A Note on Option Pricing with the Use of Discrete-Time Stochastic Volatility Processes
AbstractIn 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.
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Bibliographic InfoArticle provided by CEJEME in its journal Central European Journal of Economic Modelling and Econometrics.
Volume (Year): 1 (2009)
Issue (Month): 1 (March)
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option pricing; SV model; Bayesian forecasting;
Find related papers by JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
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- Mahieu, R.J. & Schotman, P.C., 1998.
"An empirical application of stochastic volatility models,"
Open Access publications from Tilburg University
urn:nbn:nl:ui:12-3131739, Tilburg University.
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- Mahieu, R.J. & Schotman, P, 1998. "An empirical application of stochastic volatility models," Open Access publications from Maastricht University urn:nbn:nl:ui:27-5909, Maastricht University.
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