Abstract

http://ssrn.com/abstract=148989
 


 



Markov Processes and the Distribution of Volatility: A Comparison Of Discrete and Continuous Specifications


Stephen J. Taylor


Lancaster University - Department of Accounting and Finance

January 1999

Working Paper 99/001

Abstract:     
Two mixtures of Normal distributions, created by persistent changes in volatility, are compared as models for asset returns. A Markov chain with two states for volatility is contrasted with an autoregressive Gaussian process for the logarithm of volatility. The conditional variances of asset returns are shown to have a bimodal distribution for the former process when volatility is persistent, that contrasts with a unimodal distribution for the latter process. A test procedure based upon this contrast shows that a lognormal distribution for Sterling/Dollar volatility is far more credible than only two volatility states.

JEL Classification: C22, C52, F31, G15

working papers series





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Date posted: February 26, 1999  

Suggested Citation

Taylor, Stephen J., Markov Processes and the Distribution of Volatility: A Comparison Of Discrete and Continuous Specifications (January 1999). Working Paper 99/001. Available at SSRN: http://ssrn.com/abstract=148989

Contact Information

Stephen J. Taylor (Contact Author)
Lancaster University - Department of Accounting and Finance ( email )
The Management School
Lancaster LA1 4YX
United Kingdom
+ 44 15 24 59 36 24 (Phone)
+ 44 15 24 84 73 21 (Fax)
HOME PAGE: http://www.lancs.ac.uk/staff/afasjt
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