Hedging & Pricing of Options using least squares through simulation - Chitlangi, Ravindra
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The enormous growth of derivatives markets necessitates the pricing and hedging of derivative contracts accurately and efficiently. This work extends the pricing approach introduced by Longstaff and Schwartz to a stochastic volatility model, namely the Heston Model. The method employed is also used to compute the Option Greeks extending the approach of the paper Hedging using simulation: a least squares approach by Tebaldi. A number of options are considered ranging from plain vanilla to exotics such as Power put and Binary (Asset-or-Nothing) put options in the Black-Scholes model. Finally the…mehr

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Produktbeschreibung
The enormous growth of derivatives markets necessitates the pricing and hedging of derivative contracts accurately and efficiently. This work extends the pricing approach introduced by Longstaff and Schwartz to a stochastic volatility model, namely the Heston Model. The method employed is also used to compute the Option Greeks extending the approach of the paper Hedging using simulation: a least squares approach by Tebaldi. A number of options are considered ranging from plain vanilla to exotics such as Power put and Binary (Asset-or-Nothing) put options in the Black-Scholes model. Finally the methodology is applied to the Heston Model wherein a plain vanilla European call is priced and hedged and the plain vanilla American put option is priced. The price as well as Option Greeks are compared against well-known procedures used in the industry today. Researchers as well as academicians concerned with hedging of derivative contracts would find this work useful.
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Autorenporträt
Ravindra Chitlangi is an MBA from IIM Ahmedabad, M.Sc. (International Management) from the University of Bocconi, Milan and a B. Tech (Mechanical) from VJTI, Mumbai. He works in the financial markets division of a leading Indian Private Sector Bank. In his spare time he enjoys playing and programming computer games and reading about astrophysics.