Actuarial Approach to MBS Valuation

38
1 May 5, 2009 MORTGAGE BACKED SECURITIES AN ACTUARIAL APPROACH TO CASH FLOW ANALYSIS Kyle S. Mrotek, FCAS, MAAA Neal Dihora, ASA, CFA CAS Spring Meeting May 5, 2009

description

An Actuarial Approach to MBS Valuation, as presented at the CAS\'s 2009 Spring Meeting in New Orleans, Kyle Mrotek and Neal Dihora

Transcript of Actuarial Approach to MBS Valuation

1

May 5, 2009

MORTGAGE BACKED SECURITIES AN ACTUARIAL APPROACH TO

CASH FLOW ANALYSIS

Kyle S. Mrotek, FCAS, MAAANeal Dihora, ASA, CFA

CAS Spring Meeting

May 5, 2009

2

May 5, 2009

Agenda

What is a Mortgage Backed Security (MBS)? Background on the MBS market Current situation Actuarial model presentation

3

What is a Mortgage Backed Security?

Investor B(XYZ Ins. Co.)

Investor A(Pension Fund)

MBS Issuer/Trustee

Originator A(Retains Servicing)

Originator B

Servicer

Jack Sally Jane John

Mortgage

Payments

Mor

tgag

e

Paym

ents

MortgageMortgage

Payments

Payments

Sells Servicing Rights

Purchases Jane’s

Mortgage

Purchases John’s

Mortgage

Purchases Jack’s

Mortgage (Payments)

Purchases Sally’s

Mortgage (Payments)

Buys a Portion of M

BS

Buys a Portion of MBS

Cash Flows

Cash Flows

Jane & John’s Payments

May 5, 2009

4

May 5, 2009

MBS Valuation Flowchart

Collateral

(Mortgage Loans)

Macro Factors &Assumptions

Prepay /Credit

Models

InterestRate and

HPASimulations

CashFlow

EngineA

BBB

BBB-

Sub

AA

AAA

A

BBB

BBB-

Sub

AA

AAA

LossesLosses

Principal &Interest

Principal &Interest

Data ModelsSecurity Capital

StructureCDO Capital

Structure

Prepay

Default

Loss Severity

5

May 5, 2009

Gross Issuance

$0

$500,000

$1,000,000

$1,500,000

$2,000,000

$2,500,000

$3,000,000

Gross MBS Issuance ($ millions)

Agency

Total Non-Agency

Total MBS

Source: Inside MBS & ABS and UBS

6

May 5, 2009

Agency vs. Non-Agency

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Perc

ent

MBS Market Share

Agency

Total Non-Agency

Source: Inside MBS & ABS and UBS

7

May 5, 2009

Non-Agency by Type

0

50,000

100,000

150,000

200,000

250,000

300,000

350,000

400,000

450,000

500,000

Non-Agency Gross MBS Issuance($ millions)

Alt-A

Jumbo

Subprime

Other

Source: Inside MBS & ABS and UBS

8

May 5, 2009

Non-Agency by Type

0%

5%

10%

15%

20%

25%

Perc

ent

Non-Agency (% of Total MBS Issuance)

Alt-A

Jumbo

Subprime

Other

Source: Inside MBS & ABS and UBS

9

May 5, 2009

Current Situation

• What happened?• Liquidity evaporated

• Market values eroded

• Why is valuation needed?• GAAP Accounting regulations still require a value (FAS 157)

• Risk quantification• Distribution of assumptions and valuations

10

May 5, 2009

Liquidity Evaporated

Broker/Dealers of non-Agency MBS unwilling to provide liquidity 1

Forced liquidations of MBS set market prices 1

Pricing vendors find it difficult to obtain “real” prices Bid - Ask spread is 10-30 points depending on

collateral and the depth of distress 2

1AD&Co's 16th Annual Conference: The Times They Are A-Changin‘2”Getting Out of the Mess” by Dave Hurt at the Loan Performance Symposium March 11, 2009

11

May 5, 2009

Liquidity Evaporated

100

120

140

160

180

200

220

240

260

280

300

1/9/

04

3/9/

04

5/9/

04

7/9/

04

9/9/

04

11/9

/04

1/9/

05

3/9/

05

5/9/

05

7/9/

05

9/9/

05

11/9

/05

1/9/

06

3/9/

06

5/9/

06

7/9/

06

9/9/

06

11/9

/06

1/9/

07

3/9/

07

5/9/

07

7/9/

07

9/9/

07

11/9

/07

1/9/

08

3/9/

08

5/9/

08

7/9/

08

9/9/

08

11/9

/08

1/9/

09

3/9/

09

Mortgage Spread (Conventional Mortgage Loan less 10-year Treasury)

Mortgage SpreadSource: Federal Reserve Board

12

May 5, 2009

Erosion of Market Values

50

75

100

125

150

175

200

225

1890 1910 1930 1950 1970 1990 2010

Real Home Price Index (1890-2008)

