Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York...

73

Transcript of Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York...

Page 1: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New
Page 2: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

Vincent Juvyns

Luxembourg

Tilmann Galler, CFA

Frankfurt

Maria Paola Toschi

Milan

Shogo Maekawa

Tokyo

Lucia Gutierrez Mellado

Madrid

Tai Hui

Hong Kong

Marcella Chow

Hong Kong

Max McKechnie

London

Yoshinori Shigemi

Tokyo

Kerry Craig, CFA

Melbourne

Dr. Jasslyn Yeo, CFA

Singapore

Karen Ward

London

Ambrose Crofton, CFA

London

Chaoping Zhu, CFA

Shanghai

Jai Malhi, CFA

London

Manuel Arroyo Ozores, CFA

Madrid

Agnes Lin

Taipei

Michael Bell, CFA

London

Alex Dryden, CFA

New York

Samantha Azzarello

New York

Dr. David Kelly, CFA

New York

Dr. Cecelia Mundt

New York

Meera Pandit, CFA

New York

John Manley

New York

Tyler Voigt, CFA

New York

Gabriela Santos

New York

David Lebovitz

New York

Jordan Jackson

New York

Jennie Li

New York

Hugh Gimber, CFA

London Ian Hui

Hong Kong

Page 3: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

3

Page 4: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

4

Source: Compustat, FactSet, Federal Reserve, Standard & Poor’s, J.P. Morgan Asset Management.Dividend yield is calculated as consensus estimates of dividends for the next 12 months, divided by most recent price, as provided by Compustat. Forward price to earnings ratio is a bottom-up calculation based on the most recent S&P 500 Index price, divided by consensus estimates for earnings in the next 12 months (NTM), and is provided by FactSet Market Aggregates. Returns are cumulative and based on S&P 500 Index price movement only, and do not include the reinvestment of dividends. Past performance is not indicative of future returns.Guide to the Markets – U.S. Data are as of May 31, 2020.

S&P 500 Price Index

Characteristic 3/24/2000 10/9/2007 2/19/2020 5/31/2020

Index Level 1,527 1,565 3,386 3,044

P/E Ratio (fwd.) 27.2x 15.7x 19.0x 21.7x

Dividend Yield 1.4% 1.9% 1.9% 2.0%

10-yr. Treasury 6.2% 4.7% 1.6% 0.7%

600

900

1,200

1,500

1,800

2,100

2,400

2,700

3,000

3,300

3,600

'96 '97 '98 '99 '00 '01 '02 '03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19

+106%

-49%

+101%

-57%

+401%

Dec. 31, 1996P/E (fwd.) = 16.0x

741

Mar. 24, 2000P/E (fwd.) = 27.2x

1,527

Oct. 9, 2002P/E (fwd.) = 14.1x

777

Oct. 9, 2007P/E (fwd.) = 15.7x

1,565

Mar. 9, 2009P/E (fwd.) = 10.3x

677

May 31, 2020P/E (fwd.) = 21.7x

3,044

Feb. 19, 2020P/E (fwd.) = 19.0x

3,386

-10%

Page 5: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

5

Source: FactSet, FRB, Robert Shiller, Standard & Poor’s, Thomson Reuters, J.P. Morgan Asset Management. Price to earnings is price divided by consensus analyst estimates of earnings per share for the next 12 months as provided by IBES since June 1995, and FactSet for May 31, 2020. Current next 12-months consensus earnings estimates are $141. Average P/E and standard deviations are calculated using 25 years of IBES history. Shiller’s P/E uses trailing 10-years of inflation-adjusted earnings as reported by companies. Dividend yield is calculated as the next 12-month consensus dividend divided by most recent price. Price to book ratio is the price divided by book value per share. Price to cash flow is price divided by NTM cash flow. EY minus Baa yield is the forward earnings yield (consensus analyst estimates of EPS over the next 12 months divided by price) minus the Moody’s Baa seasoned corporate bond yield. Std. dev. over-/under-valued is calculated using the average and standard deviation over 25 years for each measure.Guide to the Markets – U.S. Data are as of May 31, 2020.

S&P 500 Index: Forward P/E ratio

Valuation

measure Description Latest

25-year

avg.*

Std. dev.

Over-/under-

Valued

P/E Forw ard P/E 21.66x 16.38x 1.68

CAPE Shiller's P/E 28.71 27.32 0.23

Div. Yield Dividend yield 1.98% 2.07% 0.25

P/B Price to book 3.27 2.97 0.41

P/CF Price to cash flow 14.79 10.63 2.13

EY Spread EY minus Baa yield 0.82% 0.02% -0.40

25-year average: 16.38x

+1 Std. dev.: 19.53x

-1 Std. dev.: 13.23x

May 31, 2020:21.66x

8x

10x

12x

14x

16x

18x

20x

22x

24x

26x

'95 '97 '99 '01 '03 '05 '07 '09 '11 '13 '15 '17 '19

Page 6: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

6

Source: FactSet, Standard & Poor’s, Thomson Reuters, J.P. Morgan Asset Management. Returns are 12-month and 60-month annualized total returns, measured monthly, beginning May 31, 1995. R² represents the percent of total variation in total returns that can be explained by forward P/E ratios.Guide to the Markets – U.S. Data are as of May 31, 2020.

Forward P/E and subsequent 1-yr. returns Forward P/E and subsequent 5-yr. annualized returnsS&P 500 Total Return Index S&P 500 Total Return Index

R2 = 9% R

2 = 45%

May 31, 2020: 21.7x

-60%

-40%

-20%

0%

20%

40%

60%

8.0x 11.0x 14.0x 17.0x 20.0x 23.0x

May 31, 2020: 21.7x

-60%

-40%

-20%

0%

20%

40%

60%

8.0x 11.0x 14.0x 17.0x 20.0x 23.0x

Page 7: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

7

Source: Compustat, FactSet, Standard & Poor’s, J.P. Morgan Asset Management.Historical EPS levels are based on annual operating earnings per share. Earnings estimates are based on estimates from FactSet Market Aggregates. Past performance is not indicative of future returns.Guide to the Markets – U.S. Data are as of May 31, 2020.

S&P 500 earnings per share S&P 500 2020 earnings growth estimatesIndex annual operating earnings Year-over-year % change

$0

$20

$40

$60

$80

$100

$120

$140

$160

$180

$200

'88 '91 '94 '97 '00 '03 '06 '09 '12 '15 '18 '21

Consensus analyst estimates5%

10%6% 9%

6%11% 13%

10%5%

15%12%

20%

1% 1%

-2% -3%-7%

-14%

-21%-22%

-36%

-46%

-54%

-106%-115%

-95%

-75%

-55%

-35%

-15%

5%

25%

Earnings recessions

As of 12/31/2019

As of 5/31/2020

Page 8: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

8

Source: Compustat, FactSet, Standard & Poor’s, J.P. Morgan Asset Management.EPS levels are based on annual operating earnings per share. Percentages may not sum due to rounding. Past performance is not indicative of future returns. *1Q20 earnings are calculated using actual earnings for 97.1% of S&P 500 market cap and earnings estimates for the remaining companies.Guide to the Markets – U.S. Data are as of May 31, 2020.

S&P 500 year-over-year operating EPS growthAnnual growth broken into revenue, changes in profit margin & changes in share count

Share of EPS growth 1Q20* Avg. '01-19

Margin -46.8% 3.9%

Revenue -1.8% 3.3%

Share Count 0.4% 0.4%

Total EPS -48.2% 7.5%

-31%

19% 19%

24%

13%15%

-6%

-40%

15%

47%

15%

0%

11%

5%

-11%

6%

17%

22%

4%

-48%

-60%

-40%

-20%

0%

20%

40%

60%

'01 '02 '03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 1Q20*

1Q20*

Page 9: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

9

Source: Bloomberg, Compustat, FactSet, Standard & Poor’s, J.P. Morgan Asset Management.Buyback yield is net of share issuance and is based on last 12-months net issuance divided by market capitalization. Dividend yield is calculated as the last 12-month dividend divided by market capitalization.Guide to the Markets – U.S. Data are as of May 31, 2020.

S&P 500 uses of cash Total shareholder yield by sectorUSD billions Last 12-months dividends and buybacks minus iss. divided by mkt. cap

28% 35%36% 36%

34% 36% 35% 34% 29% 27% 28%26% 27%

10%12%

13% 13%

11%12% 12%

12% 12% 13% 14%

13% 14%

15% 11%

9%14%

12%13% 8%

9%17%

16% 14%

15% 11%

15% 16%

18%

17%

15%

17% 18%

18%

18%19% 20%

17%18%

33%

25%

23%21%

28%

23% 26%

27%

24% 25% 24%

29% 29%

$0

$500

$1,000

$1,500

$2,000

$2,500

$3,000

'07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19

2.8%

6.1%

2.4% 2.3%1.8%

1.2%

2.4%

1.6%1.1% 0.9%

3.5% 3.3%

6.1%

0.8%

2.7%2.3%

2.2%

2.6%

1.1%

1.7%

1.8%2.0%

-1.1%

-2.2%

8.9%

6.9%

5.1%4.6%

4.1%3.7%

3.5% 3.3%3.0% 2.9%

2.5% 1.0%

-4%

-2%

0%

2%

4%

6%

8%

10%

Buyback yield

Dividend yield

Dividends

Buybacks

Acquisitions

Research & development

Capital expenditures

Page 10: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

10

Source: BEA, FactSet, FTSE Russell, J.P. Morgan Asset Management.Growth is represented by the Russell 1000 Growth Index and Value is represented by the Russell 1000 Value Index.Guide to the Markets – U.S. Data are as of May 31, 2020.

Value vs. Growth relative valuations Value vs. Growth relative performanceRelative fwd. P/E ratio of Value vs. Growth, z-score, Dec. 1997 - present Based on different growth environments, quarterly, Dec. 1978 - present

May 31, 2020:-0.53

-4

-3

-2

-1

0

1

2

3

'97 '99 '01 '03 '05 '07 '09 '11 '13 '15 '17 '19

Recession

Growth cheap/value expensive

Value cheap/Growth expensive

0.93%

-1.14%

0.18%

0.64%

-1.44%

-2.0%

-1.5%

-1.0%

-0.5%

0.0%

0.5%

1.0%

1.5%

<1.0% 1.0% to2.5%

2.5% to4.0%

4.0% to5.5%

>5.5%

Qu

art

erl

y r

ela

tive

pe

rfo

rma

nce

GDP growth (q/q SAAR)

Value outperforms

Growth outperforms

Page 11: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

11

Source: FactSet, Russell Investment Group, Standard & Poor’s, J.P. Morgan Asset Management.All calculations are cumulative total return, including dividends reinvested for the stated period. Since Market Peak represents period 10/9/07 –5/31/20, illustrating market returns since the S&P 500 Index high on 10/9/07. Since Market Low represents period 3/9/09 – 5/31/20, illustrating market returns since the S&P 500 Index low on 3/9/09. Returns are cumulative returns, not annualized. For all time periods, total return is based on Russell style indices with the exception of the large blend category, which is based on the S&P 500 Index. Past performance is not indicative of future returns. The price to earnings is a bottom-up calculation based on the most recent index price, divided by consensus estimates for earnings in the next 12 months (NTM), and is provided by FactSet Market Aggregates.Guide to the Markets – U.S. Data are as of May 31, 2020.

Value Blend Growth Value Blend Growth

18.0 21.7 27.1

13.6 15.4 18.8

18.3 22.9 32.6

14.2 16.1 20.5

24.6 48.1 202.2

16.4 20.6 30.3

Since market peak (October 2007) Since market low (March 2009) Current P/E as % of 20-year avg. P/E

Value Blend Growth Value Blend Growth

La

rge

78.4% 154.5% 254.2%

La

rge

344.8% 468.7% 622.4%

La

rge

Mid 97.0% 137.1% 198.8% Mid 402.9% 472.2% 590.7% Mid

Sm

all

54.4% 96.7% 143.1%

Sm

all

281.7% 374.2% 473.8%

Sm

all

159.2%

668.3%

Blend Growth

132.5%

129.1%

150.0%

140.4%

142.0%

233.3%

144.0%

YTD

Value

Current P/E vs. 20-year avg. P/E

Mid 18.6% 22.4% 27.3% Mid

QTD

-5.0% 5.2%

La

rge

La

rge

15.1% 18.2% 22.5%

Sm

all

15.6% 21.1% 25.8%

Sm

all

-25.6%

-19.0%

GrowthBlend

La

rge

Value

-15.9% -6.6%

Sm

all

-10.7% 1.8% Mid

-15.7%

Page 12: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

12

Source: FactSet, Russell Investment Group, Standard & Poor’s, J.P. Morgan Asset Management. All calculations are cumulative total return, not annualized, including dividends for the stated period. Since market peak represents period 10/9/07 – 5/31/20. Since market low represents period 3/9/09 – 5/31/20. Correlation to Treasury yields are trailing 2-year monthly correlations between S&P 500 sector price returns and 10-year Treasury yield movements. Foreign percent of sales is from Standard & Poor’s, S&P 500 2018: Global Sales report as of August 2019. Real Estate and Comm. Services foreign sales are not included due to lack of availability. NTM earnings growth is the percent change in next 12 months earnings estimates compared to last 12 months earnings provided by brokers. Forward P/E ratio is a bottom-up calculation based on the most recent S&P 500 Index price, divided by consensus estimates for earnings in the next 12 months (NTM), and is provided by FactSet Market Aggregates. Buyback yield is net of share issuance and is calculated as last 12-months net buybacks divided by market cap. Dividend yield is calculated as the next 12-month consensus dividend divided by most recent price. Beta calculations are based on 10-years of monthly price returns for the S&P 500 and its sub-indices. *Communication Services (formerly Telecom) averages and beta are based on 5-years of backtested data by JPMAM. **Real estate NTM earnings growth is a 15-year average due to data availability. Past performance is not indicative of future returns. Energy P/E not available due to negative NTM earnings.Guide to the Markets – U.S. Data are as of May 31, 2020.

Ener

gy

Finan

cials

Mat

erials

Indus

tria

ls

Cons. D

iscr

.

Technolo

gy

Com

m. S

ervic

es*

Real

Est

ate

Heal

th C

are

Cons. S

taple

s

Util

ities

S&P 5

00 In

dex

S&P weight 2.9% 10.4% 2.5% 8.0% 10.5% 26.2% 11.0% 2.8% 15.2% 7.1% 3.2% 100.0%

Russell Growth weight 0.2% 2.9% 1.3% 7.6% 14.8% 40.2% 11.9% 2.3% 14.7% 4.2% 0.0% 100.0%

Russell Value weight 6.3% 20.8% 4.5% 9.5% 5.8% 6.9% 8.6% 4.8% 15.4% 10.0% 7.3% 100.0%

QTD 32.2 12.6 23.4 14.7 26.5 21.8 20.7 11.6 16.4 8.5 7.8 18.2

YTD -34.5 -23.4 -8.9 -16.3 2.1 7.3 0.2 -9.9 1.6 -5.3 -6.8 -5.0

Since market peak (October 2007)

-30.2 4.6 71.1 100.6 308.1 380.8 79.6 90.3 263.0 199.5 134.2 154.5

Since market low (March 2009)

27.8 470.8 307.5 451.4 844.7 907.4 243.1 605.7 485.2 320.0 309.8 468.7

Beta to S&P 500 1.47 1.20 1.21 1.17 1.12 1.06 0.96* 0.77 0.78 0.59 0.35 1.00 β

Correl. to Treas. yields 0.55 0.65 0.49 0.55 0.35 0.42 0.47 0.22 0.39 0.51 0.31 0.51 ρ

Foreign % of sales 51.3 30.1 56.8 43.8 34.0 58.2 44.7 - 38.5 32.7 - 42.9 %

NTM Earnings Growth -77.9% -13.7% -3.5% -13.8% -17.0% 6.8% -0.1% -1.1% 4.7% 2.2% 3.2% -4.0%

20-yr avg. 11.1% 21.9% 18.9% 10.7% 15.0% 13.8% 9.6%* 7.6%** 9.4% 8.4% 4.6% 11.1%

Forward P/E ratio - 14.9x 21.7x 24.9x 43.5x 23.5x 21.9x 19.6x 17.0x 19.8x 18.2x 21.7x

20-yr avg. 16.5x 12.5x 14.1x 15.9x 17.9x 19.2x 18.3x* 15.7x 16.0x 16.8x 14.5x 15.4x

Buyback yield 0.8% 6.1% 2.3% 2.7% 1.8% 2.6% 2.0% -1.1% 1.7% 1.1% -2.2% 2.2%

20-yr avg. 1.5% 0.0% 0.7% 2.1% 2.4% 2.8% 1.2% -0.9% 1.9% 1.8% -1.0% 1.6%

Dividend yield 5.7% 2.8% 2.4% 2.1% 1.0% 1.3% 1.3% 3.4% 1.8% 3.0% 3.6% 2.0%

20-yr avg. 2.5% 2.3% 2.6% 2.2% 1.4% 1.0% 1.5%* 4.3% 1.8% 2.8% 3.9% 2.1%

We

igh

tD

ivR

etu

rn (

%)

EP

SP

/EB

bk

Page 13: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

13

Source: FactSet, MSCI, Russell, Standard & Poor’s, J.P. Morgan Asset Management. The MSCI High Dividend Yield Index aims to offer a higher than average dividend yield relative to the parent index that passes dividend sustainability and persistence screens. The MSCI Minimum Volatility Index optimizes the MSCI USA Index using an estimated security co-variance matrix to produce low absolute volatility for a given set of constraints. The MSCI Defensive Sectors Index includes: Consumer Staples, Energy, Health Care and Utilities. The MSCI Cyclical Sectors Index contains: Consumer Discretionary, Communication Services, Financials, Industrials, Information Technology and Materials. Securities in the MSCI Momentum Index are selected based on a momentum value of 12-month and 6-month price performance. Constituents of the MSCI Sector Neutral Quality Index are selected based on stronger quality characteristics to their peers within the same GICS sector by using three main variables: high return-on-equity, low leverage and low earnings variability. Constituents of the MSCI Enhanced Value Index are based on three variables: price-to-book value, price-to-forward earnings and enterprise value-to-cash flow from operations. The Russell 2000 is used for small cap. The MSCI USA Diversified Multiple Factor Index aims to maximize exposure to four factors – Value, Momentum, Quality and Size. Annualized volatility is calculated as the standard deviation of quarterly returns multiplied by the square root of 4. Guide to the Markets – U.S. Data are as of May 31, 2020.

