Skip to main content

Entropy Model of a Fuzzy Random Portfolio Selection Problem

  • Conference paper
  • 1599 Accesses

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 15))

Abstract

This paper considers an entropy model of portfolio selection problem with fuzzy random variables to future returns. Since standard mean-variance portfolio models suffer from some shortcomings, the entropy is introduced as a risk measure instead of variances to overcome the shortcomings. Furthermore, introducing the sum of entropy to each portfolio as well as the entropy of fuzzy random variables, the previous entropy-based fuzzy random portfolio selection problem is extended, the exact optimal portfolio is explicitly obtained using nonlinear programming such as Karush-Kuhn-Tucker condition.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Al-sharhan, S., Karray, S., Basir, O.: Fuzzy entropy: a brief survey. In: IEEE Proceedings of the 10th International Conference on Fuzzy Systems, vol. 3, pp. 1135–1138 (2001)

    Google Scholar 

  2. Bawa, V.S., Lindenberg, E.B.: Capital market equilibrium in a mean-lower partial moment framework. Journal of Financial Economics 5, 189–200 (1977)

    Article  Google Scholar 

  3. Campos, L.M., Gonzalez, A.: A subjective approach for ranking fuzzy numbers. Fuzzy Sets and Systems 29, 143–153 (1989)

    Google Scholar 

  4. Carlsson, C., Fuller, R.: Fuzzy Reasoning in Decision Making and Optimization. Physica Verlag (2002)

    Google Scholar 

  5. Elton, E.J., Gruber, M.J.: Modern Portfolio Theory and Investment Analysis. Wiley, New York (1995)

    Google Scholar 

  6. Gil, M.A., Lopez-Diaz, M.: The λ-average value and the fuzzy expectation of a fuzzy random variable. Fuzzy Sets and Systems 99, 347–352 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  7. Inuiguchi, M., Ramik, J.: Possibilisitc linear programming: A brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem. Fuzzy Sets and Systems 111, 3–28 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  8. Katagiri, H., Ishii, H., Sakawa, M.: On fuzzy random linear knapsack problems. Central European Journal of Operations Research 12, 59–70 (2004)

    MathSciNet  MATH  Google Scholar 

  9. Katagiri, H., Sakawa, M., Ishii, H.: A study on fuzzy random portfolio selection problems using possibility and necessity measures. Scientiae Mathematicae Japonocae 65, 361–369 (2005)

    MathSciNet  Google Scholar 

  10. Konno, H., Yamazaki, H.: Mean-absolute deviation portfolio optimization model and its applications to Tokyo Stock Market. Management Science 37, 519–531 (1991)

    Article  Google Scholar 

  11. Konno, H., Shirakawa, H., Yamazaki, H.: A mean-absolute deviation-skewness portfolio optimization model. Annals of Operations Research 45, 205–220 (1993)

    Article  MathSciNet  MATH  Google Scholar 

  12. Kwakernaak, H.: Fuzzy random variable-I. Information Sciences 15, 1–29 (1978)

    Article  MathSciNet  MATH  Google Scholar 

  13. Leon, R.T., Liern, V., Vercher, E.: Validity of infeasible portfolio selection problems: fuzzy approach. European Journal of Operational Researches 139, 178–189 (2002)

    Article  MATH  Google Scholar 

  14. Markowitz, H.M.: Portfolio Selection. The Journal of Finance 7(1), 77–91 (1952)

    Google Scholar 

  15. Nieradka, G., Butkiewicz, B.S.: A Method for Automatic Membership Function Estimation Based on Fuzzy Measures. In: Melin, P., Castillo, O., Aguilar, L.T., Kacprzyk, J., Pedrycz, W. (eds.) IFSA 2007. LNCS (LNAI), vol. 4529, pp. 451–460. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  16. Philipatos, G.C., Wilson, C.J.: Entropy, market risk, and the selection of efficient portfolios. Applied Economics 4, 209–220 (1972)

    Article  Google Scholar 

  17. Popkov, A.Y.: Entropy model of the investment portfolio. Automation and Remote Control 67(9), 1518–1528 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  18. Puri, M.L., Ralescu, D.A.: Fuzzy random variables. Journal of Mathematical Analysis and Applications 114, 409–422 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  19. Rockafellar, R.T., Uryasev, S.: Optimization of conditional value-at-risk. Journal of Risk 2(3), 1–21 (2000)

    Google Scholar 

  20. Simonelli, M.R.: Indeterminacy in portfolio selection. European Journal of Operational Research 163, 170–176 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  21. Smimou, K., Bector, C.R., Jacoby, G.: A subjective assessment of approximate probabilities with a portfolio application. Research in International Business and Finance 21, 134–160 (2007)

    Article  Google Scholar 

  22. Tanaka, H., Guo, P.: Portfolio selection based on upper and lower exponential possibility distributions. European Journal of Operational Researches 114, 115–126 (1999)

    Article  MATH  Google Scholar 

  23. Tanaka, H., Guo, P., Turksen, I.B.: Portfolio selection based on fuzzy probabilities and possibility distributions. Fuzzy Sets and Systems 111, 387–397 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  24. Vercher, E., Bermudez, J.D., Segura, J.V.: Fuzzy portfolio optimization under downside risk measures. Fuzzy Sets and Systems 158, 769–782 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  25. Watada, J.: Fuzzy portfolio selection and its applications to decision making. Tatra Mountains Math. Pub. 13, 219–248 (1997)

    MathSciNet  MATH  Google Scholar 

  26. Xu, J., Zhou, X., DashWu, D.: Portfolio selection using λ mean and hybrid entropy. Annals of Operations Research 185, 213–229 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  27. Yang, J., Qiu, W.: A measure of risk and a decision-making model based on expected utility and entropy. European Journal of Operational Research 164, 792–799 (2004)

    Article  MathSciNet  Google Scholar 

  28. Zadeh, L.A.: Fuzzy Sets. Information and Control 8, 338–353 (1965)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Takashi Hasuike .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hasuike, T., Katagiri, H. (2012). Entropy Model of a Fuzzy Random Portfolio Selection Problem. In: Watada, J., Watanabe, T., Phillips-Wren, G., Howlett, R., Jain, L. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29977-3_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29977-3_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29976-6

  • Online ISBN: 978-3-642-29977-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics