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Binomial option pricing with stochastic parameters: A beta distribution approach

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Abstract

This research extends the binomial option-pricing model of Cox, Ross, and Rubinstein (1979) and Rendleman and Barter (1979) to the case where the up and down percentage changes of stock prices are stochastic. Assuming stochastic parameters in the discrete-time binomial option pricing is analogous to assuming stochastic volatility in the continuous-time option pricing. By assuming that the up and down parameters are independent random variables following beta distributions, we are able to derive a closed-form solution to this stochastic discrete-time option pricing. We also derive an upper and a lower bounds of the option price.

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References

  • Black, F. and M. Scholes, “The Pricing of Options and Corporate Liablities,”Journal of Political Economy 81, 637–659 (May/June 1973).

    Article  Google Scholar 

  • Boyle, P., “A Lattice Framework for Option Pricing with Two State Variables,”Journal of Financial and Quantitative Analysis 23, 1–12 (March 1988).

    Article  Google Scholar 

  • Cox, J., S. Ross, and M. Rubinstein, “Option Pricing: A Simplified Approach,”Journal of Financial Economics, 7, 229–263 (October 1979).

    Article  Google Scholar 

  • Hull, J. and A. White, “The Pricing of Options on Assets with Stochastic Volatilities,”Journal of Finance 42 281–300 (June 1987).

    Google Scholar 

  • Hull, J. and A. White, “The Use of the Control Variate Technique in Option Pricing,”Journal of Financial and Quantitative Analysis 23, 237–251 (September 1988).

    Article  Google Scholar 

  • Levy, H., “Upper and Lower Bounds of Put and Call Option Value: Stochastic Dominance Approach,”Journal of Finance 40, 1197–1217 (December 1985).

    Google Scholar 

  • Libby, D. and M. Novick, “Multivariate Generalized Beta Distribution with Applications to Utility Assessment,”Journal of Educational Statistics 7, 271–294 (1982).

    Article  Google Scholar 

  • Novick, M. and J. Chen, “Multivariate Generalized Beta Distribution with Applications to Utility Assessment: A Correction,”Journal of Educational Statistics 9, 163–175 (1984).

    Article  Google Scholar 

  • Omberg, E., “Efficient Discrete Time Jump Process Models in Option Pricing,”Journal of Financial and Quantitative Analysis 23 161–174 (June 1988).

    Article  Google Scholar 

  • Perrakis, S. and P. Ryan, “Option Pricing Bounds in Discrete Time,”Journal of Finance 39, 519–525 (June 1984).

    Google Scholar 

  • Rajasingham, A. “Convergence of Discrete Time Event Trees to Continuous Time Economics and the Pricing of Contingent Claims,” International Monetary Fund, Washington, DC, (December 1990).

    Google Scholar 

  • Rendleman, R. Jr. and B. Barter, “Two State Option Pricing,”Journal of Finance 34, 1093–1110 (December 1979).

    Google Scholar 

  • Ritchken, P., “On Option Pricing Bounds,”Journal of Finance 40, 1219–1233 (December 1985).

    Google Scholar 

  • Royden, H.,Real Analysis, New York, Macmillan, 1968.

    Google Scholar 

  • Rubinstein, M., “The Valuation of Uncertain Income Streams and Pricing of Options,”Bell Journal of Economics and Management Science 7, 407–425 (Autumn 1976).

    Article  Google Scholar 

  • Scott, L. “Option Pricing when the Variance Changes Randomly: Theory, Estimation, and an Application,”Journal of Financial and Quantitative Analysis 23, 419–438 (December 1987).

    Article  Google Scholar 

  • Schwert, G.W., “Why does Stock Market Volatility Change over Time?”Journal of Finance 44, 1115–1153 (December 1989).

    Google Scholar 

  • Whittaker, E. and G. Watson,A Course of Modern Analysis, Cambridge, Cambridge University Press, 1962.

    Google Scholar 

Download references

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Lee, J.C., Lee, C.F. & Wei, K.C.J. Binomial option pricing with stochastic parameters: A beta distribution approach. Rev Quant Finan Acc 1, 435–448 (1991). https://doi.org/10.1007/BF02408402

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