Application of stochastic volatility models with jumps to BIST options

Rahiminejat, Monireh
This thesis gives a derivation of call and put option pricing formulas under stochastic volatility models with jumps; the precise model is a combination of Merton and Heston models. The derivation is based on the computation of the characteristic function of the underlying process. We use the derived formulas to fit the model to options written on two stocks in the BIST30 index covering the first two months of 2017. The fit is done by minimizing a weighted $L_2$ distance between the observed prices and the model prices. 


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In this thesis, Dupire local volatility model is studied in details as a means of modeling the volatility structure of a financial asset. In this respect, several forms of local volatility equations have been derived: Dupire's local volatility, local volatility as conditional expectation, and local volatility as a function of implied volatility. We have proven the main results of local volatility model discussed in the literature in details. In addition, we have also proven the local volatility model under ...
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We employ Malliavin calculus techniques to compute the Delta of European type options in the presence of stochastic volatility. We obtain a general formula for the Malliavin weight and apply the derived formula to the well known models of Stein-Stein and Heston in order to show the numerical accuracy and efficiency of our approach.
Citation Formats
M. Rahiminejat, “Application of stochastic volatility models with jumps to BIST options,” M.S. - Master of Science, Middle East Technical University, 2017.