• DocumentCode
    1133924
  • Title

    An Agent-Based Approach to Option Pricing Anomalies

  • Author

    Suzuki, Kyoko ; Shimokawa, Tetsuya ; Misawa, Tadanobu

  • Author_Institution
    Grad. Sch. of Econ., Univ. of Tokyo, Tokyo
  • Volume
    13
  • Issue
    1
  • fYear
    2009
  • Firstpage
    19
  • Lastpage
    32
  • 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 study can be considered as an attempt to integrate the behavioral financial theory and the option pricing theory by using the agent-based approach.
  • Keywords
    artificial intelligence; decision making; pricing; psychology; share prices; statistical analysis; agent-based approach; behavioral financial theory; decision-making; option pricing anomalies; psychological studies; skewness premium; volatility smile; Autocorrelation; Consumer behavior; Decision making; Face detection; Pricing; Psychology; Shape; Uncertainty; Implied volatility smile; option pricing; prospect theory; skewness premium;
  • fLanguage
    English
  • Journal_Title
    Evolutionary Computation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1089-778X
  • Type

    jour

  • DOI
    10.1109/TEVC.2008.2011407
  • Filename
    4769013