Different Estimators Of The Underlying Asse4s Volatility And Option Pricing Errors: Parallel Monte-Carlo Simulation
Price
Free (open access)
Transaction
Volume
38
Pages
11
Published
2004
Size
585 kb
Paper DOI
10.2495/CF040121
Copyright
WIT Press
Author(s)
S. Rakhmayil, I. Shiller & R.K. Thulasiram
Abstract
This paper investigates accuracy of volatility estimation methods for asset prices characterized by several volatility regimes. Two criteria for evaluation of estimator accuracy are estimation volatility error and option pricing error in the context of the Black-Scholes option-pricing model. We performed a Monte Carlo experiment to obtain average option pricing errors for various patterns of underlying asset volatility. In the case of an ergodic in variance process it is acceptable to use volatility estimates derived either from sample standard deviation of continuously compounded returns or from GARCH-fitted volatility of continuously compounded returns. In the case of a non-ergodic process all es
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