DocumentCode :
120866
Title :
Pricing window barrier options with a hybrid stochastic-local volatility model
Author :
Yu Tian ; Zili Zhu ; Lee, Gene ; Lo, Tank ; Klebaner, Fima ; Hamza, Kais
Author_Institution :
Sch. of Math. Sci., Monash Univ., Clayton, VIC, Australia
fYear :
2014
fDate :
27-28 March 2014
Firstpage :
370
Lastpage :
377
Abstract :
In this paper, we present our research on pricing window barrier options under a hybrid stochastic-local volatility (SLV) model in the foreign exchange (FX) market. Due to the hybrid effect of the local volatility and stochastic volatility components of the model, the SLV model can reproduce the market implied volatility surface, and can improve the pricing accuracy for exotic options at the same time. In this paper, numerical techniques such as Monte Carlo and finite difference methods for standard exotic barrier options under the SLV model are extended to pricing window barrier options and numerical results produced by the SLV model are used to examine the performance and accuracy of the model for pricing window barrier options.
Keywords :
Monte Carlo methods; finite difference methods; foreign exchange trading; pricing; share prices; Monte Carlo method; SLV model; exotic barrier options; finance industry; finite difference method; foreign exchange market; hybrid stochastic-local volatility model; pricing accuracy improvement; pricing window barrier options; Calibration; Mathematical model; Numerical models; Pricing; Radio frequency; Standards; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Financial Engineering & Economics (CIFEr), 2104 IEEE Conference on
Conference_Location :
London
Type :
conf
DOI :
10.1109/CIFEr.2014.6924097
Filename :
6924097
Link To Document :
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