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 YTD Ann. Vol.

Momen.High

Div.Momen. Min. Vol. Value

Small

Cap

High

Div.Cyclical Value Value Momen.

Small

CapMomen. Min. Vol. Cyclical Momen. Momen.

Small

Cap

19.3% 21.1% 17.8% -25.7% 38.8% 26.9% 14.3% 20.1% 43.2% 17.7% 9.3% 21.3% 37.8% 1.5% 36.3% 0.8% 11.0% 18.7%

Multi-

FactorValue Defens. Defens. Cyclical

Multi-

FactorMin. Vol. Value

Small

CapMin. Vol. Min. Vol.

High

Div.Cyclical Momen. Quality Cyclical Min. Vol. Value

15.7% 19.7% 17.7% -26.7% 36.9% 18.3% 12.9% 16.8% 38.8% 16.5% 5.6% 16.3% 27.3% -1.6% 34.4% -3.7% 10.2% 17.7%

ValueSmall

CapQuality

High

Div.

Multi-

FactorMomen. Defens.

Small

Cap

Multi-

Factor

High

Div.Quality Value Quality

High

Div.Momen. Quality

Multi-

FactorCyclical

13.2% 18.4% 10.1% -27.6% 29.8% 18.2% 10.1% 16.3% 37.4% 14.9% 4.6% 15.9% 22.5% -2.3% 28.1% -4.3% 9.9% 17.7%

Defens.Multi-

Factor

Multi-

FactorQuality

Small

CapCyclical Quality

Multi-

FactorCyclical

Multi-

FactorCyclical Cyclical Value Defens. Min. Vol. Min. Vol. Quality Momen.

11.1% 16.6% 5.5% -31.2% 27.2% 17.9% 7.5% 15.7% 35.0% 14.8% 2.6% 14.0% 22.2% -2.9% 28.0% -5.5% 9.9% 16.3%

Min. Vol. Defens. Min. Vol.Small

CapQuality

High

Div.

Multi-

FactorMomen. Momen. Momen.

High

Div.

Multi-

Factor

Multi-

FactorCyclical Value Defens.

High

Div.

Multi-

Factor

6.6% 15.9% 4.3% -33.8% 24.9% 15.9% 7.3% 15.1% 34.8% 14.7% 0.7% 13.7% 21.5% -5.3% 27.7% -5.9% 9.5% 15.4%

Quality Cyclical Value ValueHigh

Div.Min. Vol. Momen. Quality Quality Cyclical

Multi-

FactorMin. Vol.

High

Div.Quality

Multi-

Factor

Multi-

FactorValue Quality

5.4% 15.0% 1.1% -36.9% 18.4% 14.7% 6.1% 12.8% 34.3% 13.6% 0.4% 10.7% 19.5% -5.6% 26.6% -9.2% 9.5% 13.6%

Small

CapMin. Vol.

High

Div.

Multi-

FactorMin. Vol. Quality Value Min. Vol.

High

Div.Defens. Defens. Quality Min. Vol.

Multi-

Factor

Small

Cap

High

Div.Defens.

High

Div.

4.6% 15.0% 0.0% -39.3% 18.4% 14.2% -2.7% 11.2% 28.9% 13.0% -0.9% 9.4% 19.2% -9.7% 25.5% -10.5% 9.0% 13.3%

High

Div.Quality Cyclical Momen. Momen. Value Cyclical Defens. Defens. Quality

Small

CapDefens.

Small

Cap

Small

Cap

High

Div.

Small

CapCyclical Defens.

3.7% 12.8% -0.8% -40.9% 17.6% 12.7% -3.4% 10.7% 28.9% 10.7% -4.4% 7.7% 14.6% -11.0% 22.5% -15.9% 8.8% 12.3%

Cyclical Momen.Small

CapCyclical Defens. Defens.

Small

Cap

High

Div.Min. Vol.

Small

CapValue Momen. Defens. Value Defens. Value

Small

CapMin. Vol.

2.5% 10.7% -1.6% -44.8% 16.5% 12.0% -4.2% 10.6% 25.3% 4.9% -6.4% 5.1% 12.3% -11.1% 21.4% -18.3% 7.9% 11.7%

2005 - 2019

Page 14: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

14

Source: FactSet, Standard & Poor’s, J.P. Morgan Asset Management.Returns are based on price index only and do not include dividends. Intra-year drops refers to the largest market drops from a peak to a trough during the year. For illustrative purposes only. Returns shown are calendar year returns from 1980 to 2019, over which time period the average annual return was 8.9%.Guide to the Markets – U.S. Data are as of May 31, 2020.

S&P 500 intra-year declines vs. calendar year returnsDespite average intra-year drops of 13.8%, annual returns positive in 30 of 40 years

26

-10

1517

1

26

15

2

12

27

-7

26

47

-2

34

20

31

27

20

-10-13

-23

26

9

3

14

4

-38

23

13

0

13

30

11

-1

10

19

-6

29

-6

-17 -18-17

-7

-13

-8-9

-34

-8 -8

-20

-6 -6 -5

-9

-3

-8-11

-19

-12

-17

-30

-34

-14

-8 -7 -8-10

-49

-28

-16-19

-10

-6-7

-12-11

-3

-20

-7

-34

YTD

-60%

-40%

-20%

0%

20%

40%

'80 '85 '90 '95 '00 '05 '10 '15 '20

Page 15: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

15

Source: CBOE, FactSet, Standard & Poor’s, J.P. Morgan Asset Management.Drawdowns are calculated as the prior peak to the lowest point. Guide to the Markets – U.S. Data are as of May 31, 2020.

Major pullbacks since the Financial CrisisS&P 500 Price index

VolatilityVIX Index VIX Level

'08 Peak 80.9

Average 17.5

Latest 27.5

1,000

1,500

2,000

2,500

3,000

3,500

'10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20

8

18

28

38

48

58

68

78

88

'10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20

Aug. 25, 2015: -12.4%

Jul. 2, 2010: -16.0%

Oct. 3, 2011: -19.4%

Jun. 1, 2012: -9.9%

Jun. 24, 2013: -5.8%

Oct. 15, 2014: -7.4%

Jul. ’10:Flash Crash,

BP oil spill, Europe/Greece

Oct. ’11:U.S. downgrade,

Europe/periphery stress

Jun. ’12:Euro double

dip

Jun. ’13:Taper Tantrum

Oct. ’14:Global

slowdown fears, Ebola

Aug. ’15:Global

slowdown fears,

China, Fed uncertainty

Feb. 11, 2016:-13.3%

Feb. ’16:Oil, U.S.

recession fears, China

Feb. 8, 2018:-10.2%

Feb. ’18:Inflation,

trade, tech

Dec. 24, 2018:-19.8%

Dec. ’18:Rising

rates, trade, peak

growth

Mar. 23, 2020:-33.9%

Feb. ’20:Global

slowdown, COVID-19,

oil price collapse

Page 16: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

16

Source: FactSet, NBER, Robert Shiller, Standard & Poor’s, J.P. Morgan Asset Management.*A bear market is defined as a 20% or more decline from the previous market high. The related market return is the peak to trough return over the cycle. Periods of “Recession” are defined using NBER business cycle dates. “Commodity spikes” are defined as movement in oil prices of over 100% over an 18-month period. Periods of “Extreme Valuations” are those where S&P 500 last 12 months’ P/E levels were approximately two standard deviations above long-run averages, or time periods where equity market valuations appeared expensive given the broader macroeconomic environment. “Aggressive Fed Tightening” is defined as Federal Reserve monetary tightening that was unexpected and/or significant in magnitude. Bear and Bull returns are price returns.Guide to the Markets – U.S. Data are as of May 31, 2020.

U.S. recessions and S&P 500 composite declines from all-time highs

Characteristics of bull and bear markets

1 Crash of 1929 - Excessive leverage, irrational exuberance Sep 1929 -86% 32 Jul 1926 152% 37

2 1937 Fed Tightening - Premature policy tightening M ar 1937 -60% 61 M ar 1935 129% 23

3 Post WWII Crash - Post-war demobilization, recession fears M ay 1946 -30% 36 Apr 1942 158% 49

4 Eisenhower Recession - Worldwide recession Aug 1956 -22% 14 Jun 1949 267% 85

5 Flash Crash of 1962 - Flash crash, Cuban M issile Crisis Dec 1961 -28% 6 Oct 1960 39% 13

6 1966 Financial Crisis - Credit crunch Feb 1966 -22% 7 Oct 1962 76% 39

7 Tech Crash of 1970 - Economic overheating, civil unrest Nov 1968 -36% 17 Oct 1966 48% 25

8 Stagflation - OPEC oil embargo Jan 1973 -48% 20 M ay 1970 74% 31

9 Volcker Tightening - Whip Inflation Now Nov 1980 -27% 20 M ar 1978 62% 32

10 1987 Crash - Program trading, overheating markets Aug 1987 -34% 3 Aug 1982 229% 60

11 Tech Bubble - Extreme valuations, .com boom/bust M ar 2000 -49% 30 Oct 1990 417% 113

12 Global Financial Crisis - Leverage/housing, Lehman collapse Oct 2007 -57% 17 Oct 2002 101% 60

13 Global Slowdown - COVID-19, o il price war Feb 2020 -34% 1 M ar 2009 401% 134

- -42% 22 - 166% 54

B ull

return

D urat io n

(mo nths)M arket co rrect io n

A verages

M arket

peak

B ear

return*

D urat io n

(mo nths)*R ecessio n

C o mmo dity

Spike

A ggressive

F ed

Extreme

Valuat io n

B ull begin

date

B ear M arket M acro enviro nment B ull markets

1

2

3

45

6

7

8

910

1112

13

-100%

-80%

-60%

-40%

-20%

0%

1928 1933 1938 1943 1948 1953 1958 1963 1968 1973 1978 1983 1988 1993 1998 2003 2008 2013 2018

Recession

20% Market decline*

Page 17: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

17

Source: FactSet, NBER, Robert Shiller, J.P. Morgan Asset Management. Data shown in log scale to best illustrate long-term index patterns. Past performance is not indicative of future returns. Chart is for illustrative purposes only. Guide to the Markets – U.S. Data are as of May 31, 2020.

S&P Composite IndexLog scale, annual

1

10

100

1,000

1900 1909 1918 1927 1936 1945 1955 1964 1973 1982 1991 2000 2010 2019

Recessions

Tech boom(1997-2000)

End of Cold War

(1991)

Reagan era(1981-1989)

Post-Warboom

New Deal(1933-1940)

Roaring 20s

Progressive era (1890-1920)

World War I(1914-1918) Great

Depression

(1929-1939)

World War II(1939-1945)

Korean War(1950-1953)

Vietnam War(1969-1972)

Oil shocks(1973 & 1979)

Stagflation (1973-1975)

Global financial crisis (2008)

BlackMonday

(1987)

Page 18: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

18

Source: BEA, FactSet, J.P. Morgan Asset Management.Values may not sum to 100% due to rounding. Quarter-over-quarter percent changes are at an annualized rate. Average represents the annualized growth rate for the full period. Expansion average refers to the period starting in the third quarter of 2009.Guide to the Markets – U.S. Data are as of May 31, 2020.

Real GDP Components of GDPYear-over-year % change 1Q20 nominal GDP, USD trillions

Real GDP 1Q20

YoY % chg: 0.3%

QoQ % chg: -5.0%

Average: 2.7%

Expansion average: 2.1%

-6%

-4%

-2%

0%

2%

4%

6%

8%

10%

'70 '75 '80 '85 '90 '95 '00 '05 '10 '15

67.7% Consumption

17.9% Gov't spending

12.9% Investment ex-housing

4.0% Housing

-2.4% Net exports-$1

$1

$3

$5

$7

$9

$11

$13

$15

$17

$19

$21

$23

Page 19: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

19

Source: FactSet, FRB, J.P. Morgan Asset Management; (Top and bottom right) BEA. Data include households and nonprofit organizations. SA – seasonally adjusted. *Revolving includes credit cards. Values may not sum to 100% due to rounding. **1Q20 figures for debt service ratio and household net worth are J.P. Morgan Asset Management estimates. Guide to the Markets – U.S. Data are as of May 31, 2020.

Consumer balance sheet Household debt service ratio4Q19, trillions of dollars outstanding, not seasonally adjusted Debt payments as % of disposable personal income, SA

3Q07 Peak $85.6tn

1Q09 Low $74.6tn

Household net worthNot seasonally adjusted, USD billions

Other non-revolving: 2%

Revolving*: 7%

Auto loans: 7%

Other liabilities: 9%

Student debt: 10%

Other financial assets: 42%

Mortgages: 66%

Pension funds: 21%

Deposits: 8%

Other tangible: 5%

Homes: 24%

$0

$10

$20

$30

$40

$50

$60

$70

$80

$90

$100

$110

$120

$130

$140

1Q80: 10.6%

4Q07: 13.2%

1Q20**: 9.7%

9%

10%

11%

12%

13%

14%

'80 '85 '90 '95 '00 '05 '10 '15 '20

3Q07: $71,338

$20,000

$40,000

$60,000

$80,000

$100,000

$120,000

$140,000

'90 '92 '94 '96 '98 '00 '02 '04 '06 '08 '10 '12 '14 '16 '18 '20

Total liabilities: $16.6tn

Total assets: $134.9tn

1Q20**: $115,703

Assets Liabilities

Page 20: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

20

Source: Bureau of Labor Statistics, Piketty, Saez, J.P. Morgan Asset Management. (Left) “Income Inequality in the United States, 1913-1998” by Thomas Piketty and Emmanuel Saez, updated to 2018. Income is defined as market income and excludes government transfers but includes capital gains. In 2018, top decile includes all families with annual income above $135,000. (Right) Consumer Expenditure Survey 2018.Guide to the Markets – U.S. Data are as of May 31, 2020.

Top 10% share of pre-tax national income Spending as a share of income after taxConsumer expenditure survey, 2018

69%

101%

0%

20%

40%

60%

80%

100%

120%

Top 10% Bottom 90%30%

35%

40%

45%

50%

55%

'50 '55 '60 '65 '70 '75 '80 '85 '90 '95 '00 '05 '10 '15

Income share: 50.5%

Page 21: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

21

Source: BEA, FactSet, J.P. Morgan Asset Management.Guide to the Markets – U.S. Data are as of May 31, 2020.

Residential investment as a % of GDP Business fixed investment as a % of GDPQuarterly, seasonally adjusted Quarterly, seasonally adjusted

Motor vehicle and parts consumption as a % of GDP Change in private inventories as a % of GDPQuarterly, seasonally adjusted Quarterly, seasonally adjusted

1Q20: 4.0%

2%

3%

4%

5%

6%

7%

'68 '73 '78 '83 '88 '93 '98 '03 '08 '13 '18

Recession

1Q20: 13.1%

10%

11%

12%

13%

14%

15%

16%

'68 '73 '78 '83 '88 '93 '98 '03 '08 '13 '18

1Q20: 2.3%

1.5%

2.0%

2.5%

3.0%

3.5%

4.0%

4.5%

5.0%

'68 '73 '78 '83 '88 '93 '98 '03 '08 '13 '18

1Q20: -0.2%

-2.0%

-1.5%

-1.0%

-0.5%

0.0%

0.5%

1.0%

1.5%

2.0%

2.5%

'68 '73 '78 '83 '88 '93 '98 '03 '08 '13 '18

Average: 3.2%

Average: 4.4%

Average: 12.8%

Average: 0.4%

Page 22: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

22

Source: J.P. Morgan Asset Management; (Top left) Census Bureau, DOD, DOJ; (Top left and right) BLS; (Right and bottom left) BEA.GDP drivers are calculated as the average annualized growth in the 10 years ending in 4Q19. Future working-age population is calculated as the total estimated number of Americans from the Census Bureau, per the February 2020 report, controlled for military enrollment, growth in institutionalized population and demographic trends. Growth in working-age population does not include illegal immigration; DOD Troop Readiness reports used to estimate percent of population enlisted. Numbers may not sum due to rounding. Guide to the Markets – U.S. Data are as of May 31, 2020.

