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In recent years support vector regression (SVR), a novel neural network (NN) technique, has been successfully used for financial forecasting. This paper deals with the application of SVR in volatility forecasting. Based on a recurrent SVR, a GARCH method is proposed and is compared with a moving...
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The Turkish version of this paper can be found at: "http://ssrn.com/abstract=2222071" http://ssrn.com/abstract=2222071The study aims to investigate linear GARCH, fractionally integrated FI-GARCH and Asymmetric Power APGARCH models and their nonlinear counterparts based on Support Vector...
Persistent link: https://www.econbiz.de/10013085814
In recent years, support vector regression (SVR), a novel neural network (NN) technique, has been successfully used for financial forecasting. This paper deals with the application of SVR in volatility forecasting. Based on a recurrent SVR, a GARCH method is proposed and is compared with a...
Persistent link: https://www.econbiz.de/10012966267
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The English version of this paper can be found at: "http://ssrn.com/abstract=2227747" http://ssrn.com/abstract=2227747Çalışma, temel GARCH modelinin Destek Vektör Makinesi ve Yapay Sinir Ağları ile iyileştirilmiş modellerin incelenerek GARCH modelinin tahmin performansının...
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