Agent-based approach to option pricing anomalies

Kyoko Suzuki*, Tetsuya Shimokawa, Tadanobu Misawa

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Psychological studies on decision making under uncertainty, which have been inspired by Kahneman and Tversky's study, have attracted considerable interest in financial research as key factors to solve anomalies that cannot be explained by the traditional models. Recently, we proposed an agent-based prospect theoretical model and demonstrated that the loss-aversion feature of investors is capable of explaining a large number of financial stylized facts. This paper aims to extend the previous work to the field of option pricing. Two important anomalies in the field-the implied volatility smile and the skewness premium-will be analyzed. This paper can be considered as an attempt to integrate the behavioral financial theory and the option pricing theory by using the agent-based approach.

Original languageEnglish
Pages (from-to)959-972
Number of pages14
JournalIEEE Transactions on Evolutionary Computation
Volume13
Issue number5
DOIs
StatePublished - 2009

Keywords

  • Implied volatility smile
  • Option pricing
  • Prospect theory
  • Skewness premium

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Computational Theory and Mathematics

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