Growth in working-age population Drivers of GDP growthPercent increase in civilian non-institutional population ages 16-64 Average year-over-year % change

Growth in workers

+ Growth in real output per worker

Growth in real GDP

Growth in private non-residential capital stockNon-residential fixed assets, year-over-year % change

3.1% 2.5% 0.9% 1.4% 2.0% 1.5% 0.9%

1.2%

1.9%

2.4%

1.7%

1.3%

0.3%

1.4%

4.3%4.4%

3.3%3.1%

3.4%

1.8%

2.3%

0.0%

0.5%

1.0%

1.5%

2.0%

2.5%

3.0%

3.5%

4.0%

4.5%

5.0%

'50-'59 '60-'69 '70-'79 '80-'89 '90-'99 '00-'09 '10-'19

0%

1%

2%

3%

4%

5%

6%

'55 '60 '65 '70 '75 '80 '85 '90 '95 '00 '05 '10 '15

0.8%0.6% 0.7%

0.2%0.05%

0.3%0.5%

0.6%

0.2%

0.14%

1.1% 1.1%1.2%

0.4%

0.2%

0.0%

0.3%

0.6%

0.9%

1.2%

1.5%

1.8%

'80-'89 '90-'99 '00-'09 '10-'19 '20-'29

Census forecast

Immigrant Native born

2018: 2.2%

Page 23: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

23

Source: CBO, J.P. Morgan Asset Management. JPMAM estimates include costs of CPRSA, FFCR, CARES and PPPHCE Acts, signed into law on March 6, 18 and 27 and April 24 as estimated by CBO. Charts on right add impacts of these acts, interest cost of additional debt, an assumed extra $1 trillion in further acts in 2020 and 2021 and recession impacts on revenues, spending and GDP. Congressional Budget Office (CBO) March 2020 Baseline Budget Forecast. Note: Years shown are fiscal years (Oct. 1 through Sep. 30). Guide to the Markets – U.S. Data are as of May 31, 2020.

Federal Acts to Offset Impact of Coronavirus Recession Federal budget surplus/deficit% of GDP, 1990 – 2030, 2020 CBO Baseline

Federal net debt (accumulated deficits)% of GDP, 1940 – 2030, 2020 CBO Baseline, end of fiscal year

20%

40%

60%

80%

100%

120%

140%

'40 '50 '60 '70 '80 '90 '00 '10 '20 '30

-20%

-16%

-12%

-8%

-4%

0%

4%'90 '95 '00 '05 '10 '15 '20 '25 '30

CBO Baseline2030: 97.8%

2019: 79.2%

2030: -5.5%

2019: -4.6%

JPMAM Forecast

2030: 125.5%

CBO Baseline

JPMAM Forecast2030: -7.0%

2020: -18.3%Amount ($ bn) Measure

$293

One-time recovery rebates checks amounting to

$1,200 per adult and $500 per child up to certain

income limits

$268

Boost to unemployment benefits, adding $600 per

week to every check until July 31st, expanding

program to cover contractors and self-employed and

extending program from 26 weeks to 39 weeks

$27

Grants to airlines and businesses deemed important

for national security. Non-forgivable loans through

Fed are excluded as they are assumed to be repaid

$760Small business relief, mostly "forgivable loans" for

spending on payroll, rent and utilities

$150 Direct aid to state and local governments

$425 Health-related spending

$517 Other spending and tax breaks

$2.441 trillion ~11.8% of GDP

Page 24: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

24

Source: BLS, FactSet, J.P. Morgan Asset Management.Guide to the Markets – U.S. Data are as of May 31, 2020.

Civilian unemployment rate and year-over-year wage growth for private production and non-supervisory workersSeasonally adjusted, percent

50-year avg.

Unemployment Rate 6.2%

Wage Growth 4.1%

May 1975: 9.0%

Nov. 1982: 10.8%

Jun. 1992: 7.8%

Jun. 2003: 6.3%

Oct. 2009: 10.0%

Apr. 2020: 14.7%

Apr. 2020: 7.7%

0%

2%

4%

6%

8%

10%

12%

14%

16%

'70 '72 '74 '76 '78 '80 '82 '84 '86 '88 '90 '92 '94 '96 '98 '00 '02 '04 '06 '08 '10 '12 '14 '16 '18 '20

Page 25: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

25

Source: J.P. Morgan Asset Management, (Left) Bureau of Labor Statistics; (Right) Bureau of Economic Analysis, “Measuring Economic Policy Uncertainty” by Scott Baker, Nicholas Bloom and Steven J. Davis. The policy uncertainty index is constructed by three components: newspaper coverage of policy-related economic uncertainty, the number of federal tax code provisions set to expire in future years and disagreement among economic forecasters as a proxy for uncertainty.Guide to the Markets – U.S. Data are as of May 31, 2020.

Hires, job openings and layoffs and discharges Policy uncertainty and capital spendingShare of total nonfarm employment, seasonally adjusted, percent Year-over-year % change

1.0%

2.0%

3.0%

4.0%

5.0%

6.0%

7.0%

8.0%

'00 '02 '04 '06 '08 '10 '12 '14 '16 '18

Hires

Layoffs and discharges

-20%

-15%

-10%

-5%

0%

5%

10%

15%

20%-60%

-40%

-20%

0%

20%

40%

60%

80%

100%

'90 '92 '94 '96 '98 '00 '02 '04 '06 '08 '10 '12 '14 '16 '18 '20

Economic policy uncertainty

Nonresidential fixed investment(4Q lag)

Uncertainty rising,CAPEX falling

Uncertainty falling,CAPEX rising

Recession

Job openings

Page 26: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

26

Source: Johns Hopkins CSSE, J.P. Morgan Asset Management. Guide to the Markets – U.S. Data are as of May 31, 2020.

Confirmed cases and fatalities in the U.S. Change in confirmed cases and fatalities in the U.S. As of May 31, 2020 7-day moving average, as of May 31, 2020

U.S. 1,790,172

U.S. 104,381 0

200,000

400,000

600,000

800,000

1,000,000

1,200,000

1,400,000

1,600,000

1,800,000

Cases Fatalities0

500

1,000

1,500

2,000

2,500

0

5,000

10,000

15,000

20,000

25,000

30,000

35,000

Mar-01 Mar-15 Mar-29 Apr-12 Apr-26 May-10 May-24

Confirmed cases Fatalities

Page 27: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

27

Source: Bureau of Economic Analysis, Bureau of Labor Statistics, Factset, S&P 500, J.P. Morgan Asset Management. Consumer spending (2019 annual): membership clubs, sports, amusement parks, campgrounds, movies, theaters, museums, libraries, casino gambling, purchased meals and beverages, packaged tours, air and water transportation, hotels and motels, and select retail goods and services. Employment (January 2020): air and water transportation, transit and ground passenger transportation, support activities for air and water transportation, arts, entertainment, recreation, accommodation, food services and drinking places, and retail ex-food and beverage stores. Earnings (2019 operating): hotels restaurants and leisure; airlines; select entertainment and travel booking companies; multiline and specialty retail; and textiles apparel and luxury goods. Guide to the Markets – U.S. Data are as of May 31, 2020.

Consumer spending by industry Earnings contribution by industry2019, billions Contribution to 2019 S&P 500 operating earnings

Employment by industryJan. 2020, thousands

Retail ex-food & beverage$2,711

Restaurants & bars$840

Entertainment $336 Transportation

$166

Hotels & tourism

$118

Total: $4,171 (19% of GDP)

$0

$500

$1,000

$1,500

$2,000

$2,500

$3,000

$3,500

$4,000

$4,500

Consumer spending

Retail ex-food & beverage12,575

Restaurants & bars 12,235

Entertainment 2,493 Transportation1,420

Hotels & tourism 2,095

Total: 30,817 (20% of payroll jobs)

0

5,000

10,000

15,000

20,000

25,000

30,000

35,000

Employment

Retail ex-food & beverage

$5.36

Restaurants & bars $1.38

Entertainment$1.05

Airlines & cruises $1.88

Hotels & tourism $1.08

Total: $10.75 (7% of operating earnings)

$0

$2

$4

$6

$8

$10

$12

2019 Earnings contribution

Page 28: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

28

Source: J.P. Morgan Asset Management; (Left) BLS, FactSet; (Right) Census Bureau.Unemployment rates shown are for civilians aged 25 and older. Earnings by educational attainment comes from the Current Population Survey and is published under historical income tables by person by the Census Bureau.Guide to the Markets – U.S. Data are as of May 31, 2020.

Unemployment rate by education level Average annual earnings by highest degree earnedWorkers aged 18 and older, 2018

Education level Apr. 2020

Less than high school degree 21.2%

High school no college 17.3%

Some college 15.0%

College or greater 8.4%

$38,936

$71,155

$99,918

$0

$10,000

$20,000

$30,000

$40,000

$50,000

$60,000

$70,000

$80,000

$90,000

$100,000

$110,000

High school graduate Bachelor's degree Advanced degree

+32K

+29K

0%

2%

4%

6%

8%

10%

12%

14%

16%

18%

20%

22%

'92 '94 '96 '98 '00 '02 '04 '06 '08 '10 '12 '14 '16 '18 '20

Page 29: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

29

Source: BLS, FactSet, J.P. Morgan Asset Management.CPI used is CPI-U and values shown are % change vs. one year ago. Core CPI is defined as CPI excluding food and energy prices. The Personal Consumption Expenditure (PCE) deflator employs an evolving chain-weighted basket of consumer expenditures instead of the fixed-weight basket used in CPI calculations. Guide to the Markets – U.S. Data are as of May 31, 2020.

CPI and core CPI% change vs. prior year, seasonally adjusted

50-yr. avg. Mar. 2020 Apr. 2020

Headline CPI 3.9% 1.5% 0.4%

Core CPI 3.8% 2.1% 1.4%

Food CPI 3.9% 1.9% 3.5%

Energy CPI 4.0% -5.8% -17.3%

Headline PCE deflator 3.4% 1.3% 0.5%

Core PCE deflator 3.3% 1.7% 1.0%

-3%

0%

3%

6%

9%

12%

15%

'70 '72 '74 '76 '78 '80 '82 '84 '86 '88 '90 '92 '94 '96 '98 '00 '02 '04 '06 '08 '10 '12 '14 '16 '18 '20

Recession

Page 30: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

30

Source: J.P. Morgan Asset Management; (Left) FactSet, ICE; (Top right) Bureau of Economic Analysis, FactSet; (Bottom right) Tullett Prebon. Currencies in the DXY Index are: British pound, Canadian dollar, euro, Japanese yen, Swedish krona and Swiss franc. *Interest rate differential is the difference between the 10-year U.S. Treasury yield and a basket of the 10-year yields of each major trading partner (Australia, Canada, Europe, Japan, Sweden, Switzerland and UK). Weights on the basket are calculated using the 10-year average of total government bonds outstanding in each region. Europe is defined as the 19 countries in the euro area.Guide to the Markets – U.S. Data are as of May 31, 2020.

The U.S. dollar The U.S. trade balanceU.S. Dollar Index Current account balance, % of GDP

Developed markets interest rate differentialsDifference between U.S. and international 10-year yields*

May 31, 2020:

98.3

60

70

80

90

100

110

120

130

'95 '97 '99 '01 '03 '05 '07 '09 '11 '13 '15 '17 '19

4Q19: -2.0%

-7%

-6%

-5%

-4%

-3%

-2%

-1%

0%

'95 '97 '99 '01 '03 '05 '07 '09 '11 '13 '15 '17 '19

May 31, 2020: 0.8%

-1%

0%

1%

2%

3%

'95 '97 '99 '01 '03 '05 '07 '09 '11 '13 '15 '17 '19

Page 31: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

31

Source: J.P. Morgan Asset Management; (Top and bottom left) EIA; (Right) FactSet; (Bottom left) Baker Hughes. *Forecasts are from the May 2020 EIA Short-Term Energy Outlook and start in 2020. **U.S. crude oil inventories include the Strategic Petroleum Reserve (SPR). Active rig count includes both natural gas and oil rigs. WTI crude prices are continuous contract NYM prices in USD. Guide to the Markets – U.S. Data are as of May 31, 2020.

Change in production and consumption of liquid fuels Price of oilProduction, consumption and inventories, millions of barrels per day WTI crude, nominal prices, USD/barrel

Production 2017 2018 2019 2020* 2021* Growth since '17

U.S. 15.7 17.9 19.5 18.7 18.0 15.2%

OPEC 36.8 36.8 34.6 31.6 33.4 -9.5%

Russia 11.2 11.4 11.5 10.7 11.1 -1.2%

Global 98.1 100.8 100.6 95.2 97.7 -0.4%

Consumption

U.S. 20.0 20.5 20.5 18.3 19.7 -1.2%

China 13.6 14.0 14.5 13.6 15.1 10.9%

Global 98.7 100.0 100.7 92.6 99.5 0.8%

Inventory Change -0.6 0.8 -0.2 2.6 -1.8

U.S. crude oil inventories and rig count**Million barrels, number of active rigs

0

500

1,000

1,500

2,000

2,500

900

950

1,000

1,050

1,100

1,150

1,200

1,250

'13 '14 '15 '16 '17 '18 '19 '20

Inventories (incl. SPR) Active rigs

Jul. 3, 2008: $145.29

Feb. 12, 2009: $33.98

Jun. 13, 2014:

$106.91

Feb. 11, 2016: $26.21

Oct. 3, 2018: $76.41

May 31, 2020:

$35.49

$0

$20

$40

$60

$80

$100

$120

$140

$160

'00 '02 '04 '06 '08 '10 '12 '14 '16 '18 '20

Page 32: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

32

Source: Bloomberg, FactSet, Federal Reserve, J.P. Morgan Asset Management.Market expectations are the federal funds rates priced into the fed futures market as of the following date of the March 15, 2020 emergency cut and are through December 2022. Guide to the Markets – U.S. Data are as of May 31, 2020.

Federal funds rate expectations FOMC and market expectations for the federal funds rate

0.08%0.13% 0.13%

0.13%0%

1%

2%

3%

4%

5%

6%

7%

'99 '01 '03 '05 '07 '09 '11 '13 '15 '17 '19 '21

Federal funds rate

Market expectations on 3/16/20

Fed policy actions

Restarted unlimited asset purchase programs

Reduced reserve requirements for the banking sector

Expanded the asset purchase program to include CMBS

Restarted Term asset backed securities loan facility (TALF)

Launched a Primary (PMCCF) and Secondary Corporate Credit Facility (SMCCF)

Allowed municipal debt to be eligible as collateral in Money Market Fund Liquidity

Facility (MMLF) and Commercial Paper Funding Facility (CPFF)

Launched a Main Steet New Loan Facility (MSNLF) and Main Street Enhanced Loan

Facility (MSELF)

Page 33: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

33

Source: BLS, FactSet, Federal Reserve, J.P. Morgan Asset Management.Real 10-year Treasury yields are calculated as the daily Treasury yield less year-over-year core CPI inflation for that month except for May 2020 where real yields are calculated by subtracting out April 2020 year-over-year core inflation.Guide to the Markets – U.S. Data are as of May 31, 2020.

Nominal and real 10-year Treasury yields

Average

(1958 - YTD 2020) May 31, 2020

Nominal yields 5.94% 0.65%

Real yields 2.30% -0.79%

Inflation 3.65% 1.44%

Sep. 30, 1981: 15.84%

May 31, 2020: 0.65%

May 31, 2020: -0.79%

-5%

0%

5%

10%

15%

20%

'58 '63 '68 '73 '78 '83 '88 '93 '98 '03 '08 '13 '18

Nominal 10-year Treasury yield

Real 10-year Treasury yield

Page 34: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

34

Source: Barclays, Bloomberg, FactSet, Standard & Poor’s, U.S. Treasury, J.P. Morgan Asset Management. Sectors shown above are provided by Bloomberg unless otherwise noted and are represented by – U.S. Aggregate; MBS: U.S. Aggregate Securitized - MBS; ABS: J.P. Morgan ABS Index; Corporates: U.S. Corporates; Municipals: Muni Bond; High Yield: Corporate High Yield; TIPS: Treasury Inflation-Protected Securities (TIPS); U.S. Floating rate index; Convertibles: U.S. Convertibles Composite. *Convertibles yield is as of March 2020 due to data availability. Yield and return information based on bellwethers for Treasury securities. Sector yields reflect yield to worst. Convertibles yield is based on U.S. portion of Bloomberg Barclays Global Convertibles. Correlations are based on 15-years of monthly returns for all sectors. Change in bond price is calculated using both duration and convexity according to the following formula: New Price = (Price + (Price * -Duration * Change in Interest Rates))+(0.5 * Price * Convexity * (Change in Interest Rates)^2). Chart is for illustrative purposes only. Past performance is not indicative of future results. Guide to the Markets – U.S. Data are as of May 31, 2020.

