MORTGAGE BACKED SECURITIES AN ACTUARIAL APPROACH TO CASH FLOW - - PowerPoint PPT Presentation

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MORTGAGE BACKED SECURITIES AN ACTUARIAL APPROACH TO CASH FLOW - - PowerPoint PPT Presentation

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 1 May 5, 2009 Agenda What is a Mortgage Backed Security (MBS)? Background on the


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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

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2 May 5, 2009

Agenda

  • What is a Mortgage Backed Security (MBS)?
  • Background on the MBS market
  • Current situation
  • Actuarial model presentation
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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 Jane & John’s Payments May 5, 2009

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4 May 5, 2009

MBS Valuation Flowchart

Collateral (Mortgage Loans) Macro Factors & Assumptions Prepay / Credit Models Interest Rate and HPA Simulations Cash Flow Engine A BBB BBB- Sub AA AAA A BBB BBB- Sub AA AAA

Losses Losses Principal & Interest Principal & Interest

Data Models

Security Capital Structure CDO Capital Structure Prepay Default Loss Severity

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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

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6 May 5, 2009

Agency vs. Non-Agency

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Percent

MBS Market Share

Agency Total Non-Agency

Source: Inside MBS & ABS and UBS

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7 May 5, 2009

Non-Agency by Type

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

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8 May 5, 2009

Non-Agency by Type

0% 5% 10% 15% 20% 25% Percent

Non-Agency (% of Total MBS Issuance)

Alt-A Jumbo Subprime Other

Source: Inside MBS & ABS and UBS

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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
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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

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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 Spread

Source: Federal Reserve Board

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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

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13 May 5, 2009

Erosion of Market Values

100 120 140 160 180 200 220 Jan-00 Apr-00 Jul-00 Oct-00 Jan-01 Apr-01 Jul-01 Oct-01 Jan-02 Apr-02 Jul-02 Oct-02 Jan-03 Apr-03 Jul-03 Oct-03 Jan-04 Apr-04 Jul-04 Oct-04 Jan-05 Apr-05 Jul-05 Oct-05 Jan-06 Apr-06 Jul-06 Oct-06 Jan-07 Apr-07 Jul-07 Oct-07 Jan-08 Apr-08 Jul-08 Oct-08 Jan-09

Case-Shiller Home Price Index Since January 2000

'Case Shiller 20 City Compsite'

Source: Standardand Poor's Jul06: 206.5 Jan 09: 146.4 Decline: -29%

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14 May 5, 2009

Erosion of Market Values

10 20 30 40 50 60 70 80 Price

ABX HE AAA 2007-2 Index

Source: Bloomberg

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15 May 5, 2009

Erosion of Market Values

  • ABX HE AAA 2007-2 Index Components

ACE Securities Corp. Home Equity Loan Trust, Series 2007-HE4 Bear Stearns Asset Backed Securities I Trust 2007-HE3 Citigroup Mortgage Loan Trust 2007-AMC2 CWABS Asset-Backed Certificates Trust 2007-1 First Franklin Mortgage Loan Trust, Series 2007-FF1 GSAMP Trust 2007-NC1 Home Equity Asset Trust 2007-2 HSI Asset Securitization Corporation Trust 2007-NC1 J.P. MORGAN MORTGAGE ACQUISITION TRUST 2007-CH3 Merrill 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

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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

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17 May 5, 2009

GAAP Valuation Still Needed

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

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19 May 5, 2009

MBS Valuation Flowchart

Collateral (Mortgage Loans) Macro Factors & Assumptions Prepay / Credit Models Interest Rate and HPA Simulations Cash Flow Engine A BBB BBB- Sub AA AAA A BBB BBB- Sub AA AAA

Losses Losses Principal & Interest Principal & Interest

Data Models

Security Capital Structure CDO Capital Structure Prepay Default Loss Severity

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20 May 5, 2009

MBS Valuation Process

  • Collateral

– Extensive history – Utilize loan level experience

  • Macro factors

– Home prices – Interest rates – Unemployment

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21 May 5, 2009

Model

  • General Characteristics

– Transparent – Credit Focus

  • Prepay model

– Willingness

  • Interest rate

– Ability

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

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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’
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24 May 5, 2009

Ultimate Loss Rate ‘Paid’ LDF

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 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 Percent

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)

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25 May 5, 2009

Ultimate Loss Rate “Incurred” LDF

  • Incurred losses = ‘paid’ losses + estimate of loss
  • n 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
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26 May 5, 2009

Challenges/Pitfalls

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

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27 May 5, 2009

Challenges/Pitfalls

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

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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
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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

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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

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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

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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

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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
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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

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35 May 5, 2009

MBS Valuation Flowchart

Collateral (Mortgage Loans) Macro Factors & Assumptions Prepay / Credit Models Interest Rate and HPA Simulations Cash Flow Engine A BBB BBB- Sub AA AAA A BBB BBB- Sub AA AAA

Losses Losses Principal & Interest Principal & Interest

Data Models

Security Capital Structure CDO Capital Structure Prepay Default Loss Severity

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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

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37 May 5, 2009

Cash Flow Waterfall

Illustrative NPV of Cash Flow Waterfall Output

Net 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

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38 May 5, 2009

MORTGAGE BACKED SECURITIES AN ACTUARIAL APPROACH TO CASH FLOW ANALYSIS Questions?

Kyle.Mrotek@Milliman.com Neal.Dihora@Milliman.com