Binomial option pricing biases and inconsistent implied volatilities
Document Type
Article
Publication Date
1-1-2001
Abstract
We evaluate the binomial option pricing methodology (OPM) by examining simulated portfolio strategies. A key aspect of our study involves sampling from the empirical distribution of observed equity returns. Using a Monte Carlo simulation, we generate equity prices under known volatility and return parameters. We price American–style put options on the equity and evaluate the risk–adjusted performance of various strategies that require writing put options with different maturities and moneyness characteristics. The performance of these strategies is compared to an alternative strategy of investing in the underlying equity. The relative performance of the strategies allows us to identify biases in the binomial OPM leading to the well–known volatility smile. By adjusting option prices so as to rule out dominated option strategies in a mean–variance context, we are able to reduce the pricing errors of the OPM with respect to option prices obtained from the LIFFE. Our results suggest that a simple recalibration of inputs may improve binomial OPM performance. © 2001 Blackwell Publishers Ltd.
Publication Title
European Financial Management
Recommended Citation
Lekvin, B.,
&
Tiwari, A.
(2001).
Binomial option pricing biases and inconsistent implied volatilities.
European Financial Management,
7(4), 543-562.
http://doi.org/10.1111/1468-036X.00170
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/11235