Return Impact of a 1% fall in interest rates

U.S. Treasuries 5/31/2020 3/31/20202020

YTD

Avg.

Maturity

Correlation

to 10-year

Correlation

to S&P 500

Assumes a parallel shift in the yield curve

2-Year 0.16% 0.23% 2.96% 2 years 0.68 -0.39

5-Year 0.30% 0.37% 7.18% 5 0.92 -0.36

TIPS -0.50% -0.17% 4.84% 10 0.59 0.16Total return

10-Year 0.65% 0.70% 12.73% 10 1.00 -0.34 Price return

30-Year 1.41% 1.35% 24.98% 30 0.93 -0.34

Sector

Corporates 2.40% 3.43% 3.00% 12.0 0.43 0.38

U.S. Aggregate 1.34% 1.59% 5.47% 8.1 0.85 0.01

Convertibles 7.20% 6.77% 1.15% - -0.30 0.90

High Yield 7.02% 9.44% -4.73% 6.2 -0.25 0.73

Municipals 1.61% 2.01% 1.24% 13.0 0.39 0.08

MBS 1.40% 1.34% 3.60% 3.9 0.82 -0.14

ABS 3.50% 4.29% -0.68% 2.3 0.01 0.28

Floating Rate 1.37% 3.61% -0.34% 1.8 -0.23 0.46

Yield

0.1%

2.2%

1.4%

5.1%

3.6%

2.2%

6.2%

9.1%

2.0%

3.1%

5.1%

10.2%

29.7%

1.5%

3.5%

2.8%

6.7%

10.6%

9.4%

7.6%

11.5%

2.2%

3.8%

5.4%

10.9%

31.1%

0% 4% 8% 12% 16% 20% 24% 28% 32% 36%

Floating rate

ABS

MBS

Munis

U.S. HY

Convertibles

U.S. Aggregate

U.S. corps

2y UST

TIPS

5y UST

10y UST

30y UST

Page 35: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

35

Source: FactSet, Federal Reserve, J.P. Morgan Asset Management. Guide to the Markets – U.S. Data are as of May 31, 2020.

Yield curve U.S. Treasury yield curve

Dec. 31, 2013

May 31, 2020

0.17% 0.19%0.30%

0.50%0.65%

1.18%

1.41%

0.38%

0.78%

1.75%

2.45%

3.04%

3.72%

3.96%

0.0%

0.5%

1.0%

1.5%

2.0%

2.5%

3.0%

3.5%

4.0%

4.5%

3m 1y 2y 3y 5y 7y 10y 20y 30y

Page 36: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

36

Source: Bloomberg, FactSet, ICE, J.P. Morgan Asset Management. Sectors are Bloomberg indices except for EMD and ABS – U.S. Aggregate; MBS: U.S. Aggregate Securitized - MBS; U.S. corps: U.S. Corporates; Munis: Muni Bond; Cash: 1-3m Treasury; U.S. HY: Corporate High Yield; TIPS: Treasury Inflation-Protected Securities (TIPS); Floating Rate: U.S. Floating Rate; Convertibles: U.S. Convertibles Composite; ABS: J.P. Morgan ABS; EMD ($): J.P. Morgan EMBIG Diversified; EMD (LCL): J.P. Morgan GBI EM Global Diversified; EM Corp: J.P. Morgan CEMBI Broad Diversified; Euro Corp.: Euro Aggregate Corporate; Euro HY: Pan-European High Yield. Convertibles yield is based on the U.S. portion of the Bloomberg Barclays Global Convertibles. Country yields are represented by the global aggregate for each country. Yield and return information based on bellwethers for Treasury securities. Correlations are based on 15-years of monthly returns for all sectors. International fixed income sector correlations are in hedged U.S. dollar returns except EMD local index. Yields for all indices are hedged using three-month LIBOR rates between the U.S. and international LIBOR and are a 12-month average. Guide to the Markets – U.S. Data are as of May 31, 2020.

Correlation of fixed income sectors vs. S&P 500 and yields

2y UST

5y UST

10y UST

30y UST

TIPS

Cash

Floating rate

U.S. HY

MBS

ABS

U.S. Aggregate

Munis

U.S. corps

Convertibles

Japan

Germany UKEuro Corp.

Euro HY

EMD (LCL)

EMD ($)

EM Corp.

0.5%

1.5%

2.5%

3.5%

4.5%

5.5%

6.5%

7.5%

8.5%

-0.5 -0.3 0.0 0.3 0.5 0.8 1.0

He

dg

e a

dju

ste

dyie

ld

Correlation to S&P 500

Higher yielding sectors

Stronger correlationto equities

U.S. government

U.S. non-government

International

Page 37: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

37

Source: J.P. Morgan Global Economic Research, J.P. Morgan Asset Management.Default rates are defined as the par value percentage of the total market trading at or below 50% of par value and include any Chapter 11 filing, prepackaged filing or missed interest payments. Spread to worst indicated are the difference between the yield-to-worst of a bond and yield-to-worst of a U.S. Treasury security with a similar duration. High yield is represented by the J.P. Morgan Domestic High Yield Index. *Default rate is as of April 2020 month due to data availability.Guide to the Markets – U.S. Data are as of May 31, 2020.

Default rate and spread to worst Percent

30-yr. avg. May 31, 2020

Default rate* 3.57% 4.71%

Spread to worst 5.74% 7.24%

0%

4%

8%

12%

16%

20%

'90 '94 '98 '02 '06 '10 '14 '18

Recession

Page 38: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

38

Source: FactSet, J.P. Morgan Asset Management; (Left) Bank for International Settlements (BIS); (Top and bottom right) Barclays, Bloomberg. Government, household and non-financial corporate debt refers to gross debt. General government debt is comprised of core debt instruments that include currency and deposits, loans and debt securities. All debt values are shown at market value. *Baa debt outstanding and duration of investment grade is based on the Bloomberg Barclays U.S. Aggregate Investment Grade Corporate Credit Index. Baa debt is the lowest credit rating issued by Moody’s for investment-grade debt. Guide to the Markets – U.S. Data are as of May 31, 2020.

U.S. debt to GDP ratios Baa corporate debt* Percentage of nominal GDP Percentage of Baa-rated investment-grade corporate debt outstanding

Duration of investment-grade corporate credit universe Years

20%

30%

40%

50%

60%

70%

80%

90%

100%

110%

'75 '79 '83 '87 '91 '95 '99 '03 '07 '11 '15 '19

15%

20%

25%

30%

35%

40%

45%

50%

55%

60%

'90 '92 '94 '96 '98 '00 '02 '04 '06 '08 '10 '12 '14 '16 '18 '20

Recession

Recession

4.0

4.5

5.0

5.5

6.0

6.5

7.0

7.5

8.0

8.5

9.0

'90 '92 '94 '96 '98 '00 '02 '04 '06 '08 '10 '12 '14 '16 '18 '20

Recession

May 2020: 8.4 years

Greater sensitivityto interest rate

movements

May 2020: 48.2%% of 4Q19 GDP

Government 103.9%

Household 75.4%

Non-financial corporate 74.9%

Average: 6.2 years

Page 39: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

39

Source: J.P. Morgan Asset Management; (Left) Bloomberg, BofA/Merrill Lynch; (Top right) Bank for International Settlements International Banking Statistics, ECB, Eurostat, IMF Coordinated Portfolio Investment Survey (CPIS), IMF Currency Composition of Official Foreign Exchange Reserves (COFER), IMF International Financial Statistics (IFS), IMF-World Bank Quarterly External Debt Statistics; (Bottom right) Bloomberg, BofA/Merrill Lynch. Countries included in Europe are: Austria, Belgium, Finland, France, Germany, Greece, Ireland, Italy, Netherlands, Portugal, Slovenia, Spain, Sweden, and Switzerland.Guide to the Markets – U.S. Data are as of May 31, 2020.

Negative-yielding debt Central and domestic bank ownership by region

Share of ICE BofAML Global Broad Market Index % of total government debt outstanding, 4Q19

Breakdown of DM government bonds by yield

Yield (%)

0%

20%

40%

60%

80%

100%

-0.67 -0.43 -0.17 -0.09 0.09 0.19 0.27 0.39 0.52 1.080%

5%

10%

15%

20%

25%

30%

35%

'14 '15 '16 '17 '18 '19 '20

U.S. 10-year: 0.65%

Domestic central bank

Domestic bank

Below 0%

Below 1%

Above 1%

21.7% 19.0%12.1%

40.2%

16.4%

11.1%

0%

10%

20%

30%

40%

50%

60%

70%

Japan Eurozone United States

Market value of negative-yielding debt (USD trillions)

5/31/2020

Government debt - Japan 5.35

Government debt - Europe 5.49

Corporate debt - Total 1.27

Page 40: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

40

Source: J.P. Morgan Asset Management; (Left) Federal Reserve Bank of New York, SIFMA; (Right) Barclays. U.S. corporate debt outstanding includes money market debt. Liquidity Cost Score focuses on the cost of trading across different asset classes by assessing 20,400 fixed income securities. It is calculated by the bid-spread minus the ask-spread multiplied by the option-adjusted spread duration (OASD).Guide to the Markets – U.S. Data are as of May 31, 2020.

Primary dealer inventories Liquidity Cost Score (LCS) for different bond markets As a % of U.S. corporate debt outstanding % score, April 2020

0.0%

0.5%

1.0%

1.5%

2.0%

2.5%

USTs USTIPS

Eurogov'

JPYgov'

Euro IG US IG EM ($) EuroHY

US HY

Higher the score the morechallenging liquidityconditions

0.0%

0.5%

1.0%

1.5%

2.0%

2.5%

3.0%

3.5%

4.0%

'01 '03 '05 '07 '09 '11 '13 '15 '17 '19

Lower % = less dealer inventory as a percentageof market size

4Q19:0.1%

Page 41: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

41

Source: J.P. Morgan Asset Management; (Left) Bank of England, Bank of Japan, European Central Bank, FactSet, Federal Reserve System, J.P. Morgan Global Economic Research; (Right) Bloomberg. *Includes the Bank of Japan (BoJ), Bank of England (BoE), European Central Bank (ECB) and Federal Reserve. **Bond purchase forecast assumes $200bn GBP in net purchases from BoE through August 2021; continued BoJ QE of $50trn JPY ann. for 2020; $1.11trn EUR in net purchases from the ECB through 2020; and the Federal Reserve to purchase $2.5trn of Treasuries, $1.2trn of agency MBS and $50bn of agency CMBS through 2020. Fed assumptions are based on purchase activity in March 2020 and previous QE announcements. ***Central banks include: Australia, Brazil, Canada, Chile, China, Colombia, Denmark, Euro area, Hong Kong SAR, Indonesia, India, Japan, Korea, Malaysia, Mexico, Norway, Peru, Philippines, Poland, Russia, Saudi Arabia, South Africa, Sweden, Switzerland, Thailand, Turkey, United Kingdom and the United States. Guide to the Markets – U.S. Data are as of May 31, 2020.

Developed market central bank bond purchases* Number of rate changes by EM and DM central banks***

USD billions, 12-month rolling flow

-$1,000

$0

$1,000

$2,000

$3,000

$4,000

$5,000

$6,000

'16 '17 '18 '19 '20

0

20

40

60

80

100

120

'08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20

Forecast**

Fed

BoJ

ECB

BoE

Total

Cuts

Hikes

Page 42: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

42

Source: J.P. Morgan Asset Management; (Left) Barclays, Bloomberg, FactSet; (Right) BIS.Fixed income sectors shown above are provided by Bloomberg and are represented by the global aggregate for each country except where noted. EMD sectors are represented by the J.P. Morgan EMBIG Diversified Index (USD), the J.P. Morgan GBI EM Global Diversified Index (LCL) and the J.P. Morgan CEMBI Broad Diversified Index (Corp). European Corporates are represented by the Bloomberg Barclays Euro Aggregate Corporate Index and the Bloomberg Barclays Pan-European High Yield Index. Sector yields reflect yield to worst. Correlations are based on 10 years of monthly returns for all sectors. Past performance is not indicative of future results. Global bond market regional breakdown may not sum to 100% due to rounding. Guide to the Markets – U.S. Data are as of May 31, 2020.

Global bond market

Aggregates 5/31/2020 12/31/2019 Local USD DurationCorrel. to

10-year

USD trillions

U.S. 1.34% 2.31% 5.47% 5.47% 6.0 years 0.88

Gbl. ex-U.S. 0.81% 0.94% - -0.04% 8.1 0.25

Japan 0.09% 0.08% -0.39% 0.48% 9.5 0.48

Germany 0.04% 0.20% 1.11% 0.20% 7.0 0.05

UK 0.87% 1.30% 8.57% 1.32% 11.4 0.20

Italy 1.22% 0.97% -0.43% -1.33% 6.9 -0.09

Spain 0.46% 0.35% -0.05% -0.95% 7.6 -0.09

Sector

Euro Corp. 1.12% 0.51% -2.48% -3.36% 5.3 years 0.11

Euro HY 6.47% 3.46% -7.68% -8.51% 4.0 -0.27

EMD ($) 5.92% 4.91% - -6.06% 7.1 0.10

EMD (LCL) 4.54% 5.22% 4.18% -7.33% 5.4 -0.04

EM Corp. 5.21% 4.51% - -2.83% 5.6 -0.03

Yield YTD Return

$0

$20

$40

$60

$80

$100

$120

'89 '91 '93 '95 '97 '99 '01 '03 '05 '07 '09 '11 '13 '15 '17

EM: $25tn

Developed ex-U.S.: $46tn

U.S.: $41tn

12/31/1989 9/30/2019

US 57.6% 36.5%

Dev. ex. U.S. 41.3% 41.0%

EM 1.2% 22.5%

Page 43: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

43

Source: Barclays, Bloomberg, FactSet, J.P. Morgan Global Economic Research, J.P. Morgan Asset Management. Past performance is not indicative of future returns. Fixed income sectors shown above are provided by Bloomberg unless otherwise noted and are represented by Broad Market: U.S. Aggregate Index; MBS: US Aggregate Securitized - MBS Index; ABS: J.P. Morgan ABS Index; Corporate: U.S. Aggregate Credit - Corporates - Investment Grade; Municipals: Municipal Bond Index; High Yield: U.S. Aggregate Credit - Corporate - High Yield Index; Treasuries: Global U.S. Treasury; TIPS: U.S. Treasury Inflation Protected Notes Index; Emerging Debt USD: J.P. Morgan EMBIG Diversified Index; Emerging Debt LCL: J.P. Morgan EM Global Index. The “Asset Allocation” portfolio assumes the following weights: 20% in MBS, 5% in ABS, 20% in Corporate, 15% in Municipals, 5% in Emerging Debt USD, 5% in Emerging Debt LCL, 10% in High Yield, 15% in Treasuries, 5% in TIPS. Asset allocation portfolio assumes annual rebalancing.Guide to the Markets – U.S. Data are as of May 31, 2020.

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 YTD Ann. Vol.

EMD

USD

EMD

LCL.

EMD

LCL.Treas.

High

Yield

EMD

LCL.TIPS

EMD

USD

High

YieldMuni Muni

High

Yield

EMD

LCL.ABS

EMD

USDTreas.

EMD

USD

EMD

LCL.

10.2% 15.2% 18.1% 13.7% 58.2% 15.7% 13.6% 17.4% 7.4% 9.1% 3.3% 17.1% 15.2% 2.7% 15.0% 8.6% 7.3% 10.6%

EMD

LCL.

High

YieldTIPS MBS

EMD

USD

High

YieldMuni

EMD

LCL.ABS Corp. MBS

EMD

USD

EMD

USDMuni Corp.

Barclays

Agg

High

Yield

High

Yield

6.3% 11.8% 11.6% 8.3% 29.8% 15.1% 10.7% 16.8% 1.3% 7.5% 1.5% 10.2% 10.3% 1.3% 14.5% 5.5% 7.2% 10.3%

MuniEMD

USDTreas.

Barclays

AggABS

EMD

USDTreas.

High

YieldMBS

EMD

USD

EMD

USD

EMD

LCL.

High

YieldMBS

High

YieldTIPS

EMD

LCL.

