Monte-Carlo Estimations of the Downside Risk of Derivative Portfolios
We simulate the performances of a standard derivatives portfolio to evaluate the relevance of benchmarking in terms of downside risk reduction. The simulation shows that benchmarking always leads to significantly more severe losses in average than those generated by letting the portfolio reach the end of a given horizon. Moreover, switching from a 0-correlation across underlyings to a very mild form of correlation significantly increases the probability of reaching the downside benchmark before maturity, whereas adding more correlation does not significantly increase this figure.
|Date of creation:||2007|
|Contact details of provider:|| Postal: Maynooth, Co. Kildare|
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- Boyle, Phelim & Broadie, Mark & Glasserman, Paul, 1997. "Monte Carlo methods for security pricing," Journal of Economic Dynamics and Control, Elsevier, vol. 21(8-9), pages 1267-1321, June.
- Jérôme Detemple & René Garcia & Marcel Rindisbacher, 2005. "Asymptotic Properties of Monte Carlo Estimators of Derivatives," Management Science, INFORMS, vol. 51(11), pages 1657-1675, November.
- Jun Liu & Francis A. Longstaff & Jun Pan, 2003.
"Dynamic Asset Allocation with Event Risk,"
Journal of Finance,
American Finance Association, vol. 58(1), pages 231-259, 02.
- Liu, Jun & Longstaff, Francis & Pan, Jun, 2001. "Dynamic Asset Allocation with Event Risk," University of California at Los Angeles, Anderson Graduate School of Management qt9fm6t5nb, Anderson Graduate School of Management, UCLA.
- Jun Liu & Francis A. Longstaff & Jun Pan, 2002. "Dynamic Asset Allocation With Event Risk," NBER Working Papers 9103, National Bureau of Economic Research, Inc.
- Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-291, March.
- Amos Tversky & Daniel Kahneman, 1979. "Prospect Theory: An Analysis of Decision under Risk," Levine's Working Paper Archive 7656, David K. Levine.
- Suleyman Basak & Alex Shapiro & Lucie Teplá, 2006. "Risk Management with Benchmarking," Management Science, INFORMS, vol. 52(4), pages 542-557, April.
- Basak, Suleyman & Shapiro, Alex & Teplá, Lucie, 2005. "Risk Management with Benchmarking," CEPR Discussion Papers 5187, C.E.P.R. Discussion Papers.
- Ning Du & David V. Budescu, 2005. "The Effects of Imprecise Probabilities and Outcomes in Evaluating Investment Options," Management Science, INFORMS, vol. 51(12), pages 1791-1803, December.
- Corwin Joy & Phelim P. Boyle & Ken Seng Tan, 1996. "Quasi-Monte Carlo Methods in Numerical Finance," Management Science, INFORMS, vol. 42(6), pages 926-938, June.
- Robert Jarrow & Feng Zhao, 2006. "Downside Loss Aversion and Portfolio Management," Management Science, INFORMS, vol. 52(4), pages 558-566, April. Full references (including those not matched with items on IDEAS)
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