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Understanding the characteristics of financial time series through neural network and SVM approaches
Moradi, Arash; Alizadeh, Mojtaba; Samadi, Masoud; … - In: International journal of electronic finance : IJEF 9 (2016/2019) 3, pp. 202-216
Persistent link: https://www.econbiz.de/10012050809
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Support Vector Machine GARCH and Neural Network GARCH Models in Modeling Conditional Volatility : An Application to Turkish Financial Markets
Bildirici, Melike - 2013
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
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Optimal hybrid framework for carbon price forecasting using time series analysis and least squares support vector machine
Zhang, Wen; Wu, Zhibin - In: Journal of forecasting 41 (2022) 3, pp. 615-632
Persistent link: https://www.econbiz.de/10013166168
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Support Vector Regression Based GARCH Model with Application to Forecasting Volatility of Financial Returns
Chen, Shiyi - 2017
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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Forecasting volatility with support vector machine-based GARCH model
Shiyi, Chen; Härdle, Wolfgang; Jeong, Kiho - In: Journal of forecasting 29 (2010) 4, pp. 406-433
Persistent link: https://www.econbiz.de/10003989791
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Exchange rate forecasting and support vector regressions
Gkonkas, Periklēs - In: Economics & finance notes 2 (2013) 1/2, pp. 1-13
Persistent link: https://www.econbiz.de/10010426277
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Forecasting and hedging in the foreign exchange markets
Ullrich, Christian - 2009
Persistent link: https://www.econbiz.de/10003826244
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Support vector regression based GARCH model with application to forecasting volatility of financial returns
Chen, Shiyi (contributor); Jeong, Kiho (contributor);  … - 2008
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...
Persistent link: https://www.econbiz.de/10003636113
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Exchange rate forecasting and support vector regressions
Gkonkas, Periklēs - In: Economics & finance notes 4 (2015) 1/2, pp. 1-13
Persistent link: https://www.econbiz.de/10011444064