Housing Finance Policy Center Lunchtime Data Talk New HMDA … · The 2014 HMDA Data NEIL BHUTTA...
Transcript of Housing Finance Policy Center Lunchtime Data Talk New HMDA … · The 2014 HMDA Data NEIL BHUTTA...
Housing Finance Policy Center Lunchtime Data Talk New HMDA Data: What Can We Learn? Bing Bai, Urban Institute Neil Bhutta, Federal Reserved Board of Governors Molly Boesel, CoreLogic Laurie Goodman, Urban Institute
October 6, 2015
The 2014 HMDA Data NEIL BHUT TA (FRB)
JACK POPPER (HARVARD)
DANIEL R INGO (FRB)
J IMMY KELL IHER (FRB)
Oct 6, 2015 2014 HMDA DATA 3
A couple disclaimers: 1) Most of these results are drawn from our Federal Reserve Bulletin article (link), but
some results reflect ongoing work and are preliminary
2) The views expressed here do not necessarily reflect those of the Federal Reserve
0.0
3.0
6.0
9.0
12.0
15.0
1994 1998 2002 2006 2010 2014
Millions Refinance loans
Refinance lending declined over 50 percent in 2014
Oct 6, 2015 2014 HMDA DATA 4
0
100
200
300
400
500
600
700
800
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3.2
3.4
3.6
3.8
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Thousands of loans Percentage points
Prime rate (left scale) Refinance originations (right scale)
Refinances declined when interest rates jumped in 2013
Oct 6, 2015 2014 HMDA DATA 5
1.0
2.0
3.0
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1994 1998 2002 2006 2010 2014
Millions Home purchase originations
Purchase originations grew in 2014, but remain at a subdued level
Oct 6, 2015 2014 HMDA DATA 6
100
150
200
250
300
350
Thousands of loans
Monthly purchase originations
Unadjusted Seasonally adjusted
Growth in purchase originations resumed in 2014
Oct 6, 2015 2014 HMDA DATA 7
Ability-to-repay (ATR) and Qualified Mortgage (QM) rules went into effect in 2014
ATR: Lenders must determine that borrowers have the ability to repay
(verify income/assets, consider credit history, etc.) QM loans are presumed to comply with ATR No risky features (e.g. interest-only, negative amortization) Points/fees < 3% (higher for loans < $100k) DTI < 43% (not applicable to GSE, FHA/VA, or small creditor portfolio loans)
Oct 6, 2015 8 2014 HMDA DATA
4.0
6.0
8.0
10.0
12.0
14.0
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
Minority shares of home-purchase loans
Black or African American Hispanic white
Minority shares of purchase loans reversed downward trends in 2014
Oct 6, 2015 2014 HMDA DATA 9
0.0
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40.0
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2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
FHA/VA/RHS Share of Home Purchase Loans
Black or African American Hispanic white Non-Hispanic white
Minorities’ use of FHA continued to decline in 2014
Oct 6, 2015 2014 HMDA DATA 10
30 27
30
25
30 28
31
26
Asian Black Hispanic White
90th percentile of front-end DTI, by race
2013 2014
Front-end debt payment to income (DTI) ratio: estimate using loan amount, income, APR spread and date of origination
Did high-DTI lending decline?
Oct 6, 2015 11 2014 HMDA DATA
.04
.06
.08
.1.1
2.1
4.1
6
-100 -50 0 50 100Loan size relative to conf loan limit ($,000's)
High-DTI share of originations, 2014
High DTI lending above the conforming loan limit
Notes: Each data point represents the share of first-lien conventional home purchase loans originated by banks with assets > $2 billion with an estimated front-end DTI > 28%.
Oct 6, 2015 12 2014 HMDA DATA
.04
.06
.08
.1.1
2.1
4.1
6
-100 -50 0 50 100Loan size relative to conf loan limit ($,000's)
High-DTI share of originations, 2013
Did “small creditors” originate more high-DTI loans?
Oct 6, 2015 2014 HMDA DATA 13
-.03
0.0
3.0
6.0
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0 200 400 600 800 1000Originations last year
Conventional high-DTI share of originations
Small creditor: assets < $2 billion & originations < 500 last year
Higher-priced QMs
QM loans that are higher priced (i.e. APR >= 150 bps over prime) have a “rebuttable presumption” of compliance, as opposed to a safe harbor
Exception: small creditors get the safe harbor up to 350 bps over prime
Oct 6, 2015 2014 HMDA DATA 14
Do small creditors originate more higher-priced loans?
