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A HYBRID DERIVATIVE TRADING SYSTEM BASED ON VOLATILITY AND RETURN FORECASTING

The following proposes a methodology that utilizes a generalized regression neural network to develop a hybrid option trading system that incorporates both volatility and return forecasting. This study focuses on the S&P 500 stock index as being representative of the market. Two different hybrid systems are discussed. The first hybrid system applies a signal from the volatility forecasting as a primary signal and then uses long and short straddle, strip, and strap strategies to take advantage of the volatility signal. The second hybrid system applies a signal from the return forecasting as a primary signal and then uses long calls and puts and bull and bear spread strategies to take ...

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