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A Decade of CDO Pricing World Congress on Computational Finance Jon Gregory [email_address] March 26 th  2007 trant: Cover Option 2
Growth of Structured Credit Products Note: Notional excludes asset swaps Source: British Bankers Association Credit Derivatives Report 2006; Barclays Capital Credit Research 0 5 10 15 20 25 30 35 1996 1998 1999 2000 2001 2002 2003 2004 2006 2008E $ Trillion ,[object Object],Cash Flow Structured Finance CDOs Synthetic Balance Sheet CDOs; N th -to-Default Baskets Single Tranche CDOs; Managed CDOs; CDS Indices Bespoke Managed CDOs; Equity Default Swaps; Constant Maturity Default Swaps; Interest Rate Hybrids Options; Capital Structure Arbitrage; CDO 2 Synthetic Arbitrage CDOs Recovery Swaps; Dow Jones CDX/iTraxx Tranche Trades Leveraged super senior, CPPI and CPDO
Before the Correlation Market
The Gaussian Copula Model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Manifestation of correlation risk Parallel gamma Idiosyncratic gamma Default
Gaussian Copula Model in Action Many sudden credit  events occurring early Several credit events Few credit events Hedging simulation of [3-6%] long protection position, delta hedged only
Model Risk : Choice of Copula ,[object Object],36 0.06 0.06 0.04 0.04 10 36 0.39 0.35 0.25 0.28 9 36 1.5 1.3 1.1 1.2 8 36 4.3 4.0 3.5 3.6 7 36 11 10 10 11 6 36 25 25 24 24 5 37 56 55 55 55 4 53 123 122 122 122 3 160 274 276 278 277 2 723 723 723 723 723 1 Marshall-Olkin Copula Clayton Copula Student-t copula (12 dof) Student-t copula (6 dof) Gaussian Copula Rank 10 names, spreads from 60 bps to 150 bps, recovery = 40%, maturity = 5 years, Gaussian correlation = 30%
Black Scholes compared to GCM ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Correlation Skew
[object Object],Standard Index Tranches The growth of the index market has led the development of liquid tranched credit markets DJ iTraxx Europe Super Senior 22-100% Equity 0-3% 3-6% 6-9% 125 equally weighted names 12-22% 9-12% Tranched DJ iTraxx Europe
A Traded Correlation Market Market GCM 24.00% 19.3% 82.5 234.7 26.5 82.0 14.0 32.9 8.75 6.99 3.53 0.05 ,[object Object],[object Object],[object Object],Super Senior 22-100% Equity 0-3% 3-6% 6-9% 12-22% 9-12%
Base Correlation
Base Correlation – Interpolation and Extrapolation [16-17%] tranchelet Base Correlation Curve “ Tranchelet” Premiums
Arbitrage-free Loss Interpolation ,[object Object],[object Object],[object Object],[object Object],[object Object]
Tranchelet Pricing – Some Extremes Maximum concavity, maximum dispersion, idiosyncratic risk 3 6 3 6 3 6 Tranche notional [0-3%] equity tranche    [0-1%], [1-2%] and [2-3%] tranchelets Minimum concavity, systemic risk effect 1,201 2-3% 1,201 1-2% 1,201 0-1% 61 2-3% 1,214 1-2% 3,090 0-1%
Pricing Tranchelets We know for example [0-3%] and [3-6%] Where would we price [0-1%], [1-2%], [2-3%], [3-4%], [4-5%] and [5-6%] ? ,[object Object],[object Object]
CDO Models
CDO Models ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Implied copula
Difficulty in fitting the market Implied Compound Correlation
The Toothpaste Tube Analogy Super Senior 22-100% Equity 0-3% 3-6% 6-9% Index [0-100%] 12-22% 9-12% Index = Sum of tranches [22-100%] = [0-100%] – [0-3%] – [3-6%] – [6-9%] – [9-12%] – [12-22%]
The Toothpaste Tube Analogy (II) ,[object Object],[object Object],[22-100%] > [12-22%] [22-100%] = 0
Fitting the Market - Summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Bespoke Tranches – Normalisation Methods If the portfolio is more risky then an equivalent tranche is more risky How to we adjust the correlation curve we use to account for this? Index portfolio Bespoke portfolio Expected loss Tranche
Bespoke Tranches – Normalisation Methods (II)
Structural Models Lead only one way ,[object Object],[object Object],[object Object]
The Future
Index Correlation – off the run tranches Index rolls give us more maturity information detach maturity correlation CDX.5 CDX.6 CDX.7 CDX.8 CDX.5 CDX.6 CDX.7 CDX.8 CDX.5 CDX.6 CDX.7 CDX.8 5Y 7Y 10Y “ Base Correlation”  Surface CDX.4 CDX.4 CDX.4
