Lattice Option Pricing By Multidimensional Interpolation
AbstractThis note proposes a method for pricing high-dimensional American options based on modern methods of multidimensional interpolation. The method allows using sparse grids and thus mitigates the curse of dimensionality. A framework of the pricing algorithm and the corresponding interpolation methods are discussed, and a theorem is demonstrated that suggests that the pricing method is less vulnerable to the curse of dimensionality. The method is illustrated by an application to rainbow options and compared to Least Squares Monte Carlo and other benchmarks.
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Bibliographic InfoPaper provided by EconWPA in its series Finance with number 0309003.
Length: 17 pages
Date of creation: 07 Sep 2003
Date of revision: 29 Oct 2004
Note: Type of Document - pdf; prepared on IBM PC ; pages: 17; figures: included
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interpolation; option pricing;
Other versions of this item:
- Vladislav Kargin, 2005. "Lattice Option Pricing By Multidimensional Interpolation," Mathematical Finance, Wiley Blackwell, vol. 15(4), pages 635-647.
- G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
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- Longstaff, Francis A & Schwartz, Eduardo S, 2001. "Valuing American Options by Simulation: A Simple Least-Squares Approach," University of California at Los Angeles, Anderson Graduate School of Management qt43n1k4jb, Anderson Graduate School of Management, UCLA.
- Cox, John C. & Ross, Stephen A. & Rubinstein, Mark, 1979. "Option pricing: A simplified approach," Journal of Financial Economics, Elsevier, vol. 7(3), pages 229-263, September.
- Longstaff, Francis A & Schwartz, Eduardo S, 2001. "Valuing American Options by Simulation: A Simple Least-Squares Approach," Review of Financial Studies, Society for Financial Studies, vol. 14(1), pages 113-47.
- Madan, Dilip B & Milne, Frank & Shefrin, Hersh, 1989.
"The Multinomial Option Pricing Model and Its Brownian and Poisson Limits,"
Review of Financial Studies,
Society for Financial Studies, vol. 2(2), pages 251-65.
- Frank Milne & Dilip Madan & Hersh Shefrin, 1990. "The Multinomial Option Pricing Model and Its Brownian and Poisson Limits," Working Papers 1162, Queen's University, Department of Economics.
- Boyle, Phelim P & Evnine, Jeremy & Gibbs, Stephen, 1989. "Numerical Evaluation of Multivariate Contingent Claims," Review of Financial Studies, Society for Financial Studies, vol. 2(2), pages 241-50.
- Barraquand, Jérôme & Martineau, Didier, 1995. "Numerical Valuation of High Dimensional Multivariate American Securities," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(03), pages 383-405, September.
- Bardia Kamrad & Peter Ritchken, 1991. "Multinomial Approximating Models for Options with k State Variables," Management Science, INFORMS, vol. 37(12), pages 1640-1652, December.
- Broadie, Mark & Glasserman, Paul, 1997. "Pricing American-style securities using simulation," Journal of Economic Dynamics and Control, Elsevier, vol. 21(8-9), pages 1323-1352, June.
- Boyle, Phelim P., 1988. "A Lattice Framework for Option Pricing with Two State Variables," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 23(01), pages 1-12, March.
- Denis Belomestny & Grigori N. Milstein & Vladimir Spokoiny, 2006.
"Regression methods in pricing American and Bermudan options using consumption processes,"
SFB 649 Discussion Papers
SFB649DP2006-051, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Denis Belomestny & Grigori Milstein & Vladimir Spokoiny, 2009. "Regression methods in pricing American and Bermudan options using consumption processes," Quantitative Finance, Taylor & Francis Journals, vol. 9(3), pages 315-327.
- François-Heude, Alain & Yousfi, Ouidad, 2013. "A Generalization of Gray and Whaley's Option," MPRA Paper 47908, University Library of Munich, Germany, revised 30 Jun 2013.
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