securitization subprime mortgage credit

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Securitization of Subprime Mortgage Credit B. Rosen R. Tsai

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Page 1: Securitization Subprime Mortgage Credit

Securitization of Subprime Mortgage Credit

B. RosenR. Tsai

Page 2: Securitization Subprime Mortgage Credit

Table of Contents

• Summary of empirical research by Yuliya Demyank (St. Louis Fed) and Otto Van Hemert (NYU Stern) – Dec 2008

• Analysis of Bloomberg Data

Page 3: Securitization Subprime Mortgage Credit

Empirical Research by Demyank and Van Hemert

“Understanding the Subprime Mortgage Crisis”

via Social Science Research Network

Page 4: Securitization Subprime Mortgage Credit

Demyank, Van Hemert approach

• “What do the data tell us about the possible causes of the 2007 subprime mortgage crisis?”

• Used loan-level database containing info on ½ of all mortgages originated between 2001 and 2007

Page 5: Securitization Subprime Mortgage Credit

2006 and 2007 vintages performed worst

• Delinquencies are 60 days past due, in foreclosure, bank-owned, defaulted• Adjusted rate accounts for differences in FICO, Loan To Value, Debt to Income

and other variables

Page 6: Securitization Subprime Mortgage Credit

06-07: All loan types suffered

• Conventional wisdom said only hybrid or low-documentation loans performed badly

• Not true! Fixed rate and full documentation loans also showed substantially higher delinquency rates

Page 7: Securitization Subprime Mortgage Credit

Most important variables

• Most important macroeconomic factor was subsequent house price appreciation (at MSA) level)documentation loans performed badly

• For empirical analysis, we run a proportional odds duration model with the probability of (first-time) delinquency a function of these factors and loan age.

Page 8: Securitization Subprime Mortgage Credit

Background on proportional odds (ordered logit)

• Y is cumulative default rate, x is vector of variables (loan to value, FICO, house price appreciation, loan age)

• Beta is vector of regression coefficients

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Five findings• Quantified determinants of 2006 and 2007 loans• Showed declining loan quality (loan performance

adjusted for borrower, macro variables)• Was possible to detect loan deterioration ahead

of time with simple statistical tests• Securitizers knew of deterioration, changing

determinants of mortgage rates• Higher likelihood of delinquencies in low- middle-

income areas (negative byproduct of Community Reinvestment Act, GSEs)

Page 10: Securitization Subprime Mortgage Credit

Subprime loan characteristics

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Actual Delinquency Rate

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Determinants

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Determinants

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Determinants

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Analysis of Bloomberg Data

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Yield to Maturity Analysis

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Collateral Composition

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Collateral Composition

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Collateral Composition

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Collateral Composition

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Loss Coverage

Page 22: Securitization Subprime Mortgage Credit

Delinquency

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Liquidated & Prepaid Loans

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Scenario Analysis ($65)

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Scenario Analysis ($75)