Index Correlation – HY/IG Different indices may provide complimentary information [15-30%] [25-35%] [10-15%] [15-25%] [7-10%] [10-15%] [3-7%] [0-10%] [0-3%] CDX HY CDX IG
Index Correlation – HY/IG (II) Test out your pricing method 3% 7% 10% 15% 30% IG HY 3% 35% 25% 15% 10% IG HY
Index Correlation – HY/IG (III) Obvious implications for Barbell portfolios [15-30%] [25-35%] [10-15%] [15-25%] [7-10%] [10-15%] [3-7%] [0-10%] [0-3%] CDX HY CDX IG
Bespoke CDO Pricing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],iTraxx.6 5Y iTraxx.6 7Y iTraxx.6 10Y iTraxx.5 5Y iTraxx.5 7Y iTraxx.5 10Y HY tranches XO tranches Bespokes spread Maturity MODEL
Product Development  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Payoff sensitive to credit spread distributions aswell as default times Payoffs only depend on default times Large area of interest tackling these exotic CDOs Now we need a model based approach that can characterise maturity term structure Stochastic Intensity and Dynamic Loss Models Base correlation, implied copula approach
The Challenges and Solutions Tranchelet pricing Bespoke Pricing Forward Starting Loss Surface Construction Tranche Options Enhanced Base Correlation Methods Implied Copula Approach Stochastic Intensity Models Dynamic Loss Models There is no one to one mapping in the above    Tranche options pricing may be very sensitive to tranchelet pricing “ Exotic” CDOs
Disclaimer ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],trant: Note to Production Team Don’t forget to enter EU number EUXXX

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A decade of CDO pricing

  • 1. A Decade of CDO Pricing World Congress on Computational Finance Jon Gregory [email_address] March 26 th 2007 trant: Cover Option 2
  • 2.
  • 4.
  • 5. Gaussian Copula Model in Action Many sudden credit events occurring early Several credit events Few credit events Hedging simulation of [3-6%] long protection position, delta hedged only
  • 6.
  • 7.
  • 9.
  • 10.
  • 12. Base Correlation – Interpolation and Extrapolation [16-17%] tranchelet Base Correlation Curve “ Tranchelet” Premiums
  • 13.
  • 14. Tranchelet Pricing – Some Extremes Maximum concavity, maximum dispersion, idiosyncratic risk 3 6 3 6 3 6 Tranche notional [0-3%] equity tranche  [0-1%], [1-2%] and [2-3%] tranchelets Minimum concavity, systemic risk effect 1,201 2-3% 1,201 1-2% 1,201 0-1% 61 2-3% 1,214 1-2% 3,090 0-1%
  • 15.
  • 17.
  • 18. Difficulty in fitting the market Implied Compound Correlation
  • 19. The Toothpaste Tube Analogy Super Senior 22-100% Equity 0-3% 3-6% 6-9% Index [0-100%] 12-22% 9-12% Index = Sum of tranches [22-100%] = [0-100%] – [0-3%] – [3-6%] – [6-9%] – [9-12%] – [12-22%]
  • 20.
  • 21.
  • 22. Bespoke Tranches – Normalisation Methods If the portfolio is more risky then an equivalent tranche is more risky How to we adjust the correlation curve we use to account for this? Index portfolio Bespoke portfolio Expected loss Tranche
  • 23. Bespoke Tranches – Normalisation Methods (II)
  • 24.
  • 26. Index Correlation – off the run tranches Index rolls give us more maturity information detach maturity correlation CDX.5 CDX.6 CDX.7 CDX.8 CDX.5 CDX.6 CDX.7 CDX.8 CDX.5 CDX.6 CDX.7 CDX.8 5Y 7Y 10Y “ Base Correlation” Surface CDX.4 CDX.4 CDX.4
  • 27. Index Correlation – HY/IG Different indices may provide complimentary information [15-30%] [25-35%] [10-15%] [15-25%] [7-10%] [10-15%] [3-7%] [0-10%] [0-3%] CDX HY CDX IG
  • 28. Index Correlation – HY/IG (II) Test out your pricing method 3% 7% 10% 15% 30% IG HY 3% 35% 25% 15% 10% IG HY
  • 29. Index Correlation – HY/IG (III) Obvious implications for Barbell portfolios [15-30%] [25-35%] [10-15%] [15-25%] [7-10%] [10-15%] [3-7%] [0-10%] [0-3%] CDX HY CDX IG
  • 30.
  • 31.
  • 32. The Challenges and Solutions Tranchelet pricing Bespoke Pricing Forward Starting Loss Surface Construction Tranche Options Enhanced Base Correlation Methods Implied Copula Approach Stochastic Intensity Models Dynamic Loss Models There is no one to one mapping in the above  Tranche options pricing may be very sensitive to tranchelet pricing “ Exotic” CDOs
  • 33.