Oct 6, 2015 2014 HMDA DATA 15
-.05
0.0
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.15
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0 200 400 600 800 1000Originations last year
Conventional higher-priced share of originations
Smallest institutions may value the safe harbor
Oct 6, 2015 2014 HMDA DATA 16
050
010
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0020
0025
00
2 3 4 5Spread over APOR
Number of conventional loans by small creditors
Changes also made to HOEPA in 2014
Home Ownership and Equity Protection Act (HOEPA): special consumer protections apply to extremely high-priced mortgages
Changes in 2014: Added new protections Expanded coverage to home purchase loans and HELOCs Modified price thresholds that trigger HOEPA
Oct 6, 2015 2014 HMDA DATA 17
Sharp drop in loans at HOEPA APR threshold in 2014
Oct 6, 2015 2014 HMDA DATA 18
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200
400
600
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1,200
6.05 6.15 6.25 6.35 6.45 6.55 6.65 6.75 6.85 6.95
Number of loans Site built or manufactured with loan amount ≥ $50,000
2013 2014
APR spread over APOR
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CoreLogic Estimate of Mortgage Originations Urban Institute Lunchtime Data Talk
Molly Boesel October 6, 2015
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CoreLogic Originations Benchmark Well with HMDA First-Lien Mortgage Originations
20 Source: HMDA, CoreLogic Public Records Data
©2015 CoreLogic, Inc. All rights reserved. Proprietary and Confidential.
Monthly Originations Available Through 1H 2015 Number of Purchase Mortgages up 12 Percent over 1H 2014
21 Source: CoreLogic Public Records Data
©2015 CoreLogic, Inc. All rights reserved. Proprietary and Confidential.
Monthly Originations Available Through 1H 2015 Dollar Amount Purchase Mortgages up 17 Percent over 1H 2014
22 Source: CoreLogic Public Records Data
2015 on pace for $812 billion of purchase originations
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Monthly Originations Property Type Condo Share of Originations Remains Suppressed
23 Source: CoreLogic Public Records Data
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Monthly Originations Sales Type New Construction and Distressed About 20 Percent of Total
24 Source: CoreLogic Public Records Data
1H 2014 to 1H 2015 Orig. Re-sales: + 16% New Constr: + 2% Distressed: - 11%
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Plans for the Originations Data
Regular updates on our Blog http://www.corelogic.com/blog/default.aspx Special cuts by Product, sales type, government share, ARM Share Commercial and multifamily Special geographies What else do you want to see?
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©2015 CoreLogic, Inc. All rights reserved. Proprietary and Confidential.
The views, opinions, forecasts and estimates herein are those of the CoreLogic Office of the Chief Economist, are subject to change without notice and do not necessarily reflect the position of CoreLogic or its management. The Office of the Chief Economist makes every effort to provide accurate and reliable information, however, it does not guarantee accuracy, completeness, timeliness or suitability for any particular purpose.
CORELOGIC and the CoreLogic logo are trademarks of CoreLogic, Inc. and/or its subsidiaries.
Where to find more information Look for regular updates to our commentary and data at http://www.corelogic.com/about-us/research.aspx Twitter: @CoreLogicEcon
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Oct 6, 2015 2014 HMDA DATA 27
Table 11. Lending activity, by type of institution, 2014 Percent except as noted
Institutions and type of activity
Type of institution1
Small bank
(< $1B)
Large bank
Credit union
Affiliated mortgage company
Independent mortgage company
All
Number of institutions 3,367 751 1,984 139 821 7,062
Originations (thousands) 558 2,161 545 313 2,403 5,980
Market share 9.3 36.1 9.1 5.2 40.2 100
Home-purchase loans (thousands)* 220 869 172 189 1,288 2,737
Conventional 73.8 74.3 86.8 58.9 51.9 63.4
Higher-priced share of conventional loans 11.3 1.7 8.9 1.0 1.5 3.1
LMI neighborhood3 11.9 11.8 12.7 12.6 14.7 13.3
Minority borrower4 11.8 17.8 14.4 16.8 22.6 19.3
Sold5 70.6 72.7 43.7 97.3 97.6 84.1 * First lien, owner-occupied, site-buillt loans
Independent mortgage companies have historically high market share
Oct 6, 2015 2014 HMDA DATA 28
0
20
40
60
80
100
1996 1998 2000 2002 2004 2006 2008 2010 2012 2014
Percent Shares of home purchase loans
Independent mortgage companies
Affiliate mortgage companies
Large banks
Small banks Credit unions
Mortgage company expansion spans market segments
Oct 6, 2015 2014 HMDA DATA 29
0
10
20
30
40
50
60
70
1996 1998 2000 2002 2004 2006 2008 2010 2012 2014
Percent Independent mortgage company share of purchase loans
Conforming Jumbo Nonconventional
Mortgage company expansion spans market segments (cont.)
