The Evaluation of Financial Assets with Autocorrelations in Returns
Abstract
In this paper, we will describe an analytical solution to a problem of pricing financial assets with autocorrelations in returns. We will develop a continuous diffusion model for the case of autocorrelation in stock returns, obtain the European call option pricing formula written on a stock with autocorrelation in returns and show that even small levels of predictability due to autocorrelation can give a substantial deviation from the results obtained by Black-Sholes formula. Also, we will calculate the modified sensitivities of the value of European call option and show how in risk management widely used option hedging parameters depend on assumptions made about correlation in underlying asset returns. Finally, we will show convergence time for the stationary solution of the derived continuous diffusion model and test its distribution.
Keywords: |
ARCH models; Black–Scholes model; discrete time stochastic difference equation systems; Markov chain; option Greeks
|
Full Text: |
References
Lo, A., MacKinlay, A. C.: An Econometric Analysis of Non- Synchronous Trading. Journal of Econometrics, No. 45, pp. 181-211, 1990.
Jokivuolle, E.: Measuring True Stock Index Value in the Presence of Infrequent Trading. Journal of Financial and Quantitative Analysis, September, 1995.
Stoll, H. R., Whaley, R. E.: The Dynamics of Stock Index and Stock Index Futures Returns. Journal of Financial and Quantitative Analysis, No. 25, pp. 441-68, 1990.
Nelson, D. B.: ARCH models as diffusion approximations. Journal of Econometrics, Vol. 45, Issues 1-2, Pages 7-38, July-August 1990.
Mezin, V. Option Pricing Model for Autocorrelated Stock Returns. Working paper, Rutgers University, 2004.
Carkovs,J. On Diffusion Approximation of Discrete Markov Dynamical Systems. In Computational Geometry, Proceedings of World Academy of Science, Engineering and Technology, Vol. 30, pp.1-6, 2008.
Refbacks
- There are currently no refbacks.
Copyright (c) 2012 Jegors Fjodorovs, Andrejs Matvejevs, Aigars Egle
This work is licensed under a Creative Commons Attribution 4.0 International License.