Approximate Derivative Pricing for Large Classes of Homogeneous Assets with Systematic Risk
AbstractWe consider a homogeneous class of assets, whose returns are driven by an unobservable factor representing systematic risk. We derive approximated pricing formulas for the future factor values and their proxies, when the size n of the class is large. Up to order 1/n, these closed-form approximations involve well-chosen summary statistics of the basic asset returns but not the current and lagged factor values. The potential of the closed-form approximation formulas seems quite large, especially for credit risk analysis, which considers large portfolios of individual loans or corporate bonds, and for longevity risk analysis, which involves large portfolios of life insurance contracts. Copyright The Author 2011. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: firstname.lastname@example.org., Oxford University Press.
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Bibliographic InfoArticle provided by Society for Financial Econometrics in its journal Journal of Financial Econometrics.
Volume (Year): 9 (2011)
Issue (Month): 2 (Spring)
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- Patrick GAGLIARDINI & Christian GOURIEROUX, 2010. "Approximate Derivative Pricing for Large Classes of Homogeneous Assets with Systematic Risk," Working Papers 2010-07, Centre de Recherche en Economie et Statistique.
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- Gordy, Michael B. & Marrone, James, 2012.
"Granularity adjustment for mark-to-market credit risk models,"
Journal of Banking & Finance,
Elsevier, vol. 36(7), pages 1896-1910.
- Michael B. Gordy & James Marrone, 2010. "Granularity adjustment for mark-to-market credit risk models," Finance and Economics Discussion Series 2010-37, Board of Governors of the Federal Reserve System (U.S.).
- M. B. Gordy & E. Lutkebohmert, 2013. "Granularity Adjustment for Regulatory Capital Assessment," International Journal of Central Banking, International Journal of Central Banking, vol. 9(3), pages 38-77, September.
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