Skip to main content

A Discrete-Time European Options Model under Uncertainty in Financial Engineering

  • Conference paper
Multi-Objective Programming and Goal Programming

Part of the book series: Advances in Soft Computing ((AINSC,volume 21))

Abstract

A discrete-time European options model with uncertainty of both randomness and fuzziness is presented, by introducing fuzzy logic to the stochastic financial model. The randomness and fuzziness in the systems are evaluated by both probabilistic expectation and fuzzy expectation, taking account of buyer’s/writer’s subjective demand goal. Fuzzy prices of European call/put options with uncertainty are given and their valuation and properties are discussed under a reasonable assumption. The meaning and properties of buyer’s/writer’s permissible range of expected prices are discussed in a numerical example.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Bellman, R. E., Zadeh, L. A. (1970) Decision-making in a fuzzy environment. Management Sci. Ser. B. 17, 141–164

    MathSciNet  Google Scholar 

  2. Klir, G. J., Yuan, B., (1995) Fuzzy Sets and Fuzzy Logic: Theory and Applications. Prentice-Hall, London

    MATH  Google Scholar 

  3. Pliska, S.R. (1997) Introduction to Mathematical Finance: Discrete-Time Models. Blackwell Publ., New York.

    Google Scholar 

  4. Puri, M. L., Ralescu, D. A. (1986) Fuzzy random variables. J. Math. Anal. Appl. 114, 409–422

    Article  MathSciNet  MATH  Google Scholar 

  5. Ross, S.M. (1999) An Introduction to Mathematical Finance. Cambridge Univ. Press, Cambridge.

    Google Scholar 

  6. Sugeno, M. (1974) Theory of fuzzy integrals and its applications. Doctoral Thesis, Tokyo Institute of Technology

    Google Scholar 

  7. Yoshida, Y. (1996) An optimal stopping problem in dynamic fuzzy systems with fuzzy rewards. Computers Math. Appl. 32, 17–28.

    MATH  Google Scholar 

  8. Yoshida, Y. The valuation of European options in uncertain environment. Europ. J. Oper. Res., to appear.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yoshida, Y. (2003). A Discrete-Time European Options Model under Uncertainty in Financial Engineering. In: Multi-Objective Programming and Goal Programming. Advances in Soft Computing, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36510-5_60

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-36510-5_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00653-4

  • Online ISBN: 978-3-540-36510-5

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics