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Using a dynamic artificial neural network for forecasting the volatility of a financial time series.
The ability to obtain accurate volatility forecasts is an important issue for the financial analyst. In this paper, we use the DAN2 model, a multilayer perceptronand an ARCH model to predict the monthly conditional variance ...