Skip to main content
Log in

Mean-reverting stock model with floating interest rate in uncertain environment

  • Published:
Fuzzy Optimization and Decision Making Aims and scope Submit manuscript

Abstract

As an application of uncertainty theory in the field of finance, uncertain finance is playing a more and more important role in solving the financial problems. This paper proposes a mean-reverting stock model with floating interest rate to investigate the uncertain financial market. The European option and American option pricing formulas of the stock model are derived by using the Yao–Chen formula. Besides, some numerical algorithms are designed to compute the prices of these options based on the pricing formulas.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  • Black, F., & Scholes, M. (1973). The pricing of options and corporate liabilities. Journal of Political Economy, 81, 637–654.

    Article  MathSciNet  MATH  Google Scholar 

  • Chen, X. (2011). American option pricing formula for uncertain financial market. International Journal of Operations Research, 8(2), 32–37.

    MathSciNet  Google Scholar 

  • Chen, X., & Gao, J. (2013). Uncertain term structure model for interest rate. Soft Computing, 17(4), 597–604.

    Article  MATH  Google Scholar 

  • Chen, X., & Liu, B. (2010). Existence and uniqueness theorem for uncertain differential equations. Fuzzy Optimization and Decision Making, 9(1), 69–81.

    Article  MathSciNet  MATH  Google Scholar 

  • Chen, X., Liu, Y., & Ralescu, D. A. (2013). Uncertain stock model with periodic dividends. Fuzzy Optimization and Decision Making, 12(1), 111–123.

    Article  MathSciNet  Google Scholar 

  • Ji, X. Y., & Zhou, J. (2015). Option pricing for an uncertain stock model with jumps. Soft Computing, 19(11), 3323–3329.

    Article  MATH  Google Scholar 

  • Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica: Journal of the Econometric Society, 47(2), 263–291.

    Article  MATH  Google Scholar 

  • Liu, B. (2007). Uncertainty theory (2nd ed.). Berlin: Springer.

    MATH  Google Scholar 

  • Liu, B. (2008). Fuzzy process, hybrid process and uncertain process. Journal of Uncertain Systems, 2(1), 3–16.

    Google Scholar 

  • Liu, B. (2009). Some research problems in uncertainty theory. Journal of Uncertain Systems, 3(1), 3–10.

    Google Scholar 

  • Liu, B. (2010). Uncertainty theory: A branch of mathematics for modeling human uncertainty. Berlin: Springer.

  • Liu, B. (2013). Toward uncerain finance theory. Journal of Uncertainty Analysis and Application, 1, Article 1.

  • Liu, B. (2014). Uncertainty distribution and independence of uncertain process. Fuzzy Optimization and Decision Making, 13(3), 259–271.

    Article  MathSciNet  Google Scholar 

  • Liu, Y., Chen, X., & Ralescu, D. A. (2015). Uncetain currency model and currency option pricing. International Journal of Intelligent Systems, 30(1), 40–51.

    Article  Google Scholar 

  • Peng, J., & Yao, K. (2010). A new option pricing model for stocks in uncertainty markets. International Journal of Operations Research, 7(4), 213–224.

    Google Scholar 

  • Wang, X., & Ning, Y. F. (2017). An uncertain currency model with floating interest rates. http://orsc.edu.cn/online/150721.

  • Wang, X., Ning, Y. F., Moughal, T. A., & Chen, X. M. (2015). Adams–Simpson method for solving uncertain differential equation. Applied Mathematics and Computation, 271, 209–219.

    Article  MathSciNet  Google Scholar 

  • Yang, X. F., & Ralescu, D. A. (2015). Adams method for solving uncertain differential equations. Applied Mathematics and Computation, 270, 993–1003.

    Article  MathSciNet  Google Scholar 

  • Yang, X. F., & Shen, Y. Y. (2015) Runge–Kutta method for solving uncertain differential equations. Journal of Uncertainty Analysis and Applications, 3, Aritcle 17.

  • Yao, K. (2013). Extreme values and integral of solution of uncertain differential equations. Journal of Uncertainty Analysis and Applications, 1, Article 2.

  • Yao, K. (2015). Uncertain contour process and its application in stock model with floating interest rate. Fuzzy Optimization and Decision Making, 14(4), 399–424.

    Article  MathSciNet  Google Scholar 

  • Yao, K., & Chen, X. (2013). A numerical method for solving uncertain differential equations. Journal of Intelligent and Fuzzy Systems, 25(3), 825–832.

    MathSciNet  MATH  Google Scholar 

  • Yao, K., Gao, J., & Gao, Y. (2013). Some stability theorems of uncertain differential equation. Fuzzy Optimization and Decision Making, 12(1), 3–13.

    Article  MathSciNet  Google Scholar 

  • Yu, X. (2012). A stock model with jumps for uncertain markets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 20(3), 421–432.

    Article  MathSciNet  MATH  Google Scholar 

  • Zhu, Y. G. (2015). Uncertain fractional differential equations and an interest rate model. Mathematical Methods in the Applied Sciences, 38(15), 3359–3368.

    Article  MathSciNet  MATH  Google Scholar 

Download references

Acknowledgments

This work was supported by the National Natural Science Foundation of China (61403360 and 71402121).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Taoyong Su.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sun, Y., Su, T. Mean-reverting stock model with floating interest rate in uncertain environment. Fuzzy Optim Decis Making 16, 235–255 (2017). https://doi.org/10.1007/s10700-016-9247-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10700-016-9247-7

Keywords

Navigation