Source: http://www.econ.yale.edu/~shiller/data.htm

13

May 5, 2009

Erosion of Market Values

100

120

140

160

180

200

220

Jan-

00

Apr-0

0

Jul-0

0

Oct

-00

Jan-

01

Apr-0

1

Jul-0

1

Oct

-01

Jan-

02

Apr-0

2

Jul-0

2

Oct

-02

Jan-

03

Apr-0

3

Jul-0

3

Oct

-03

Jan-

04

Apr-0

4

Jul-0

4

Oct

-04

Jan-

05

Apr-0

5

Jul-0

5

Oct

-05

Jan-

06

Apr-0

6

Jul-0

6

Oct

-06

Jan-

07

Apr-0

7

Jul-0

7

Oct

-07

Jan-

08

Apr-0

8

Jul-0

8

Oct

-08

Jan-

09

Case-Shiller Home Price Index Since January 2000

'Case Shiller 20 City Compsite'Source: Standard and Poor's

Jul 06: 206.5

Jan 09: 146.4

Decline: -29%

14

May 5, 2009

Erosion of Market Values

0

10

20

30

40

50

60

70

80

Price

ABX HE AAA 2007-2 Index

Source: Bloomberg

15

May 5, 2009

Erosion of Market Values

ABX HE AAA 2007-2 Index ComponentsACE Securities Corp. Home Equity Loan Trust, Series 2007-HE4Bear Stearns Asset Backed Securities I Trust 2007-HE3Citigroup Mortgage Loan Trust 2007-AMC2CWABS Asset-Backed Certificates Trust 2007-1 First Franklin Mortgage Loan Trust, Series 2007-FF1GSAMP Trust 2007-NC1 Home Equity Asset Trust 2007-2 HSI Asset Securitization Corporation Trust 2007-NC1 J.P. MORGAN MORTGAGE ACQUISITION TRUST 2007-CH3Merrill Lynch First Franklin Mortgage Loan Trust, Series 2007-2 MERRILL LYNCH MORTGAGE INVESTORS TRUST, SERIES 2007-MLN1 Morgan Stanley ABS Capital I Inc. Trust 2007-NC3 Nomura Home Equity Loan, Inc., Home Equity Loan Trust Series 2007-2 NovaStar Mortgage Funding Trust, Series 2007-2 OPTION ONE MORTGAGE LOAN TRUST 2007-5 RASC Series 2007-KS2 Trust Securitized Asset Backed Receivables LLC Trust 2007-BR4 Structured Asset Securities Corporation Mortgage Loan Trust 2007-BC1 SOUNDVIEW HOME LOAN TRUST 2007-OPT1 WaMu Asset-Backed Certificates WaMu Series 2007-HE2

Source: markit.com 3/16/09

16

May 5, 2009

GAAP Valuation Still Needed

Mark to Market – FAS 157 required companies to value holdings

• Level 1 – based on market price– Recent observed prices could be due to forced liquidation

• Level 2 – based on related price (ex. spread to treasuries)– Spreads can reflect lots of different risks (credit, liquidity,…)

• Level 3 – based on model price

Mark to Model pricing developed from loan level data– FASB relaxation of mark-to-market rules – FAS 157-4 and FAS 115-2– Perhaps an ‘intrinsic value’ based on full range of scenarios

17

May 5, 2009

GAAP Valuation Still Needed

FAS 157 –Level 3 assets as % of tangible common equity

18

May 5, 2009

Risk Quantification

The following table has daily percent changes of DJIA under a Normal Distribution assumption and reality

Percent Move (1916-2003)

Normal Distribution Assumption Reality

<>3.4% 58 1001

<>4.5% 6 366

<>7% 1 in 300,000 years 48

Source: Benoit Mandelbrot, Economist 1/24/2009

19

May 5, 2009

MBS Valuation Flowchart

Collateral

(Mortgage Loans)

Macro Factors &Assumptions

Prepay /Credit

Models

InterestRate and

HPASimulations

CashFlow

EngineA

BBB

BBB-

Sub

AA

AAA

A

BBB

BBB-

Sub

AA

AAA

LossesLosses

Principal &Interest

Principal &Interest

Data ModelsSecurity Capital

StructureCDO Capital

Structure

Prepay

Default

Loss Severity

20

May 5, 2009

MBS Valuation Process

Collateral– Extensive history– Utilize loan level experience

Macro factors– Home prices– Interest rates– Unemployment

21

May 5, 2009

Model

General Characteristics– Transparent– Credit Focus

Prepay model– Willingness

• Interest rate– Ability

• Current LTV• Lending standards/policies• Federal government initiatives

22

May 5, 2009

Credit Model

Collateral ‘loss’ projection– Amount and timing– ‘Loss’ is failure to pay timely P&I

Methods– ‘Paid’ Loss Development Factor (LDF)– ‘Incurred’ LDF– Adjusted ‘paid’ BF method– ‘Incurred’ BF– Non-exhaustive

23

May 5, 2009

Ultimate Loss Rate ‘Paid’ LDF

Ultimate loss rate (ULR) ‘Paid’ losses to date

– Can calculate from loan level data– Data aggregators

Cumulative loss curve by age of loan– Reciprocal of cumulative LDF– Examples on next slide– What % of the losses should we expect to see at a certain loan age