EMD

USD

3.5% 9.9% 9.0% 5.2% 24.7% 12.2% 9.8% 15.8% -1.4% 7.4% 1.2% 9.9% 7.5% 1.0% 14.3% 4.8% 5.3% 7.2%

Asset

Alloc.

Asset

Alloc.

Barclays

Agg

Asset

Alloc.

EMD

LCL.Corp. Corp. Corp. Corp. MBS Treas. Corp. Corp. Treas.

EMD

LCL.MBS Corp. Corp.

3.1% 5.8% 7.0% -1.9% 22.0% 9.0% 8.1% 9.8% -1.5% 6.1% 0.8% 6.1% 6.4% 0.9% 13.5% 3.6% 5.2% 5.5%

TIPS MBS MBS TIPS Corp.Asset

Alloc.

Barclays

Agg

Asset

Alloc.

Asset

Alloc.

Barclays

Agg

Barclays

Agg

Asset

Alloc.Muni

Barclays

Agg

Asset

Alloc.Corp.

Asset

Alloc.TIPS

2.8% 5.2% 6.9% -2.4% 18.7% 7.6% 7.8% 7.6% -1.7% 6.0% 0.5% 4.8% 5.4% 0.0% 9.8% 3.0% 4.9% 4.8%

Treas. MuniAsset

Alloc.Muni

Asset

Alloc.

Barclays

Agg

Asset

Alloc.TIPS

Barclays

Agg

Asset

Alloc.ABS TIPS

Asset

Alloc.

Asset

Alloc.

Barclays

Agg

Asset

Alloc.Muni Treas.

2.8% 4.8% 6.2% -2.5% 16.5% 6.5% 7.7% 7.0% -2.0% 5.4% 0.2% 4.7% 5.3% -0.6% 8.7% 1.9% 4.3% 4.6%

High

YieldABS

EMD

USDCorp. Muni TIPS

EMD

USDMuni Muni Treas.

Asset

Alloc.

Barclays

Agg

Barclays

AggTIPS TIPS Muni

Barclays

AggABS

2.7% 4.7% 6.2% -4.9% 12.9% 6.3% 7.3% 6.8% -2.6% 5.1% -0.4% 2.6% 3.5% -1.3% 8.4% 1.2% 4.1% 4.1%

MBSBarclays

AggCorp.

EMD

LCL.TIPS Treas. MBS

Barclays

AggTreas. TIPS Corp. ABS TIPS

High

YieldMuni ABS MBS Muni

2.6% 4.3% 4.6% -5.2% 11.4% 5.9% 6.2% 4.2% -2.7% 3.6% -0.7% 2.0% 3.0% -2.1% 7.5% -0.7% 4.0% 3.8%

Barclays

AggCorp. Muni

EMD

USD

Barclays

AggABS ABS ABS

EMD

USD

High

YieldTIPS MBS ABS Corp. Treas.

High

YieldTIPS

Asset

Alloc.

2.4% 4.3% 3.4% -12.0% 5.9% 5.9% 5.1% 3.7% -5.3% 2.5% -1.4% 1.7% 3.0% -2.5% 6.9% -4.7% 3.8% 3.6%

ABS Treas. ABS ABS MBS MBSHigh

YieldMBS TIPS ABS

High

YieldTreas. MBS

EMD

USDMBS

EMD

USDTreas.

Barclays

Agg

2.1% 3.1% 2.2% -12.7% 5.9% 5.4% 5.0% 2.6% -8.6% 1.7% -4.5% 1.0% 2.5% -4.3% 6.4% -6.1% 3.7% 3.3%

Corp. TIPSHigh

Yield

High

YieldTreas. Muni

EMD

LCL.Treas.

EMD

LCL.

EMD

LCL.

EMD

LCL.Muni Treas.

EMD

LCL.ABS

EMD

LCL.ABS MBS

1.7% 0.4% 1.9% -26.2% -3.6% 2.4% -1.8% 2.0% -9.0% -5.7% -14.9% 0.2% 2.3% -6.2% 3.8% -7.3% 2.9% 2.5%

2005-2019

Page 44: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

44

Source: FactSet, Federal Reserve, MSCI, Standard & Poor’s, J.P. Morgan Asset Management.All return values are MSCI Gross Index (official) data. 15-year history based on U.S. dollar returns. 15-year return and beta figures are calculated for the time period 12/31/04-12/31/19. Beta is for monthly returns relative to the MSCI AC World Index. Annualized volatility is calculated as the standard deviation of quarterly returns multiplied by the square root of 4. Chart is for illustrative purposes only. Please see disclosure page for index definitions. Past performance is not a reliable indicator of current and future results. Sector breakdown includes the following aggregates: Technology (communication services and technology), consumer (consumer discretionary and staples) and commodities (energy and materials). The graph excludes the utilities and real estate sectors for illustrative purposes.Guide to the Markets – U.S. Data are as of May 31, 2020.

Returns

Local USD Local USD Ann. Beta

Regions

U.S. (S&P 500) - -5.0 - 31.5 9.0 0.87

AC World ex-U.S. -12.1 -14.7 21.4 22.1 5.7 1.10

EAFE -12.6 -14.0 22.3 22.7 5.3 1.06

Europe ex-UK -12.3 -12.9 27.5 25.9 5.9 1.20

Emerging markets -11.3 -15.9 18.5 18.9 7.8 1.26

Selected Countries

United Kingdom -18.9 -24.3 16.5 21.1 4.2 1.01

France -19.7 -20.4 29.3 27.0 5.9 1.22

Germany -11.8 -12.6 23.9 21.7 6.4 1.32

Japan -7.7 -6.9 18.9 20.1 4.3 0.75

China -5.0 -5.0 23.3 23.7 11.3 1.26

India -17.6 -22.2 10.0 7.6 9.2 1.31

Brazil -23.1 -43.0 31.5 26.7 9.5 1.47

Russia -13.2 -22.8 38.8 52.7 7.4 1.53

2020 YTD 2019 15-years

Weights in MSCI All Country World Index% global market capitalization, float adjusted

Europe ex-UK13%

Japan 7%

Pacific 3%

Canada 3%United States

58%

Emerging markets

11%

Global equities by sector% of index market capitalization

5.0%

3.6%

5.34%

2.5%

1.6%

0.4%

1.2%

0.11%

0.1%0.5%

0.3%0.9%

0.1%

0.2%

0.6% 0.4%

0.9%

0.3%

0.05% 0.2%

0.2%

0.2%

6.3% 6.3%

3.7%

2.7%

0%

1%

2%

3%

4%

5%

6%

7%

MSCI Europe S&P 500 MSCI EMLATAM

MSCI Japan MSCI EM Asia

Retail

Airlines

Hotels & leisure

Restaurants

Entertainment

Page 45: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

45

Source: FactSet, MSCI, Standard & Poor’s, J.P. Morgan Asset Management.All return values are MSCI Gross Index (official) data, except the U.S., which is the S&P 500. *Multiple expansion is based on the forward P/E ratio, and EPS growth outlook is based on NTMA earnings estimates. Chart is for illustrative purposes only. Past performance is not indicative of future results. Guide to the Markets – U.S. Data are as of May 31, 2020.

Sources of global equity returns*Total return, USD

9.0%7.8%

5.9%4.3%

31.5%

25.9%

20.1%18.9%

-5.0%-6.9%

-12.9%-15.9%

-40%

-30%

-20%

-10%

0%

10%

20%

30%

40%

U.S. EM Europe

ex-UK

Japan U.S. Europe

ex-UK

Japan EM U.S. Japan Europe

ex-UK

EM

Currency

Multiples

Dividends

Earnings

Total return

20192005-2019 annualized 2020 YTD

Page 46: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

46

Source: FactSet, J.P. Morgan Asset Management; (Left) Federal Reserve, ICE; (Right) MSCI.Currencies in the U.S. Dollar Index are: British pound, Canadian dollar, euro, Japanese yen, Swedish krona and Swiss franc. Data for the U.S. Dollar Index are back-tested and filled in from March 9, 1973 and January 17, 1986 using the Federal Reserve’s nominal trade-weighted broad currency index. Past performance is not a reliable indicator of current and future results.Guide to the Markets – U.S. Data are as of May 31, 2020.

U.S. dollar in historical perspective Currency impact on international returnsIndex level, U.S. dollar index MSCI All Country World ex-U.S. Index, total return

41.4%

21.4%

17.1% 27.2%

17.1%

-45.2%

42.1%

11.6%

-13.3%

17.4%15.8%

-3.4%-5.3%

5.0%

27.8%

-13.8%

22.1%

-14.7%

-60%

-40%

-20%

0%

20%

40%

60%

'03 '05 '07 '09 '11 '13 '15 '17 '19

60

70

80

90

100

110

120

130

140

150

160

'73 '78 '83 '88 '93 '98 '03 '08 '13 '18

6 years: +66%

9 years: +54%

9 years: +45%

6 years: -9%

7.5 years: -48%

7 years: -41%

Dollar strengthening, hurts international returns

Dollar weakening, helps international returns

U.S. dollar return

Currency return

Local currency return

Page 47: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

47

Source: FactSet, MSCI, Standard & Poor’s, J.P. Morgan Asset Management.Trailing price to earnings ratio is a bottom-up calculation based on the most recent index price, divided by consensus estimates for earnings in the last 12 months (LTM), and is provided by FactSet Market Aggregates. Returns are cumulative and based on price movement only, and do not include the reinvestment of dividends. Dividend yield is calculated as consensus estimates of dividends for the next 12 months, divided by most recent price, as provided by FactSet Market Aggregates. Past performance is not a reliable indicator of current and future results.Guide to the Markets – U.S. Data are as of May 31, 2020.

MSCI All Country World ex-U.S. and S&P 500 IndicesDec. 1996 = 100, U.S. dollar, price return

Trailing P/E 20-yr. avg. Div. Yield 20-yr. avg.

S&P 500 21.4x 18.8x 2.0% 2.1%

ACWI ex-U.S. 15.8x 17.3x 3.2% 3.1%

As % of U.S. 74% 92% 160% 152%

50

100

150

200

250

300

350

400

450

500

'97 '98 '99 '00 '01 '02 '03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20

+106% -49%+101 -57%

+401%

+143%-62%

+216-52%+48%

May 31, 2020 P/E (trail.) = 21.4x

May 31, 2020 P/E (trail.) = 15.8x

-10%

-22%

Page 48: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

48

Source: FactSet, MSCI, Standard & Poor’s, Thomson Reuters, J.P. Morgan Asset Management. *Valuations refer to NTMA P/E for Europe, U.S., Japan and developed markets and P/B for emerging markets. Valuation and earnings charts use MSCI indices for all regions/countries, except for the U.S., which is the S&P 500. All indices use IBES aggregate earnings estimates, which may differ from earnings estimates used elsewhere in the book. MSCI Europe includes the eurozone as well as countries not in the currency bloc, such as Norway, Sweden, Switzerland and the UK (which collectively make up 47% of the overall index). Past performance is not a reliable indicator of current and future results.Guide to the Markets – U.S. Data are as of May 31, 2020.

Global earnings Global valuations EPS, local currency, next 12 months, Jan. 2006 = 100 Current and 25-year historical valuations*

20

40

60

80

100

120

140

160

180

200

220

'06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20

Japan

Europe

U.S.

EM

16.37x 16.09x

14.58x

21.20x

21.66x

19.36x

16.68x

15.04x

1.78x

1.50x

0.0x

0.4x

0.8x

1.2x

1.6x

2.0x

2.4x

2.8x

3.2x

3.6x

4.0x

4.4x

4.8x

5.2x

5x

9x

13x

17x

21x

25x

29x

33x

U.S. DM Europe Japan EM

49x

Axis

Pri

ce

-to

-ea

rnin

gs

Pric

e-to

-bo

ok

Current

25-year range

25-year average

Page 49: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

49

Source: J.P. Morgan Asset Management; (Left) Markit; (Right) J.P. Morgan Global Economic Research.PMI is the Purchasing Managers’ Index. Global GDP growth is a GDP-weighted measure of real GDP at U.S. dollar market exchange rates. *2019 is an average of the four quarters and 4Q is a forecast, and 1Q20 is a forecast. Guide to the Markets – U.S. Data are as of May 31, 2020.

Global PMI for manufacturing and services Global real GDP growthMonthly % change, year-over-year

Apr. 2020: 24.0

Apr. 2020: 39.8

20

25

30

35

40

45

50

55

60

65

'04 '06 '08 '10 '12 '14 '16 '18 '20

Services

Manufacturing

3.9%3.6%

4.1%4.0%

1.7%

-2.0%

4.5%

3.3%

2.6%

2.7%3.0%

3.2%

2.8%

3.5%3.3%

2.5%

-1.7%

-3%

-2%

-1%

0%

1%

2%

3%

4%

5%

'04 '06 '08 '10 '12 '14 '16 '18 '1Q20*

Average: 2.9%

Page 50: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

50

Source: Johns Hopkins CSSE, UN, J.P. Morgan Asset Management. Data are as of May 31, 2020.

Crude mortality rate, growth in cumulative confirmed cases and % of population infected

U.S.Germany

France

Italy

Spain

United Kingdom

Canada

Taiwan

China

India

Brazil

Russia

Mexico

South Korea

South AfricaTurkey

Japan

0.10%

Indonesia

0.01%

0.30%

World

Sweden

Australia

0%

2%

4%

6%

8%

10%

12%

14%

16%

18%

-5% 5% 15% 25% 35% 45% 55%

CO

VID

19

cru

de

m

ort

ality

ra

te

COVID19 cases, weekly % change

Bubble size = % population infected

Developed markets

Emerging markets

Page 51: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

51

Source: Markit, J.P. Morgan Asset Management.Heatmap colors are based on PMI relative to the 50 level, which indicates acceleration or deceleration of the sector, for the time period shown. Heatmap is based on quarterly averages, with the exception of the two most recent figures, which are single month readings. Data for the U.S. are back-tested and filled in from December 2007 to September 2008 due to lack of existing PMI figures. DM and EM represent developed markets and emerging markets, respectively. Past performance is not a reliable indicator of current and future results.Guide to the Markets – U.S. Data are as of May 31, 2020.

Global Purchasing Managers’ Index for services, quarterly

Apr May

Global 24.0 -

DM 20.9 -

EM 31.5 -

U.S. 26.7 36.9

Japan 21.5 25.3

UK 13.4 27.8

Euro Area 12.0 28.7

Germany 16.2 31.4

France 10.2 29.4

Italy 10.8 -

Spain 7.1 -

China 44.4 -

India 5.4 -

Brazil 27.4 -

Mexico 35.5 -

Russia 12.2 -

2019 '20

Em

erg

ing

De

ve

lop

ed

20202008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018

Page 52: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

52

Source: Bank of Mexico, DGBAS, Eurostat, FactSet, Federal Reserve, Goskomstat of Russia, IBGE, India Ministry of Statistics & ProgrammeImplementation, Japan Ministry of Internal Affairs & Communications, Korean National Statistical Office, Melbourne Institute, National Bureau of Statistics China, Statistics Canada, Statistics Indonesia, UK Office for National Statistics (ONS), J.P. Morgan Asset Management.Heatmap is based on quarterly averages, with the exception of the two most recent figures, which are single month readings. Colors determined by percentiles of inflation values over the last 10 years. Deep blue = lowest value, light blue = median, deep red = highest value. DM and EM represent developed markets and emerging markets, respectively.Guide to the Markets – U.S. Data are as of May 31, 2020.

Year-over-year headline inflation by country and region, quarterly

Mar Apr

Global 2.2% -

DM 1.1% -

EM 3.9% -

U.S. 1.5% 0.3%

Canada 0.9% -0.2%

Japan 0.4% 0.1%

UK 1.5% 0.8%

Euro Area 0.7% 0.3%

Germany 1.3% 0.8%

France 0.8% 0.4%

Italy 0.1% 0.1%

Spain 0.1% -0.7%

Greece 0.2% -0.9%

China 4.3% 3.3%

Indonesia 2.9% 2.6%

Korea 1.0% 0.1%

Taiwan 0.0% -0.8%

India 5.9% -

Brazil 3.3% 2.4%

Mexico 3.2% 2.1%

Russia 2.5% 3.1%

'202020

De

ve

lop

ed

Em

erg

ing

2008 2009 2010 2011 2012 2013 2014 2015 20172016 2018 2019

Page 53: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

53

Source: ECB, FactSet, J.P. Morgan Asset Management; (Left and top right) Eurostat.Eurozone shown is the aggregate of the 19 countries that currently use the euro.Guide to the Markets – U.S. Data are as of May 31, 2020.

