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Modelling implied volatility with OLS and panel data models
Institution:1. Institute of Natural Sciences and Mathematics, Ural Federal University, Ekaterinburg, Russia;2. Department of Electronic Engineering, City University of Hong Kong, PR China
Abstract:The paper performs an empirical estimation of time-varying volatility using OLS regression. Error Components, and Dummy Variable models, by regressing the implied volatility on time to maturity, the strike price and a dummy. Both the daily OLS equations and the panel data model provide more accurate estimates of Black and Scholes option prices than the bench-mark standard deviation of log returns. FT-SE 100 Index European options are used for empirical analysis.
Keywords:
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