This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

A Note on Option Pricing with the Use of Discrete-Time Stochastic Volatility Processes

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Anna Pajor () (Cracow University of Economics)
Abstract

In this paper we show that in the lognormal discrete-time stochastic volatility model with predictable conditional expected returns, the conditional expected value of the discounted payoff of a European call option is infinite. Our empirical illustration shows that the characteristics of the predictive distributions of the discounted payoffs, obtained using Monte Carlo methods, do not indicate directly that the expected discounted payoffs are infinite.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://cejeme.org/publishedarticles/2009-41-31-633740820660689040-8334.pdf
File Format: application/pdf
File Function:
Download Restriction: no

Publisher Info
Article provided by Polish Academy of Sciences, The Lodz Branch in its journal Central European Journal of Economic Modelling and Econometrics.

Volume (Year): 1 (2009)
Issue (Month): 1 (March)
Pages: 71-81
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:psc:journl:v:1:y:2009:i:1:p:71-81

Contact details of provider:
Web page: http://cejeme.org/

For technical questions regarding this item, or to correct its listing, contact: (Marcin Owczarczuk).

Related research
Keywords: option pricing; SV model; Bayesian forecasting;

Find related papers by JEL classification:
C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis
C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Jacquier, Eric & Polson, Nicholas G. & Rossi, P.E.Peter E., 2004. "Bayesian analysis of stochastic volatility models with fat-tails and correlated errors," Journal of Econometrics, Elsevier, vol. 122(1), pages 185-212, September. [Downloadable!] (restricted)
  2. Jiang, G. & Sluis, P.J. van der, 2000. "Index option pricing models with stochastic volatility and stochastic interest rates," Discussion Paper 36, Tilburg University, Center for Economic Research. [Downloadable!]
  3. Hull, John C & White, Alan D, 1987. " The Pricing of Options on Assets with Stochastic Volatilities," Journal of Finance, American Finance Association, vol. 42(2), pages 281-300, June. [Downloadable!] (restricted)
  4. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-54, May-June. [Downloadable!] (restricted)
  5. Amin, Kaushik I & Ng, Victor K, 1993. " Option Valuation with Systematic Stochastic Volatility," Journal of Finance, American Finance Association, vol. 48(3), pages 881-910, July. [Downloadable!] (restricted)
Full references

Statistics
Access and download statistics

Did you know? The most prolific authors have over 700 items listed on IDEAS.

This page was last updated on 2009-11-25.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.