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Title: On accurate and efficient valuation of financial contracts under models with jumps
Author: Stolte, Johannes
Awarding Body: Imperial College London
Current Institution: Imperial College London
Date of Award: 2013
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The aim of this thesis is to develop efficient valuation methods for nancial contracts under models with jumps and stochastic volatility, and to present their rigorous mathematical underpinning. For efficient risk management, large books of exotic options need to be priced and hedged under models that are exible enough to describe the observed option prices at speeds close to real time. To do so, hundreds of vanilla options, which are quoted in terms of implied volatility, need to be calibrated to market prices quickly and accurately on a regular basis. With this in mind we develop efficient methods for the evaluation of (i) vanilla options, (ii) implied volatility and (iii) common path-dependent options. Firstly, we derive a new numerical method for the classical problem of pricing vanilla options quickly in time-changed Brownian motion models. The method is based on ra- tional function approximations of the Black-Scholes formula. Detailed numerical results are given for a number of widely used models. In particular, we use the variance-gamma model, the CGMY model and the Heston model without correlation to illustrate our results. Comparison to the standard fast Fourier option pricing method with respect to speed appears to favour our newly developed method in the cases considered. Secondly, we use this method to derive a procedure to compute, for a given set of arbitrage-free European call option prices, the corresponding Black-Scholes implied volatility surface. In order to achieve this, rational function approximations of the inverse of the Black-Scholes formula are used. We are thus able to work out implied volatilities more efficiently than is possible using other common methods. Error estimates are presented for a wide range of parameters. Thirdly, we develop a new Monte Carlo variance reduction method to estimate the expectations of path-dependent functionals, such as first-passage times and occupation times, under a class of stochastic volatility models with jumps. The method is based on a recursive approximation of the rst-passage time probabilities and expected oc- cupation times of Levy bridge processes that relies in part on a randomisation of the time- parameter. We derive the explicit form of the recursive approximation in the case of bridge processes corresponding to the class of Levy processes with mixed-exponential jumps, and present a highly accurate numerical realisation. This class includes the linear Brownian motion, Kou's double-exponential jump-di usion model and the hyper-exponential jump- difusion model, and it is dense in the class of all Levy processes. We determine the rate of convergence of the randomisation method and con rm it numerically. Subsequently, we combine the randomisation method with a continuous Euler-Maruyama scheme to es- timate path-functionals under stochastic volatility models with jumps. Compared with standard Monte Carlo methods, we nd that the method is signi cantly more efficient. To illustrate the efficiency of the method, it is applied to the valuation of range accruals and barrier options.
Supervisor: Pistorius, Martijn Sponsor: Engineering and Physical Sciences Research Council ; Deutscher Akademischer Austauschdienst
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available