• DocumentCode
    1961524
  • Title

    The Valuation of American Put Option Based on Fuzzy Techniques

  • Author

    Yu, Xiaojian ; Ren, Zhaozhang

  • Author_Institution
    Res. Center of Financial Eng., South China Univ. of Technol., Guangzhou
  • Volume
    3
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    750
  • Lastpage
    753
  • Abstract
    Riskless interest rate and volatility are two important variables in option pricing model, but are hard to be estimated precisely. The concept of fuzziness is used to describe these variables in this paper. We apply fuzzy set theory to the American put option valuation and extend the fuzzy option pricing model by introducing riskless interest rate and volatility as two trapezoidal fuzzy numbers. The risk neutral probabilities are obtained as fuzzy numbers. Under fuzzy probabilities, we perform the risk neutral valuation of the American put option in a multi period binomial model. The price of the option at each step is expressed by a trapezoidal fuzzy number. Applying the binomial option pricing model, we illustrate a numerical example how to valuate the American put option based on fuzzy techniques. With a confidence level, the financial investors can shrink the option price interval and make the invest decision.
  • Keywords
    decision making; economic indicators; fuzzy set theory; investment; pricing; probability; American put option valuation; binomial option pricing model; fuzzy option pricing model; fuzzy probabilities; fuzzy set theory; invest decision making; multiperiod binomial model; risk neutral probabilities; risk neutral valuation; riskless interest rate; trapezoidal fuzzy numbers; Computer science; Cost accounting; Economic indicators; Fuzzy set theory; Fuzzy sets; Pricing; Random variables; Software engineering; Uncertainty; American option; binomial model; fuzzy number; fuzzy set; option pricing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.581
  • Filename
    4722451