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An analytical formula for pricing m-th to default swaps

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Abstract

The computational effort of pricing an m-th to default swap depends highly on the size n of the underlying basket. Usually, n different default times are modeled, but in fact the valuation only depends on the m-th smallest default time of this tuple. In this paper we attain an analytical formula for the distribution of this m-th default time. With the help of this distribution we simplify the valuation problem from an n-dimensional quadrature to a one-dimensional quadrature and break the curse of dimensionality. Applications of this modification are efficient pricing of m-th to default swaps, estimation of sensitivities and pricing of European max/min options.

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References

  1. Duffie, D., Singleton, K.J.: Credit Risk: Pricing, Measurement and Management. Princeton University Press, Princeton (2003)

    Google Scholar 

  2. Li, D.X.: On default correlation: a copula function approach. J. Fixed Income 9(4), 43–54 (2000)

    Article  Google Scholar 

  3. Embrechts, P., Lindskog, F., McNeil, A.: Modelling dependence with copulas and applications to risk management. In: Rachev, S.T. (ed.) Handbook of Heavy Tailed Distributions in Finance. Elsevier, Amsterdam (2003)

    Google Scholar 

  4. Marshall, A.W., Olkin, I.: Families of multivariate distributions. J. Am. Stat. Assoc. 83(403), 834–841 (1988)

    Article  MathSciNet  MATH  Google Scholar 

  5. Hofert, M.: Sampling archimedean copulas. Comput. Stat. Data Anal. 52(12), 5163–5174 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  6. Joshi, M.S., Kainth, D.: Rapid and accurate development of prices and Greeks for th to default credit swaps in the Li model. Quant. Finance 4(3), 266–275 (2004)

    Article  MathSciNet  Google Scholar 

  7. Chen, Z., Glasserman, P.: Fast pricing of basket default swaps. Oper. Res. 56(2), 286–303 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  8. Schröter, A., Heider, P.: Numerical methods to quantify the models risk of basket default swaps. Preprint. http://www.mi.uni-koeln.de/~aschroet/preprint.pdf (2010)

  9. Schönbucher, P.J.: Credit Derivatives Pricing Models: Models, Pricing and Implementation. Wiley, New York (2003)

    Google Scholar 

  10. Sklar, A.: Random variables, joint distribution functions and copulas. Kybernetika 9(6), 449–460 (1973)

    MathSciNet  MATH  Google Scholar 

  11. Nelsen, R.B.: An Introduction to Copulas. Springer, Berlin (2006)

    MATH  Google Scholar 

  12. Takacs, L.: On the method of inclusion and exclusion. J. Am. Stat. Assoc. 62(317), 102–113 (1967)

    MathSciNet  MATH  Google Scholar 

  13. Gallier, J.: Discrete Mathematics. Springer, Berlin (2011)

    Book  MATH  Google Scholar 

  14. Cheney, W., Kincaid, D.: Numerical Mathematics and Computing. Brooks/Cole, Pacific Grove (2007)

    Google Scholar 

  15. Abramowitz, M., Stegun, I.A.: Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. Dover, New York (1964)

    MATH  Google Scholar 

  16. Genz, A., Bretz, F.: Computation of Multivariate Normal and t Probabilities. Springer, Berlin (2009)

    Book  MATH  Google Scholar 

  17. Stoer, J., Bulirsch, R.: Introduction to Numerical Analysis. Springer, Berlin (2002)

    MATH  Google Scholar 

  18. Bodie, Z., Kane, A., Marcus, A.J.: Investments, 8th edn. McGraw-Hill, New York (2009)

    Google Scholar 

  19. Shampine, L.F.: Matlab program for quadrature in 2d. Appl. Math. Comput. 202(1), 266–274 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  20. Shampine, L.F.: Vectorized adaptive quadrature in Matlab. J. Comput. Appl. Math. 211(2), 131–140 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  21. Glasserman, P.: Monte Carlo Methods in Financial Engineering. Springer, Berlin (2004)

    MATH  Google Scholar 

  22. Black, F., Scholes, M.: The pricing of options and corporate liabilities. J. Polit. Econ. 81(3), 637–654 (1973)

    Article  Google Scholar 

  23. Seydel, R.U.: Tools for Computational Finance. Springer, Berlin (2009)

    MATH  Google Scholar 

  24. Haug, E.G.: The Complete Guide to Option Pricing Formulas. McGraw-Hill, New York (2006)

    Google Scholar 

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Correspondence to Alexander Schröter.

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Schröter, A., Heider, P. An analytical formula for pricing m-th to default swaps. J. Appl. Math. Comput. 41, 229–255 (2013). https://doi.org/10.1007/s12190-012-0589-1

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  • DOI: https://doi.org/10.1007/s12190-012-0589-1

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