Oct 6, 2015 2014 HMDA DATA 30
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10
20
30
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1996 1998 2000 2002 2004 2006 2008 2010 2012 2014
Percent Independent mortgage company share of purchase loans
Asian Black Hispanic white Non-Hispanic white
Western states rely most heavily on independent mortgage companies
Oct 6, 2015 2014 HMDA DATA 31
Potential issues raised by the shifting landscape Housing finance system is more reliant on less regulated and less financially
robust institutions Credit unions and mortgage companies originate majority of loans, but they
are not covered by the Community Reinvestment Act (CRA) CRA-related loans to LMI borrowers substantially outperformed non-CRA loans (e.g.
Avery and Brevoort 2015, Bhutta and Canner 2013) Do independent mortgage companies charge more?...
Oct 6, 2015 2014 HMDA DATA 32
Oct 6, 2015 2014 HMDA DATA 33
Do independent mortgage companies (IMCs) charge more for FHA loans? FHA loan pricing, IMCs relative to other institutions, 2014
Outcome: Prob(higher-priced)
IMC higher-price share = 0.51
Outcome: APR Spread for higher-priced loans
IMC mean spread = 1.85
Banks -0.253** -0.231** -0.079** -0.087** (0.016) (0.012) (0.008) (0.005)
Affiliates -0.118** -0.089** -0.067** -0.062** (0.022) (0.018) (0.008) (0.007)
Credit unions -0.370** -0.375** -0.030 -0.056 (0.033) (0.040) (0.031) (0.033)
Borrower controls Yes Yes County fixed effects Yes Yes Adj R-square 0.051 0.14 0.01 0.097 N 583,539 580,063 258,646 257,475 Notes: First-lien, owner-occupied FHA purchase mortgages only. Borrower controls includes sets of dummy variables for race, ethnicity, income, loan amount and origination month. Higher-priced loans have an APR at least 150 bps over prime. Standard errors in parentheses, clustered at state level.
An interactive map based on HMDA data
Bing Bai, Research Associate
Housing Finance Policy Center
Urban Institute
Urban Institute Lunchtime Data Talk
October 6, 2015
Washington, DC
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A New Way to View HMDA Data
An interactive map that visualizes14 years of HMDA data on more than 120 million
mortgages by race and ethnicity throughout the country
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Data
• 2001 – 2014 HMDA originations
• Owner-occupied only
• Both purchase and refinance loans
• Each dot on the map represents 20 new mortgages
• The color of the dot indicates the reported race and ethnicity of the borrowers
HMDA Map 2014
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38
DC : 2014
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DC : 2006 vs. 2014
29.3%
17.8% 19.1%
8.9% 7.7%
11.8%
2006 2014
Minority Mortgage Shares
African American
Hispanic
Asian
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San Francisco & San Jose : 2006 vs. 2014
6.5% 2.9%
24.3%
9.6%
25.7%
34.9%
2006 2014
Minority Mortgage Shares
African American
Hispanic
Asian
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Detroit : 2006 vs. 2014
17.2%
6.4%
2.4% 2.0% 2.8%
4.4%
2006 2014
Minority Mortgage Shares
African American
Hispanic
Asian
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0%
2%
4%
6%
8%
10%
12%
14%
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014
African American Hispanic Asian
US Minority Mortgage Shares
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HMDA Map: http://datatools.urban.org/Features/mortgages-by-race/#5/37.996/-96.570
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