Ultimate loss = ‘paid’ losses / % expected to be ‘paid’

24

May 5, 2009

Ultimate Loss Rate ‘Paid’ LDF

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

0 3 6 9 12 15 18 21 24 27 30 33 36 39 42 45 48 51 54 57 60 63 66 69 72 75 78 81 84 87 90 93 96 99 102

105

108

111

114

117

120

Perc

ent

Illustrative Loss Curves - Moody's and Fitch

Moody's Alt-A FRM/ARM First Lien

Fitch Prime/Alt-A

Fitch Subprime

Moody's Subprime FRM First Lien

Age (months)

25

May 5, 2009

Ultimate Loss Rate “Incurred” LDF

Incurred losses = ‘paid’ losses + estimate of loss on inventory of delinquent loans

Roll rate model = Frequency/Severity method Frequency = Pr( default | status of delinquency) Severity (% of loan that is not recoverable) Utilize incurred loss curves to calculate ultimate

loss rate Challenges/pitfalls

26

May 5, 2009

Challenges/Pitfalls

Source: Moody’s Subprime RMBS Loss Projection Update, March 5, 2009

Source: Moody’s March 5, 2009

27

May 5, 2009

Challenges/Pitfalls

Source: Moody’s Alt-A RMBS Loss Projection Update, January 22, 2009

Source: Moody’s January 22, 2009

28

May 5, 2009

B/F Method

• A Priori ULR Development• Frequency of default

• Severity given default

• Unadjusted a priori ultimate loss rate = frequency x severity

• Critical considerations for loan level collateral• Underwriting characteristics (FICO, LTV, documentation, etc.)

• Economic factors

29

May 5, 2009

A Priori Development - Frequency

Amortization

FICO-LTV

Interest Only

Loan Purpose

Property Type

Occupancy

Documentation

Loan Size

Illustrative Loan Characteristics

Prime

Alt-A

Subprime

30

May 5, 2009

A Priori Development - Frequency

Source: “Negative equity and foreclosure: Theory and evidence”, Christopher L. Foote, Kristopher Gerardi, Paul S. Willen, Journal of Urban Economics 64 (2008), pp. 234-345

31

May 5, 2009

A Priori Development - Severity

• Severity of Default– Home price changes– Costs of foreclosure (realtor, legal, upkeep)– Accrued interest– Stressed sale– Government intervention may impact severity

32

May 5, 2009

A Priori Development - Severity

0%

1%

2%

3%

4%

5%

6%

7%

8%

9%

10%

0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50% 55% 60% 65% 70% 75% 80% 85% 90% 95% 100%

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Loan Level Severity

Illustrative Loan Level Severity Distribution

33

May 5, 2009

Ultimate Loss Rate Adjusted Paid BF

Paid losses to date A priori persistency adjustment

– Actual persistency = unpaid balance / original balance– A priori persistency = anticipated unpaid balance / original balance– Adjustment needed to allow for more/less losses based on actual vs.

anticipated exposure duration

Adjust a priori ultimate loss rate by persistency factor

Use loss curve to estimate % yet to be paid

34

May 5, 2009

Ultimate Loss Rate “Incurred” BF

Utilize incurred loss curve Take a priori ultimate loss rate (from a priori

development) – Utilize incurred loss curves to estimate % yet to be paid

Incurred BF ultimate loss = incurred to date + estimate of yet to be incurred

35

May 5, 2009

MBS Valuation Flowchart

Collateral

(Mortgage Loans)

Macro Factors &Assumptions

Prepay /Credit

Models

InterestRate and

HPASimulations

CashFlow

EngineA

BBB

BBB-

Sub

AA

AAA

A

BBB

BBB-

Sub

AA

AAA

LossesLosses

Principal &Interest

Principal &Interest

Data ModelsSecurity Capital

StructureCDO Capital

Structure

Prepay

Default

Loss Severity

36

May 5, 2009

Cash Flow Waterfall

MBS intrinsic value = NPV (future security CFs) Future security CFs = f(mortgage collateral

performance, structure)– Which security gets how much when depends on cash

flow amounts and timing and triggers– Various triggers

37

May 5, 2009

Cash Flow Waterfall

Illustrative NPV of Cash Flow Waterfall OutputNet Present Value (NPV)

RMBS Tranche Original Rating Scenario 1 Scenario 2 Scenario 3

A AAA 99.71 99.66 99.70

B AAA 77.63 78.52 69.03

C AA 79.09 7.81 1.64

D AA 78.64 9.96 1.66

E A 80.16 2.79 0.70

F BBB 86.83 0.64 0.39

G BBB 85.62 0.49 0.39

H BB 0.94 0.40 0.39

I BB 0.78 0.40 0.39

J Not Rated 5.46 5.34 0.39

K Not Rated 0.40 0.40 0.39

38

May 5, 2009

MORTGAGE BACKED SECURITIES AN ACTUARIAL APPROACH TO

CASH FLOW ANALYSIS

Questions?

[email protected]@Milliman.com