Gençay, R.Salih, A.2019-02-012019-02-0120031529-7373http://hdl.handle.net/11693/48734The Black-Scholes pricing errors are larger in the deeper out-of-the-money options relative to the near out-of-the-money options, and mispricing worsens with increased volatility. Our results indicate that the Black-Scholes model is not the proper pricing tool in high volatility situations especially for very deep out-of-the-money options. Feedforward networks provide more accurate pricing estimates for the deeper out-of-the money options and handles pricing during high volatility with considerably lower errors for out-of-the-money call and put options. This could be invaluable information for practitioners as option pricing is a major challenge during high volatility periods.EnglishOption pricingNonparametric methodsFeedforward networksBayesian regularizationEarly stoppingBaggingArticle