GARCHNet: Value-at-Risk Forecasting with GARCH Models Based on Neural Networks
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This paper proposes a new GARCH specification that adapts the architecture of a long-term short memory neural network (LSTM). It is shown that classical GARCH models generally give good results in financial modeling, where high volatility can be observed. In p... ...
