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This study compares the performances of neural network and Black-Scholes models in pricing BIST30 (Borsa Istanbul) index call and put options with different volatility forecasting approaches. Since the volatility is the key parameter in pricing options, GARCH (Generalized Autoregressive...
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Alternative strategies for predicting stock market volatility are examined. In out-of-sample forecasting experiments implied-volatility information, derived from contemporaneously observed option prices or history-based volatility predictors, such as GARCH models, are investigated, to determine...
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optimizer. The mathematical motivation for such hybrid networks is presented, using the Kolmogorov theory of metric entropy. As … options written on the S&P 500 stock index. While option pricing theory typically requires a highly complex statistical model …
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