RESEARCH ARTICLE

Numerical methods for backward Markov chain driven Black-Scholes option pricing

  • Chi Yan AU ,
  • Eric S. FUNG ,
  • Leevan LING
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  • Department of Mathematics, Hong Kong Baptist University, Hong Kong, China

Received date: 06 May 2010

Accepted date: 18 Oct 2010

Published date: 01 Feb 2011

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg

Abstract

The drift, the risk-free interest rate, and the volatility change over time horizon in realistic financial world. These frustrations break the necessary assumptions in the Black-Scholes model (BSM) in which all parameters are assumed to be constant. To better model the real markets, a modified BSM is proposed for numerically evaluating options price–changeable parameters are allowed through the backward Markov regime switching. The method of fundamental solutions (MFS) is applied to solve the modified model and price a given option. A series of numerical simulations are provided to illustrate the effect of the changing market on option pricing.

Cite this article

Chi Yan AU , Eric S. FUNG , Leevan LING . Numerical methods for backward Markov chain driven Black-Scholes option pricing[J]. Frontiers of Mathematics in China, 2011 , 6(1) : 17 -33 . DOI: 10.1007/s11464-010-0089-2

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