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文章基本信息

  • 标题:Markov Chain applications to non parametric option pricing theory
  • 作者:Sergio Ortobelli ; Gaetano Iaquinta
  • 期刊名称:International Journal of Computer Science and Network Security
  • 印刷版ISSN:1738-7906
  • 出版年度:2008
  • 卷号:8
  • 期号:6
  • 页码:199-208
  • 出版社:International Journal of Computer Science and Network Security
  • 摘要:In this paper we propose to use a Markov chain in order to price contingent claims. In particular, we describe a non parametric markovian approach to price American and European options. First, we discuss the risk neutral valuation of the non parametric approach. Secondly, we examine the problems of the computational complexity and of the stability with respect to the number of the states of the Markov chain. Finally, we propose an ex post comparison between the Markovian model and the Black and Scholes one.
  • 关键词:Markov Chain; Risk Neutral Valuation; state dependent valuation; state independent price.
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