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Inflation and unemployment forecasting with genetic support vector regression
Sermpinis, Georgios; Stasinakis, Charalampos; … - In: Journal of forecasting 33 (2014) 6, pp. 471-487
Persistent link: https://www.econbiz.de/10010426238
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Non-Linear interactions and exchange rate prediction : empirical evidence using support vector regression
Peng, Yaohao; Albuquerque, Pedro H. - In: Applied mathematical finance 26 (2019) 1, pp. 69-100
Persistent link: https://www.econbiz.de/10012210260
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Reverse adaptive krill herd locally weighted support vector regression for forecasting and trading exchange traded funds
Sermpinis, Georgios; Stasinakis, Charalampos; … - In: European journal of operational research : EJOR 263 (2017) 2, pp. 540-558
Persistent link: https://www.econbiz.de/10011793981
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A hybrid model for forecasting realized volatility based on heterogeneous autoregressive model and support vector regression
Zhuo, Yue; Morimoto, Takayuki - In: Risks : open access journal 12 (2024) 1, pp. 1-16
vector regression (SVR) model to forecast realized volatility (RV). The first model is a residual-type model, where the RV is …
Persistent link: https://www.econbiz.de/10014480965
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European exchange trading funds trading with locally weighted support vector regression
Sermpinis, Georgios; Stasinakis, Charalampos; Rosillo, … - In: European journal of operational research : EJOR 258 (2017) 1, pp. 372-384
Persistent link: https://www.econbiz.de/10011642226
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The calibration of rating models : estimation of the probability of default based on advanced pattern classification methods
Konrad, Paul Markus - 2012
Persistent link: https://www.econbiz.de/10009663748
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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 … examined to the free parameters. Keywords: recurrent support vector regression ; GARCH model ; volatility forecasting …
Persistent link: https://www.econbiz.de/10003636113
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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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Rating companies with support vector machines
Härdle, Wolfgang (contributor); Moro, R. A. (contributor);  … - 2004 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10002009009