Eurozone GDP growth Eurozone unemployment and wage growthContribution to eurozone real GDP growth, % change year-over-year Seasonally adjusted, year-over-year compensation growth

Eurozone credit demandNet % of banks reporting positive loan demand

Mar. 2020: 7.4%

4Q19: 1.7%

0%

1%

2%

3%

4%

5%

6%

7%

8%

9%

10%

11%

12%

13%

'99 '01 '03 '05 '07 '09 '11 '13 '15 '17 '19

-8%

-6%

-4%

-2%

0%

2%

4%

'07 '09 '11 '13 '15 '17 '19

Unemployment Wage growth

Domestic demand

Real GDP

Net exports

-200%

-150%

-100%

-50%

0%

50%

100%

150%

'07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20

Stronger loan demand

Weaker loan demand

Page 54: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

54

Source: FactSet, J.P. Morgan Asset Management; (Top left) Japanese Cabinet Office; (Bottom left) Ministry of Health, Labor and Welfare Japan; (Right) Nikkei. Past performance is not a reliable indicator of current and future results.Guide to the Markets – U.S. Data are as of May 31, 2020.

Japanese economic growth Japanese yen and the stock marketReal GDP, y/y % change

Japanese labor marketUnemployment, y/y % change in wages, 3-month moving average

1Q20: -2.0%

20-yr. average: 0.8%

-10%

-8%

-6%

-4%

-2%

0%

2%

4%

6%

8%

'00 '02 '04 '06 '08 '10 '12 '14 '16 '18

Apr. 2020: 2.6%

Mar. 2020: 0.7%

-6%

-4%

-2%

0%

2%

4%

6%

8%

'99 '01 '03 '05 '07 '09 '11 '13 '15 '17 '19

Wage growth

Unemployment rate

6,000

8,000

10,000

12,000

14,000

16,000

18,000

20,000

22,000

24,000

26,000

¥70

¥80

¥90

¥100

¥110

¥120

¥130

'07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20

Japanese ¥ per U.S. $ Nikkei 225 Index

Page 55: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

55

Source: FactSet, J.P. Morgan Asset Management; (Left) CEIC; (Top right) People’s Bank of China; (Bottom right) China Agriculture DevelopmentBank, China Development Bank, Ministry of Finance, People’s Bank of China, Wind. **The fiscal deficit is a J.P. Morgan Asset Management estimate of the augmented fiscal deficit. It measures the aggregate resources controlled by the government and used to support economic growth. It consists of the official budgetary deficit of the central and local governments, and additional funding raised and spent by local governments through Local Government Financing Vehicles (LGFVs) and various government-guided funds, whose activities are considered quasi-fiscal.Guide to the Markets – U.S. Data are as of May 31, 2020.

China real GDP contribution Monetary stimulus: Reserve requirement ratio Year-over-year % change

Investment

Consumption

Net exports

Fiscal stimulus: Fiscal deficit**% GDP

0.4%

-4.0% -1.1%-0.6%

0.2%

-0.2% -0.1%

0.5%

-0.9%

0.3%-0.5%

0.7%

-1.0%

4.2% 5.4% 5.0%

6.3%

4.4%3.9% 4.2%

4.9%

4.6% 4.0% 4.4% 3.5%

-4.4%

5.1%

8.0%

6.7% 3.9%

3.3%4.1% 3.3%

1.6% 3.1%2.6% 2.8%

1.9%

-1.5%

9.7%

9.4%

10.6%

9.6%

7.9% 7.8%7.4%

7.0%

6.8%

6.9%6.7%

6.1%

-6.8%-8%

-4%

0%

4%

8%

12%

16%

'08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 1Q20

10%

13%

16%

19%

22%

25%

'09 '11 '13 '15 '17 '19

Large banks Small and medium banks

-16%

-14%

-12%

-10%

-8%

-6%

-4%

-2%

0%

'10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20F

Page 56: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

56

Source: J.P. Morgan Asset Management; (Left) Consensus Economics; (Right) Brookings Institute. “Growth differential” is consensus estimates for EM growth in the next 12 months minus consensus estimates for DM growth in the next 12 months, provided by Consensus Economics. Middle class is defined as $3,600-$36,000 annual per capita income in purchasing power parity terms. Historical and forecast figures come from the Brookings Development, Aid and Governance Indicators. Guide to the Markets – U.S. Data are as of May 31, 2020.

EM vs. DM growth Growth of the middle classMonthly, consensus expectations for GDP growth in 12 months Percent of total population

DM growth

EM growth

Growth differential

-3%

-2%

-1%

0%

1%

2%

3%

4%

5%

6%

7%

'97 '99 '01 '03 '05 '07 '09 '11 '13 '15 '17 '19

1%

4%

0%

30%

40%

14%

27%

34%

53%

71%

79%

41%

72%

61%

79%

0%

20%

40%

60%

80%

100%

India Indonesia China Brazil Mexico

1995 2018F 2030F

Page 57: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

57

Source: Barclays Inc., Bloomberg, Cambridge Associates, Credit Suisse/Tremont, FactSet, Federal Reserve, MSCI, Standard & Poor’s, J.P. Morgan Asset Management. Indices used – Large Cap: S&P 500 Index; Currencies: Federal Reserve Trade Weighted Dollar; EAFE: MSCI EAFE; EME: MSCI Emerging Markets; Bonds: Bloomberg Barclays Aggregate; Corp HY: Bloomberg Barclays Corporate High Yield; EMD: Bloomberg Barclays Emerging Market; Cmdty.: Bloomberg Commodity Index; REIT: NAREIT All equity Index; Hedge Funds: CS/Tremont Hedge Fund Index; Private equity: Cambridge Associates Global Buyout & Growth Index; Gold: Gold continuous contract ($/oz). Private equity data are reported on a one- to two-quarter lag. All correlation coefficients and annualized volatility are calculated based on quarterly total return data for period 3/31/10 to 3/31/20, except for Private equity, which is based on the period from 9/30/09 to 9/30/19. This chart is for illustrative purposes only.Guide to the Markets – U.S. Data are as of May 31, 2020.

U.S.

Large

Cap EAFE EME Bonds

Corp.

HY Munis Currcy. EMD Cmdty. REITs

Hedge

funds

Private

equity Gold

Ann.

Volatility

U.S. Large Cap 1.00 0.88 0.78 -0.34 0.82 -0.12 -0.34 0.56 0.63 0.74 0.82 0.76 -0.12 15%

EAFE 1.00 0.90 -0.31 0.83 -0.09 -0.51 0.66 0.63 0.60 0.83 0.85 0.03 16%

EME 1.00 -0.20 0.80 -0.02 -0.63 0.76 0.66 0.53 0.73 0.75 0.25 18%

Bonds 1.00 -0.10 0.82 0.00 0.27 -0.21 0.05 -0.30 -0.34 0.60 3%

Corp. HY 1.00 0.09 -0.41 0.81 0.75 0.73 0.68 0.63 0.10 8%

Munis 1.00 -0.04 0.49 -0.13 0.27 -0.27 -0.33 0.43 4%

Currencies 1.00 -0.50 -0.52 -0.13 -0.26 -0.57 -0.47 7%

EMD 1.00 0.56 0.60 0.41 0.33 0.42 7%

Commodities 1.00 0.45 0.58 0.59 0.31 16%

REITs 1.00 0.49 0.38 0.00 16%

Hedge funds 1.00 0.78 -0.03 5%`

Private equity 1.00 0.04 6%

Gold 1.00 15%

Copy info from matrix on tab # 3 and past special as values in D3.

Page 58: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

58

Source: Barclays, Bloomberg, FactSet, Hedge Fund Research Indices (HFRI), Standard & Poor’s, J.P. Morgan Asset Management. HFRI Macro Index - Investment managers that trade a broad range of strategies in which the investment process is predicated on movements in underlying economic variables and the impact these have on equity, fixed income, hard currency and commodity markets. Managers employ a variety of techniques, both discretionary and systematic analysis, combinations of top down and bottom up theses, quantitative and fundamental approaches and long- and short-term holding periods.Guide to the Markets – U.S. Data are as of May 31, 2020.

Macro hedge fund relative performance & volatility Hedge fund returns in different market environments

VIX index level, y/y change in rel. perf. of HFRI Macro index Average return in up and down months for S&P 500

VIX

HFRI FW Comp.

S&P 500

Hedge fund returns in different market environments Average return in up and down months for Bloomberg Barclays Agg.

HFRI FW Comp.

Macro hedge fund relative performance to HFRI Bloomberg Barclays U.S. Agg.

1.2%

-1.4%

2.9%

-4.0%

-6%

-4%

-2%

0%

2%

4%

S&P 500 up S&P 500 down

0.6%

0.0%

0.9%

-0.6%

-1.0%

-0.5%

0.0%

0.5%

1.0%

Bloomberg Barclays Agg up Bloomberg Barclays Agg down

-20%

-15%

-10%

-5%

0%

5%

10%

15%

20%

25%

30%

35%

0

10

20

30

40

50

60

70

'95 '97 '99 '01 '03 '05 '07 '09 '11 '13 '15 '17 '19

Page 59: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

59

Sources: Cambridge Associates, Prequin, Standard & Poor’s, World Federation of Exchanges, J.P. Morgan Asset Management.*Global Buyout & Growth Equity and MSCI AC World total return data are as of September 30, 2019. **Number of listed U.S. companies is represented by the sum of number of companies listed on the NYSE and the NASDAQ.Guide to the Markets – U.S. Data are as of May 31, 2020.

Public vs. private equity returns Number of U.S. listed companies** MSCI AC World total return and Global Buyout & Growth Equity Index*

MSCI ACWI

Buyout & Growth Equity Index

U.S. private equity dry powder Trillions USD

7.2%

8.9%

7.6%

5.4%

12.8%

14.5%

13.6%

12.2%

0%

2%

4%

6%

8%

10%

12%

14%

16%

18%

5 years 10 years 15 years 20 years$0.5

$0.6

$0.7

$0.8

$0.9

$1.0

$1.1

$1.2

$1.3

'08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19

3,500

4,500

5,500

6,500

7,500

8,500

'91 '94 '97 '00 '03 '06 '09 '12 '15 '18

2019:5,524

Page 60: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

60

Source: FactSet, Standard & Poor’s, J.P. Morgan Asset Management; (Top) Ibbotson; (Bottom) Alerian, BAML, Barclays, Bloomberg, Clarkson, Drewry Maritime Consultants, Federal Reserve, FTSE, J.P. Morgan, MSCI, NCREIF. Dividend vs. capital appreciation returns are through 12/31/19. Yields are most current, except Global Transport, U.S. Real Estate (12/31/19) and Global Infrastructure (9/30/19). Global Transport: Levered yields for transport assets are calculated as the difference between charter rates (rental income), operating expenses, debt amortization and interest expenses, as a percentage of equity value. Yields for each of the sub-vessel types above are calculated and respective weightings are applied to each of the sub-sectors to arrive at the current levered yields for Global Transportation; MLPs: Alerian MLP ETF; Preferreds: BAML Hybrid Preferred Securities; U.S. High Yield: Bloomberg US Corporate High Yield; Global Infrastructure: MSCI Global Infrastructure Asset Index-Low risk; Global REITs: FTSE NAREIT Global REITs; EMD($): J.P. Morgan EMBIG Diversified; Convertibles: Bloomberg Barclays U.S. Convertibles Composite; International Equity: MSCI AC World ex-U.S.; U.S. 10-year: Tullett Prebon; U.S. Equity: MSCI USA. Guide to the Markets – U.S. Data are as of May 31, 2020.

S&P 500 total return: Dividends vs. capital appreciation Average annualized returns

Asset class yields

5.1% 3.3% 4.2% 4.4% 2.5% 1.8% 2.7% 3.4%

13.6%

4.4% 1.6%

12.6% 15.3%

-2.7%

14.2%

7.8%

-5%

0%

5%

10%

15%

20%

1950s 1960s 1970s 1980s 1990s 2000s 2010s 1950-2019

14.4%

9.9%

7.0%5.9% 5.5% 5.2% 5.1%

4.3%2.9% 2.8%

1.9%0.7%

0%

2%

4%

6%

8%

10%

12%

14%

16%

MLPs GlobalTransport

U.S. HighYield

EMD ($) Preferreds Global REITs GlobalInfrastructure

U.S. RealEstate

InternationalEquity

Convertibles U.S. Equity U.S. 10-year

Capital appreciation

Dividends

Page 61: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

61

Source: FactSet, J.P. Morgan Asset Management; (Left) Bloomberg, CME; (Top right) BLS, CME; (Bottom right) Bloomberg, BLS.Commodity prices are represented by the appropriate Bloomberg Commodity sub-index. Crude oil shown is WTI. Other commodity prices are represented by futures contracts. Z-scores are calculated using daily prices over the past 10 years.Guide to the Markets – U.S. Data are as of May 31, 2020.

Commodity prices Gold prices Commodity price z-scores USD per ounce

Commodity prices and inflation Year-over-year % change

Headline CPI Bloomberg Commodity Index

Example High level

Current

Low level-60%

-40%

-20%

0%

20%

40%

60%

80%

-6%

-4%

-2%

0%

2%

4%

6%

8%

'00 '02 '04 '06 '08 '10 '12 '14 '16 '18

$0

$500

$1,000

$1,500

$2,000

$2,500

'80 '85 '90 '95 '00 '05 '10 '15 '20

Gold, Inflation adjusted

Gold

May 31, 2020: $1,752

$175.42

$41.63

$6.15

$97.67

$113.93

$211.51

$48.60

$1,892

$59.48

$16.21

$1.55

$34.20

$11.57

$84.23

$11.77

$1,050

$63.54

$19.37

$1.83

$34.75

$35.49

$97.84

$18.50

$1,752

-4 -3 -2 -1 0 1 2 3 4 5

BloombergCommodity Index

Livestock

Natural gas

Agriculture

Crude oil

Industrial metals

Silver

Gold

Page 62: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

62

Source: Barclays, Bloomberg, FactSet, MSCI, NAREIT, Russell, Standard & Poor’s, J.P. Morgan Asset Management. Large cap: S&P 500, Small cap: Russell 2000, EM Equity: MSCI EME, DM Equity: MSCI EAFE, Comdty: Bloomberg Commodity Index, High Yield: Bloomberg Barclays Global HY Index, Fixed Income: Bloomberg Barclays US Aggregate, REITs: NAREIT Equity REIT Index, Cash: Bloomberg Barclays 1-3m Treasury. The “Asset Allocation” portfolio assumes the following weights: 25% in the S&P 500, 10% in the Russell 2000, 15% in the MSCI EAFE, 5% in the MSCI EME, 25% in the Bloomberg Barclays US Aggregate, 5% in the Bloomberg Barclays 1-3m Treasury, 5% in theBloomberg Barclays Global High Yield Index, 5% in the Bloomberg Commodity Index and 5% in the NAREIT Equity REIT Index. Balanced portfolio assumes annual rebalancing. Annualized (Ann.) return and volatility (Vol.) represents period of 12/31/04 – 12/31/19. Please see disclosure page at end for index definitions. All data represents total return for stated period. The “Asset Allocation” portfolio is for illustrative purposes only. Past performance is not indicative of future returns. Guide to the Markets – U.S. Data are as of May 31, 2020.

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 YTD Ann. Vol.

EM

EquityREITs

EM

Equity

Fixe d

Inc ome

EM

EquityREITs REITs REITs

Sma ll

Ca pREITs REITs

Sma ll

Ca p

EM

EquityCa sh

La rge

Ca p

Fixe d

Inc ome

La rge

Ca pREITs

3 4 .5 % 3 5 .1% 3 9 .8 % 5 .2 % 7 9 .0 % 2 7 .9 % 8 .3 % 19 .7 % 3 8 .8 % 2 8 .0 % 2 .8 % 2 1.3 % 3 7 .8 % 1.8 % 3 1.5 % 5 .5 % 9 .0 % 2 2 .2 %

Comdty.EM

EquityComdty. Ca sh

High

Y ie ld

Sma ll

Ca p

Fixe d

Inc ome

High

Y ie ld

La rge

Ca p

La rge

Ca p

La rge

Ca p

High

Y ie ld

DM

Equity

Fixe d

Inc omeREITs Ca sh REITs

EM

Equity

2 1.4 % 3 2 .6 % 16 .2 % 1.8 % 5 9 .4 % 2 6 .9 % 7 .8 % 19 .6 % 3 2 .4 % 13 .7 % 1.4 % 14 .3 % 2 5 .6 % 0 .0 % 2 8 .7 % 0 .5 % 8 .3 % 2 2 .1%

DM

Equity

DM

Equity

DM

Equity

Asse t

Alloc .

DM

Equity

EM

Equity

High

Y ie ld

EM

Equity

DM

Equity

Fixe d

Inc ome

Fixe d

Inc ome

La rge

Ca p

La rge

Ca pREITs

Sma ll

Ca p

La rge

Ca p

Sma ll

Ca pComdty.

