Managing Volatility Risk: An Application of Karhunen-Lo\`eve Decomposition and Filtered Historical Simulation
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- Christopherson, Jon A & Ferson, Wayne E & Glassman, Debra A, 1998.
"Conditioning Manager Alphas on Economic Information: Another Look at the Persistence of Performance,"
The Review of Financial Studies, Society for Financial Studies, vol. 11(1), pages 111-142.
- Jon A. Christopherson & Wayne E. Ferson & Debra A. Glassman, 1996. "Conditioning Manager Alphas on Economic Information: Another Look at the Persistence of Performance," NBER Working Papers 5830, National Bureau of Economic Research, Inc.
- Rama Cont & Jose da Fonseca, 2002. "Dynamics of implied volatility surfaces," Quantitative Finance, Taylor & Francis Journals, vol. 2(1), pages 45-60.
- Bakshi, Gurdip & Cao, Charles & Chen, Zhiwu, 2000.
"Do Call Prices and the Underlying Stock Always Move in the Same Direction?,"
The Review of Financial Studies, Society for Financial Studies, vol. 13(3), pages 549-584.
- Charles Quanwei Cao & Gurdip S. Bakshi & Zhiwu Chen, 1999. "Do Call Prices and the Underlying Stock Always Move in the Same Direction?," Yale School of Management Working Papers ysm125, Yale School of Management.
- Paul H. Kupiec, 1995. "Techniques for verifying the accuracy of risk measurement models," Finance and Economics Discussion Series 95-24, Board of Governors of the Federal Reserve System (U.S.).
- Giovanni Barone‐Adesi & Kostas Giannopoulos & Les Vosper, 1999. "VaR without correlations for portfolios of derivative securities," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(5), pages 583-602, August.
- R. Cont, 2001. "Empirical properties of asset returns: stylized facts and statistical issues," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 223-236.
- Philippe Artzner & Freddy Delbaen & Jean‐Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228, July.
- Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
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This paper has been announced in the following NEP Reports:- NEP-RMG-2017-10-08 (Risk Management)
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