• DocumentCode
    2082830
  • Title

    A fuzzy set approach on pricing american put options on Euribor futures

  • Author

    Yu, Xiaojian ; Fan, Min

  • Author_Institution
    Res. Center of Financial Eng., South China Univ. of Technol., Guangzhou, China
  • Volume
    1
  • fYear
    2008
  • fDate
    17-19 Nov. 2008
  • Firstpage
    435
  • Lastpage
    439
  • Abstract
    A fuzzy set approach is applied to price American put options on Euribor futures in this paper. Since volatility in any option pricing model should be the future volatility, it is imprecisely to substitute history volatility or implied volatility for future volatility. We introduce an uncertainty degree to fuzzificate the volatility parameter of the option pricing model into a triangular fuzzy number. Applying the fuzzy set theory, we calculate the risk-neutral probabilities, which 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. At last, an empirical research is studied to compare the actual price of put options on 3-month Euribor futures with the theory price of both fuzzy and precision binomial option pricing model. The empirical research results indicate that fuzzy pricing model is better than precision pricing model at the low strike prices, and the low boundary of the fuzzy price is useful to price the American put options on 3-month Euribor futures.
  • Keywords
    fuzzy set theory; pricing; probability; share prices; Euribor futures; fuzzy set theory; option pricing; price American put options; risk-neutral probabilities; triangular fuzzy number; volatility; Cost accounting; Economic indicators; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Intelligent systems; Knowledge engineering; Pricing; Random variables; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-2196-1
  • Electronic_ISBN
    978-1-4244-2197-8
  • Type

    conf

  • DOI
    10.1109/ISKE.2008.4730969
  • Filename
    4730969