14 .0 % 2 6 .9 % 11.6 % - 2 5 .4 % 3 2 .5 % 19 .2 % 3 .1% 18 .6 % 2 3 .3 % 6 .0 % 0 .5 % 12 .0 % 2 1.8 % - 4 .0 % 2 5 .5 % - 5 .0 % 7 .9 % 18 .6 %

REITsSma ll

Ca p

Asse t

Alloc .

High

Y ie ldREITs Comdty.

La rge

Ca p

DM

Equity

Asse t

Alloc .

Asse t

Alloc .Ca sh Comdty.

Sma ll

Ca p

High

Y ie ld

DM

Equity

Asse t

Alloc .

EM

Equity

Sma ll

Ca p

12 .2 % 18 .4 % 7 .1% - 2 6 .9 % 2 8 .0 % 16 .8 % 2 .1% 17 .9 % 14 .9 % 5 .2 % 0 .0 % 11.8 % 14 .6 % - 4 .1% 2 2 .7 % - 6 .5 % 7 .8 % 17 .7 %

Asse t

Alloc .

La rge

Ca p

Fixe d

Inc ome

Sma ll

Ca p

Sma ll

Ca p

La rge

Ca pCa sh

Sma ll

Ca p

High

Y ie ld

Sma ll

Ca p

DM

Equity

EM

Equity

Asse t

Alloc .

La rge

Ca p

Asse t

Alloc .

High

Y ie ld

High

Y ie ld

DM

Equity

8 .1% 15 .8 % 7 .0 % - 3 3 .8 % 2 7 .2 % 15 .1% 0 .1% 16 .3 % 7 .3 % 4 .9 % - 0 .4 % 11.6 % 14 .6 % - 4 .4 % 19 .5 % - 6 .8 % 7 .2 % 17 .3 %

La rge

Ca p

Asse t

Alloc .

La rge

Ca pComdty.

La rge

Ca p

High

Y ie ld

Asse t

Alloc .

La rge

Ca pREITs Ca sh

Asse t

Alloc .REITs

High

Y ie ld

Asse t

Alloc .

EM

Equity

DM

Equity

Asse t

Alloc .

La rge

Ca p

4 .9 % 15 .3 % 5 .5 % - 3 5 .6 % 2 6 .5 % 14 .8 % - 0 .7 % 16 .0 % 2 .9 % 0 .0 % - 2 .0 % 8 .6 % 10 .4 % - 5 .8 % 18 .9 % - 14 .0 % 6 .6 % 14 .0 %

Sma ll

Ca p

High

Y ie ldCa sh

La rge

Ca p

Asse t

Alloc .

Asse t

Alloc .

Sma ll

Ca p

Asse t

Alloc .Ca sh

High

Y ie ld

High

Y ie ld

Asse t

Alloc .REITs

Sma ll

Ca p

High

Y ie ldREITs

DM

Equity

High

Y ie ld

4 .6 % 13 .7 % 4 .8 % - 3 7 .0 % 2 5 .0 % 13 .3 % - 4 .2 % 12 .2 % 0 .0 % 0 .0 % - 2 .7 % 8 .3 % 8 .7 % - 11.0 % 12 .6 % - 15 .3 % 5 .3 % 10 .9 %

High

Y ie ldCa sh

High

Y ie ldREITs Comdty.

DM

Equity

DM

Equity

Fixe d

Inc ome

Fixe d

Inc ome

EM

Equity

Sma ll

Ca p

Fixe d

Inc ome

Fixe d

Inc omeComdty.

Fixe d

Inc ome

EM

Equity

Fixe d

Inc ome

Asse t

Alloc .

3 .6 % 4 .8 % 3 .2 % - 3 7 .7 % 18 .9 % 8 .2 % - 11.7 % 4 .2 % - 2 .0 % - 1.8 % - 4 .4 % 2 .6 % 3 .5 % - 11.2 % 8 .7 % - 15 .9 % 4 .1% 10 .0 %

Ca shFixe d

Inc ome

Sma ll

Ca p

DM

Equity

Fixe d

Inc ome

Fixe d

Inc omeComdty. Ca sh

EM

Equity

DM

Equity

EM

Equity

DM

EquityComdty.

DM

EquityComdty.

Sma ll

Ca pCa sh

Fixe d

Inc ome

3 .0 % 4 .3 % - 1.6 % - 4 3 .1% 5 .9 % 6 .5 % - 13 .3 % 0 .1% - 2 .3 % - 4 .5 % - 14 .6 % 1.5 % 1.7 % - 13 .4 % 7 .7 % - 15 .9 % 1.3 % 3 .4 %

Fixe d

Inc omeComdty. REITs

EM

EquityCa sh Ca sh

EM

EquityComdty. Comdty. Comdty. Comdty. Ca sh Ca sh

EM

EquityCa sh Comdty. Comdty. Ca sh

2 .4 % 2 .1% - 15 .7 % - 5 3 .2 % 0 .1% 0 .1% - 18 .2 % - 1.1% - 9 .5 % - 17 .0 % - 2 4 .7 % 0 .3 % 0 .8 % - 14 .2 % 2 .2 % - 2 1.2 % - 2 .6 % 1.0 %

2005 - 2019

Page 63: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

63

Source: Strategic Insight Simfund, J.P. Morgan Asset Management. All data include flows through April 2020 and capture all registered product flows (open-end mutual funds and ETFs). Simfund data are subject to periodic revisions. World equity flows are inclusive of emerging market, global equity and regional equity flows. Multi-asset flows include asset allocation, balanced fund, flexible portfolio and mixed income flows.Guide to the Markets – U.S. Data are as of May 31, 2020.

USD billions AUM YTD 2019 2018 2017 2016 2015 2014 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003

U.S. equity 8,343 (24) (86) 0 28 (9) (13) 104 (33) (32) 26 21 (2) 17 70 110 172 142

World equity 3,101 (4) 10 87 247 15 212 144 62 22 85 55 (35) 183 167 133 88 40

Taxable bond 4,196 (113) 413 121 390 215 45 74 299 169 226 309 61 106 53 46 28 44

Tax-free bond 803 (23) 105 11 34 31 21 33 52 (8) 14 71 12 14 17 8 (6) (3)

Multi-asset 2,517 (38) 20 (10) 60 30 57 92 50 30 62 40 15 97 77 81 82 50

Liquidity 4,564 1,061 578 241 118 149 50 45 (5) (55) (336) (231) 645 487 165 67 (34) (92)

Cumulative flows into long-term asset products Flows into U.S. equity funds & S&P 500 performanceMutual fund and ETF flows, quarterly, USD billions Mutual fund and ETF flows, price index, quarterly, USD billions

(54)

93

33

Registered product flows

2013

174

201

20

600

900

1,200

1,500

1,800

2,100

2,400

2,700

3,000

3,300

-$60

-$40

-$20

$0

$20

$40

$60

$80

'99 '01 '03 '05 '07 '09 '11 '13 '15 '17 '190

400

800

1,200

1,600

2,000

2,400

2,800

'07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20

Stocks: $1,467bn in cumulative flows since

2007

Bonds: $2,611bn in cumulative flows since 2007

Multi-asset: $602bn in cumulative flows since 2007

S&P 500Flows

Page 64: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

64

Source: Barclays, Bloomberg, FactSet, Federal Reserve, Robert Shiller, Strategas/Ibbotson, J.P. Morgan Asset Management.Returns shown are based on calendar year returns from 1950 to 2019. Stocks represent the S&P 500 Shiller Composite and Bonds represent Strategas/Ibbotson for periods from 1950 to 2010 and Bloomberg Barclays Aggregate thereafter. Growth of $100,000 is based on annual average total returns from 1950 to 2019.Guide to the Markets – U.S. Data are as of May 31, 2020.

Range of stock, bond and blended total returnsAnnual total returns, 1950-2019

Annual avg.

total return

Growth of $100,000

over 20 years

Stocks 11.3% $844,684

Bonds 5.9% $313,758

50/50 portfolio 8.9% $555,161

-39%

-8%

-15%

-3% -2%

1%

-1% 1% 2%

6%

1%

5%

47%

43%

33%

28%

23% 21%19%

16% 16% 17%

12%14%

-50%

-40%

-30%

-20%

-10%

0%

10%

20%

30%

40%

50%

60%

1-yr. 5-yr.

rolling

10-yr.

rolling

20-yr.

rolling

Page 65: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

65

Source: J.P. Morgan Asset Management; (Top) Barclays, Bloomberg, FactSet, Standard & Poor’s; (Bottom) Dalbar Inc.Indices used are as follows: REITS: NAREIT Equity REIT Index, EAFE: MSCI EAFE, Oil: WTI Index, Bonds: Bloomberg Barclays U.S. Aggregate Index, Homes: median sale price of existing single-family homes, Gold: USD/troy oz., Inflation: CPI. 60/40: A balanced portfolio with 60% invested in S&P 500 Index and 40% invested in high-quality U.S. fixed income, represented by the Bloomberg Barclays U.S. Aggregate Index. The portfolio is rebalanced annually. Average asset allocation investor return is based on an analysis by Dalbar Inc., which utilizes the net of aggregate mutual fund sales, redemptions and exchanges each month as a measure of investor behavior. Returns are annualized (and total return where applicable) and represent the 20-year period ending 12/31/19 to match Dalbar’s most recent analysis. Guide to the Markets – U.S. Data are as of May 31, 2020.

Portfolio returns: Equities vs. equity and fixed income blend

20-year annualized returns by asset class (1999 – 2019)

$30,000

$60,000

$90,000

$120,000

$150,000

$180,000

$210,000

$240,000

$270,000

$300,000

Oct '07 Oct '08 Oct '09 Oct '10 Oct '11 Oct '12 Oct '13 Oct '14 Oct '15 Oct '16 Oct '17 Oct '18 Oct '19

40/60 stocks & bonds

60/40 stocks & bonds

S&P 500

Mar. 2009: S&P 500 portfolio loses over $50,000

Nov. 2009: 40/60

portf olio recov ers

Oct. 2010:60/40 portf olio

recov ers

Mar. 2012: S&P 500

recov ers

Oct. 2007: S&P 500 peak

11.6%

8.6%

6.1% 5.6% 5.4% 5.0%4.2% 3.8% 3.4%

2.5% 2.2%

0%

2%

4%

6%

8%

10%

12%

14%

REITs Gold S&P 500 60/40 40/60 Bonds Oil EAFE Homes AverageInvestor

Inflation

Page 66: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

66

Source: Bloomberg, Barclays, CME, FactSet, Standard & Poor’s, MSCI, J.P. Morgan Global Index Research, J.P. Morgan Asset Management. Indices: S&P 500: S&P 500 Index; DM Equity: MSCI EAFE; EM Equity: MSCI EM; U.S. HY: Bloomberg US High Yield; U.S. IG: Bloomberg US Corporate Investment Grade Index; U.S. Treasuries: Bloomberg US Treasury Index; U.S. Dollar: US Dollar Index (DXY); Gold: Gold (NYM $/oz) continuous contract; Cash: US Treasury 3M Bellwether. All data are total returns and are in USD. *Assumes 2% dividend yield throughout. **Previous four bear markets are the GFC (’08-’09), tech-bubble (’00-’01), 1990 and the flash crash (’87). Drawdowns are measured from market peak to market trough. EM equity returns do not include the 1987 bear market due to data availability. Past performance is not indicative of future returns. Guide to the Markets – U.S. Data are as of May 31, 2020.

Average returns needed to recover to market peak* Average returns around bear marketsS&P 500 Previous four bear markets**

Peak level (2/19/2020) 3,386

Current level (5/31/2020) 3,044

Decline from peak -10%

3%

3%

3%

4%

4%

4%

5%

6%

7%

13%

35%

33%

30%

28%

25%

23%

20%

18%

15%

13%

0% 10% 20% 30% 40%

10 years

9 years

8 years

7 years

6 years

5 years

4 years

3 years

2 years

1 year

Average annual total return required to recover to peak

Cumulative total return required to recover to peak

-60%

-40%

-20%

0%

20%

40%

60%

80%

12-mo. prior Drawdown 12-mo. recovery

S&P 500 DM Equity

EM Equity U.S. TSYs

U.S. IG corps U.S. HY

U.S. Dollar Gold

Cash

Page 67: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

67

Source: Bloomberg, Barclay’s, FactSet, Standard & Poor’s, J. P. Morgan Asset Management.Guide to the Markets – U.S. Data are as of May 31, 2020.

Stock, bond and 60/40 portfolio returns since 12/31/19 60/40 portfolio without rebalancing since 12/31/19S&P 500 and Bloomberg Barclays U.S. Aggregate total return indices S&P 500 and Bloomberg Barclays U.S. Aggregate total return indices

-5.0%

5.5%

-0.8%

-6%

-4%

-2%

0%

2%

4%

6%

Equity Only Bond Only U.S. 60/40

May 31, 2020:57.5%

May 31, 2020:42.5%

30%

35%

40%

45%

50%

55%

60%

65%

Dec. 31Jan. 14Jan. 28Feb. 11Feb. 25Mar. 10Mar. 24Apr. 7Apr. 21May. 5May. 19

Equities

Fixed income

Page 68: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

68

Source: Pew Research Center, J.P. Morgan Asset Management. Pew Research Center, April 2020, “Positive Economic Views Plummet; Support for Government Aid Crosses Party Lines” Question: Thinking about the nation’s economy, How would you rate economic conditions in this country today… as excellent, good, only fair, or poor?Guide to the Markets – U.S. Data are as of May 31, 2020.

Percentage of Republicans and Democrats who rate national economic conditions as excellent or goodPercent

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

'00 '01 '02 '03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 '20

Republican / Lean Republican

Total

Democrat / Lean Democrat

37%

23%

11%

Page 69: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

69

Source: Bankrate.com, FactSet, Federal Reserve System, J.P. Morgan Asset Management, *Savings account is based on the national average annual percentage rate (APR) on money-market accounts from Bankrate.com from 2010 onward. Prior to 2010, money market yield is based on taxable money market funds return data from the Federal Reserve. Investment account return is based on the average yield-to-worst on a 6-month U.S. Treasury over the calendar year. Annual income is for illustrative purposes and is calculated based on the 6-month Treasury yield and money market yield on average during each year and $100,000 invested. Current inflation is based on March 2020 Core CPI, current investment account is based on the April 30, 2020 6-month U.S. Treasury yield and current savings account is based on the April 2020 national average annual percentage rate (APR) on money-market accounts. Past performance is not indicative of comparable future results. Guide to the Markets – U.S. Data are as of May 31, 2020.

Income earned on $100,000 in a savings account vs. a cash investment account*

$0

$1,000

$2,000

$3,000

$4,000

$5,000

$6,000

$7,000

'94 '96 '98 '00 '02 '04 '06 '08 '10 '12 '14 '16 '18 '20

2006: $4,510

Income generated in a savings account

Income needed to beat inflation

2006: $4,983

Income generated in a cash investment account

Current: $110

Current:$310

Page 70: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

70

Source: J.P. Morgan Asset Management; (Left) NACUBO (National Association of College and University Business Officers), Towers Watson; (Top right) Milliman Pension Funding Index; (Bottom right) Census for Governments, Compustat, FactSet, S&P 500 corporate 10-Ks. Endowment asset allocation as of 2019. Corporate DB plan asset allocation as of 2018. Endowments represents dollar-weighted average data of 749 colleges and universities. Corporate DB plans represents aggregate asset allocation of Fortune 1000 pension plans. Pension return assumptions based on all available and reported data from S&P 500 Index companies. State and local pension return assumptions are weighted by plan size. Pension assets, liabilities and funded status based on Milliman 100 companies reporting pension data as of April 30, 2020. All information is shown for illustrative purposes only. Guide to the Markets – U.S. Data are as of May 31, 2020.

Asset allocation: Corporate DB plans vs. endowments Defined benefit plans: Milliman 100 companies

Pension return assumptions

5.0%

5.5%

6.0%

6.5%

7.0%

7.5%

8.0%

8.5%

9.0%

9.5%

'92 '94 '96 '98 '00 '02 '04 '06 '08 '10 '12 '14 '16 '18

70%

75%

80%

85%

90%

95%

100%

105%

110%

$0.0

$0.4

$0.8

$1.2

$1.6

$2.0

$2.4

'07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17 '18 '19 YTD

2.9%

3.3%

3.7%

4.3%

3.8%

49.9%

32.1%

4.4%

15.7%

5.4%

12.3%

18.0%

9.0%

35.2%

0% 10% 20% 30% 40% 50% 60%

Cash

Other Alternatives

Real Estate

Private Equity

Hedge Funds

Fixed Income

Equities

Endowments

Corporate DB plans

Funded status (%)Assets ($tn)

Liabilities ($tn)

State & local

S&P 500 companies

Page 71: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

71

All indexes are unmanaged and an individual cannot invest directly in an index. Index returns do not include fees or expenses.

Equities:

The Dow Jones Industrial Average is a price-weighted average of 30 actively traded blue-chip U.S. stocks.

The MSCI ACWI (All Country World Index) is a free float-adjusted market capitalization weighted index that is designed to measure the equity market performance of developed and emerging markets.

The MSCI EAFE Index (Europe, Australasia, Far East) is a free float-adjusted market capitalization index that is designed to measure the equity market performance of developed markets, excluding the US & Canada.

The MSCI Emerging Markets Index is a free float-adjusted market capitalization index that is designed to measure equity market performance in the global emerging markets.

The MSCI Europe Index is a free float-adjusted market capitalization index that is designed to measure developed market equity performance in Europe.

The MSCI Pacific Index is a free float-adjusted market capitalization index that is designed to measure equity market performance in the Pacific region.

The Russell 1000 Index® measures the performance of the 1,000 largest companies in the Russell 3000.

The Russell 1000 Growth Index® measures the performance of those Russell 1000 companies with higher price-to-book ratios and higher forecasted growth values.

The Russell 1000 Value Index® measures the performance of those Russell 1000 companies with lower price-to-book ratios and lower forecasted growth values.

The Russell 2000 Index® measures the performance of the 2,000 smallest companies in the Russell 3000 Index.

The Russell 2000 Growth Index® measures the performance of those Russell 2000 companies with higher price-to-book ratios and higher forecasted growth values.

The Russell 2000 Value Index® measures the performance of those Russell 2000 companies with lower price-to-book ratios and lower forecasted growth values.

The Russell 3000 Index® measures the performance of the 3,000 largest U.S. companies based on total market capitalization.

The Russell Midcap Index® measures the performance of the 800 smallest companies in the Russell 1000 Index.

The Russell Midcap Growth Index ® measures the performance of those Russell Midcap companies with higher price-to-book ratios and higher forecasted growth values. The stocks are also members of the Russell 1000 Growth index.

The Russell Midcap Value Index ® measures the performance of those Russell Midcap companies with lower price-to-book ratios and lower forecasted growth values. The stocks are also members of the Russell 1000 Value index.

The S&P 500 Index is widely regarded as the best single gauge of the U.S. equities market. The index includes a representative sample of 500 leading companies in leading industries of the U.S. economy. The S&P 500 Index focuses on the large-cap segment of the market; however, since it includes a significant portion of the total value of the market, it also represents the market.

Fixed income:

The Bloomberg Barclays 1-3 Month U.S. Treasury Bill Index includes all publicly issued zero-coupon US Treasury Bills that have a remaining maturity of less than 3 months and more than 1 month, are rated investment grade, and have $250 million or more of outstanding face value. In addition, the securities must be denominated in U.S. dollars and must be fixed rate and non convertible.

The Bloomberg Barclays Global High Yield Index is a multi-currency flagship measure of the global high yield debt market. The index represents the union of the US High Yield, the Pan-European High Yield, and Emerging Markets (EM) Hard Currency High Yield Indices. The high yield and emerging markets sub-components are mutually exclusive. Until January 1, 2011, the index also included CMBS high yield securities.

The Bloomberg Barclays Municipal Index: consists of a broad selection of investment- grade general obligation and revenue bonds of maturities ranging from one year to 30 years. It is an unmanaged index representative of the tax-exempt bond market.

The Bloomberg Barclays US Dollar Floating Rate Note (FRN) Index provides a measure of the U.S. dollar denominated floating rate note market.

The Bloomberg Barclays US Corporate Investment Grade Index is an unmanaged index consisting of publicly issued US Corporate and specified foreign debentures and secured notes that are rated investment grade (Baa3/BBB or higher) by at least two ratings agencies, have at least one year to final maturity and have at least $250 million par amount outstanding. To qualify, bonds must be SEC-registered.

The Bloomberg Barclays US High Yield Index covers the universe of fixed rate, non-investment grade debt. Eurobonds and debt issues from countries designated as emerging markets (sovereign rating of Baa1/BBB+/BBB+ and below using the middle of Moody’s, S&P, and Fitch) are excluded, but Canadian and global bonds (SEC registered) of issuers in non-EMG countries are included.

The Bloomberg Barclays US Mortgage Backed Securities Index is an unmanaged index that measures the performance of investment grade fixed-rate mortgage backed pass-through securities of GNMA, FNMA and FHLMC.

The Bloomberg Barclays US TIPS Index consists of Inflation-Protection securities issued by the U.S. Treasury.

The J.P. Morgan Emerging Market Bond Global Index (EMBI) includes U.S. dollar denominated Brady bonds, Eurobonds, traded loans and local market debt instruments issued by sovereign and quasi-sovereign entities.

The J.P. Morgan Domestic High Yield Index is designed to mirror the investable universe of the U.S. dollar domestic high yield corporate debt market.

The J.P. Morgan Corporate Emerging Markets Bond Index Broad Diversified (CEMBI Broad Diversified)is an expansion of the J.P. Morgan Corporate Emerging Markets Bond Index (CEMBI). The CEMBI is a market capitalization weighted index consisting of U.S. dollar denominated emerging market corporate bonds.

The J.P. Morgan Emerging Markets Bond Index Global Diversified (EMBI Global Diversified) tracks total returns for U.S. dollar-denominated debt instruments issued by emerging market sovereign and quasi-sovereign entities: Brady bonds, loans, Eurobonds. The index limits the exposure of some of the larger countries.

The J.P. Morgan GBI EM Global Diversified tracks the performance of local currency debt issued by emerging market governments, whose debt is accessible by most of the international investor base.

The U.S. Treasury Index is a component of the U.S. Government index.

Page 72: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

72

Other asset classes:

The Alerian MLP Index is a composite of the 50 most prominent energy Master Limited Partnerships (MLPs) that provides investors with an unbiased, comprehensive benchmark for the asset class.

The Bloomberg Commodity Index and related sub-indices are composed of futures contracts on physical commodities and represents twenty two separate commodities traded on U.S. exchanges, with the exception of aluminum, nickel, and zinc

The Cambridge Associates U.S. Global Buyout and Growth Index® is based on data compiled from 1,768 global (U.S. & ex – U.S.) buyout and growth equity funds, including fully liquidated partnerships, formed between 1986 and 2013.

The CS/Tremont Hedge Fund Index is compiled by Credit Suisse Tremont Index, LLC. It is an asset-weighted hedge fund index and includes only funds, as opposed to separate accounts. The Index uses the Credit Suisse/Tremont database, which tracks over 4500 funds, and consists only of funds with a minimum of US$50 million under management, a 12-month track record, and audited financial statements. It is calculated and rebalanced on a monthly basis, and shown net of all performance fees and expenses. It is the exclusive property of Credit Suisse Tremont Index, LLC.

The HFRI Monthly Indices (HFRI) are equally weighted performance indexes, utilized by numerous hedge fund managers as a benchmark for their own hedge funds. The HFRI are broken down into 4 main strategies, each with multiple sub strategies. All single-manager HFRI Index constituents are included in the HFRI Fund Weighted Composite, which accounts for over 2200 funds listed on the internal HFR Database.

The NAREIT EQUITY REIT Index is designed to provide the most comprehensive assessment of overall industry performance, and includes all tax-qualified real estate investment trusts (REITs) that are listed on the NYSE, the American Stock Exchange or the NASDAQ National Market List.

The NFI-ODCE, short for NCREIF Fund Index - Open End Diversified Core Equity, is an index of investment returns reporting on both a historical and current basis the results of 33 open-end commingled funds pursuing a core investment strategy, some of which have performance histories dating back to the 1970s. The NFI-ODCE Index is capitalization-weighted and is reported gross of fees. Measurement is time-weighted.

Definitions:

Investing in alternative assets involves higher risks than traditional investments and is suitable only for sophisticated investors. Alternative investments involve greater risks than traditional investments and should not be deemed a complete investment program. They are not tax efficient and an investor should consult with his/her tax advisor prior to investing. Alternative investments have higher fees than traditional investments and they may also be highly leveraged and engage in speculative investment techniques, which can magnify the potential for investment loss or gain. The value of the investment may fall as well as rise and investors may get back less than they invested.

Bonds are subject to interest rate risks. Bond prices generally fall when interest rates rise.

Investments in commodities may have greater volatility than investments in traditional securities, particularly if the instruments involve leverage. The value of commodity-linked derivative instruments may be affected by changes in overall market movements, commodity index volatility, changes in interest rates, or factors affecting a particular industry or commodity, such as drought, floods, weather, livestock disease, embargoes, tariffs and international economic, political and regulatory developments. Use of leveraged commodity-linked derivatives creates an opportunity for increased return but, at the same time, creates the possibility for greater loss.

Derivatives may be riskier than other types of investments because they may be more sensitive to changes in economic or market conditions than other types of investments and could result in losses that significantly exceed the original investment. The use of derivatives may not be successful, resulting in investment losses, and the cost of such strategies may reduce investment returns.

Distressed Restructuring Strategies employ an investment process focused on corporate fixed income instruments, primarily on corporate credit instruments of companies trading at significant discounts to their value at issuance or obliged (par value) at maturity as a result of either formal bankruptcy proceeding or financial market perception of near term proceedings.

Investments in emerging markets can be more volatile. The normal risks of investing in foreign countries are heightened when investing in emerging markets. In addition, the small size of securities markets and the low trading volume may lead to a lack of liquidity, which leads to increased volatility. Also, emerging markets may not provide adequate legal protection for private or foreign investment or private property.

The price of equity securities may rise, or fall because of changes in the broad market or changes in a company’s financial condition, sometimes rapidly or unpredictably. These price movements may result from factors affecting individual companies, sectors or industries, or the securities market as a whole, such as changes in economic or political conditions. Equity securities are subject to “stock market risk” meaning that stock prices in general may decline over short or extended periods of time.

Equity market neutral strategies employ sophisticated quantitative techniques of analyzing price data to ascertain information about future price movement and relationships between securities, select securities for purchase and sale. Equity Market Neutral Strategies typically maintain characteristic net equity market exposure no greater than 10% long or short.

Global macro strategies trade a broad range of strategies in which the investment process is predicated on movements in underlying economic variables and the impact these have on equity, fixed income, hard currency and commodity markets.

International investing involves a greater degree of risk and increased volatility. Changes in currency exchange rates and differences in accounting and taxation policies outside the U.S. can raise or lower returns. Some overseas markets may not be as politically and economically stable as the United States and other nations.

There is no guarantee that the use of long and short positions will succeed in limiting an investor's exposure to domestic stock market movements, capitalization, sector swings or other risk factors. Using long and short selling strategies may have higher portfolio turnover rates. Short selling involves certain risks, including additional costs associated with covering short positions and a possibility of unlimited loss on certain short sale positions.

Merger arbitrage strategies which employ an investment process primarily focused on opportunities in equity and equity related instruments of companies which are currently engaged in a corporate transaction.

Mid-capitalization investing typically carries more risk than investing in well-established "blue-chip" companies. Historically, mid-cap companies' stock has experienced a greater degree of market volatility than the average stock.

Price to forward earnings is a measure of the price-to-earnings ratio (P/E) using forecasted earnings. Price to book value compares a stock's market value to its book value. Price to cash flow is a measure of the market's expectations of a firm's future financial health. Price to dividends is the ratio of the price of a share on a stock exchange to the dividends per share paid in the previous year, used as a measure of a company's potential as an investment.

Real estate investments may be subject to a higher degree of market risk because of concentration in a specific industry, sector or geographical sector. Real estate investments may be subject to risks including, but not limited to, declines in the value of real estate, risks related to general and economic conditions, changes in the value of the underlying property owned by the trust and defaults by borrower.

Relative Value Strategies maintain positions in which the investment thesis is predicated on realization of a valuation discrepancy in the relationship between multiple securities.

Small-capitalization investing typically carries more risk than investing in well-established "blue-chip" companies since smaller companies generally have a higher risk of failure. Historically, smaller companies' stock has experienced a greater degree of market volatility than the average stock.

Page 73: Dr. David Kelly, CFA · Madrid Agnes Lin Taipei Michael Bell, CFA London Alex Dryden, CFA New York Samantha Azzarello New York Dr. David Kelly, CFA New York Dr. Cecelia Mundt New

73

The Market Insights program provides comprehensive data and commentary on global markets without reference to products. Designed as a tool to help clients understand the markets and support

investment decision-making, the program explores the implications of current economic data and changing market conditions.

For the purposes of MiFID II, the JPM Market Insights and Portfolio Insights programs are marketing communications and are not in scope for any MiFID II / MiFIR requirements specifically related to investment research.Furthermore, the J.P. Morgan Asset Management Market Insights and Portfolio Insights programs, as non-independent research, have not been prepared in accordance with legal requirements designed to promote theindependence of investment research, nor are they subject to any prohibition on dealing ahead of the dissemination of investment research.

This document is a general communication being provided for informational purposes only. It is educational in nature and not designed to be taken as advice or a recommendation for any specific investment product,

strategy, plan feature or other purpose in any jurisdiction, nor is it a commitment from J.P. Morgan Asset Management or any of its subsidiaries to participate in any of the transactions mentioned herein. Any examples used

are generic, hypothetical and for illustration purposes only. This material does not contain sufficient information to support an investment decision and it should not be relied upon by you in evaluating the merits of investing in

any securities or products. In addition, users should make an independent assessment of the legal, regulatory, tax, credit, and accounting implications and determine, together with their own professional advisers, if any

investment mentioned herein is believed to be suitable to their personal goals. Investors should ensure that they obtain all available relevant information before making any investment. Any forecasts, figures, opinions or

investment techniques and strategies set out are for information purposes only, based on certain assumptions and current market conditions and are subject to change without prior notice. All information presented herein is

considered to be accurate at the time of production, but no warranty of accuracy is given and no liability in respect of any error or omission is accepted. It should be noted that investment involves risks, the value of

investments and the income from them may fluctuate in accordance with market conditions and taxation agreements and investors may not get back the full amount invested. Both past performance and yields are not

reliable indicators of current and future results.

J.P. Morgan Asset Management is the brand for the asset management business of JPMorgan Chase & Co. and its affiliates worldwide.

To the extent permitted by applicable law, we may record telephone calls and monitor electronic communications to comply with our legal and regulatory obligations and internal policies. Personal data will be collected,stored and processed by J.P. Morgan Asset Management in accordance with our privacy policies at https://am.jpmorgan.com/global/privacy.

This communication is issued by the following entities:

In the United States, by J.P. Morgan Investment Management Inc. or J.P. Morgan Alternative Asset Management, Inc., both regulated by the Securities and Exchange Commission; in Latin America, for intended recipients’ use only, by local J.P. Morgan entities, as the case may be.; in Canada, for institutional clients’ use only, by JPMorgan Asset Management (Canada) Inc., which is a registered Portfolio Manager and Exempt Market Dealer in all Canadian provinces and territories except the Yukon and is also registered as an Investment Fund Manager in British Columbia, Ontario, Quebec and Newfoundland and Labrador. In the United Kingdom, by JPMorgan Asset Management (UK) Limited, which is authorized and regulated by the Financial Conduct Authority; in other European jurisdictions, by JPMorgan Asset Management (Europe) S.à r.l. In Asia Pacific (“APAC”), by the following issuing entities and in the respective jurisdictions in which they are primarily regulated: JPMorgan Asset Management (Asia Pacific) Limited, or JPMorgan Funds (Asia) Limited, or JPMorgan Asset Management Real Assets (Asia) Limited, each of which is regulated by the Securities and Futures Commission of Hong Kong; JPMorgan Asset Management (Singapore) Limited (Co. Reg. No. 197601586K), which this advertisement or publication has not been reviewed by the Monetary Authority of Singapore; JPMorgan Asset Management (Taiwan) Limited; JPMorgan Asset Management (Japan) Limited, which is a member of the Investment Trusts Association, Japan, the Japan Investment Advisers Association, Type II Financial Instruments Firms Association and the Japan Securities Dealers Association and is regulated by the Financial Services Agency (registration number “Kanto Local Finance Bureau (Financial Instruments Firm) No. 330”); in Australia, to wholesale clients only as defined in section 761A and 761G of the Corporations Act 2001 (Commonwealth), by JPMorgan Asset Management (Australia) Limited (ABN 55143832080) (AFSL 376919). For all other markets in APAC, to intended recipients only.

For U.S. only: If you are a person with a disability and need additional support in viewing the material, please call us at 1-800-343-1113 for assistance.

Copyright 2020 JPMorgan Chase & Co. All rights reserved

Google assistant is a trademark of Google Inc.

Amazon, Alexa and all related logos are trademarks of Amazon.com, Inc. or its affiliates.

Prepared by: Samantha M. Azzarello, Alexander W. Dryden, Jordan K. Jackson, David M. Lebovitz, Jennie Li, John C. Manley, Meera Pandit, Gabriela D. Santos, Tyler J. Voigt and David P. Kelly.

Unless otherwise stated, all data are as of May 31, 2020 or most recently available.

Guide to the Markets – U.S.

JP-LITTLEBOOK | 0903c02a82565a44