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Forecasting the US real house price index
Plakandaras, Vasilios; Gupta, Rangan; Gkonkas, Periklēs; … - In: Economic modelling 45 (2015), pp. 259-267
Persistent link: https://www.econbiz.de/10011334082
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The informational content of the term spread in forecasting the US inflation rate : a nonlinear approach
Plakandaras, Vasilios; Gkonkas, Periklēs; … - In: Journal of forecasting 36 (2017) 2, pp. 109-121
Persistent link: https://www.econbiz.de/10011729092
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Forecasting daily and monthly exchange rates with machine learning techniques
Plakandaras, Vasilios; Papadimitriou, Theophilos; … - In: Journal of forecasting 34 (2015) 7, pp. 560-573
Persistent link: https://www.econbiz.de/10011390457
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Testing exchange rate models in a small open economy : an SVR approach
Papadimitriou, Theophilos; Gkonkas, Periklēs; … - In: Bulletin of applied economics 3 (2016) 2, pp. 9-29
Persistent link: https://www.econbiz.de/10011668838
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Gold against the machine
Plakandaras, Vasilios; Gkonkas, Periklēs; … - In: Computational economics 57 (2021) 1, pp. 5-28
Persistent link: https://www.econbiz.de/10012486908
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Forecasting bank credit ratings
Gkonkas, Periklēs; Papadimitriou, Theophilos; … - In: Journal of risk finance : the convergence of financial … 15 (2014) 2, pp. 195-209
Persistent link: https://www.econbiz.de/10010337459
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Forecasting energy markets using support vector machines
Papadimitriou, Theophilos; Gkonkas, Periklēs; … - In: Energy economics 44 (2014), pp. 135-142
Persistent link: https://www.econbiz.de/10010457232
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Forecasting S&P 500 spikes : an SVM approach
Papadimitriou, Theophilos; Gkonkas, Periklēs; … - In: Digital finance : smart data analytics, investment … 2 (2020) 3/4, pp. 241-258
Persistent link: https://www.econbiz.de/10012416301
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Mind the gap : forecasting euro-area output gaps with machine learning
Sofianos, Emmanouil; Gkonkas, Periklēs; Papadimitriou, … - In: Applied economics letters 29 (2022) 19, pp. 1824-1828
Persistent link: https://www.econbiz.de/10013412312
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The Informational Content of the Term-Spread in Forecasting the U.S. Inflation Rate : A Nonlinear Approach
Gogas, Periklis - 2017
The difficulty in modelling inflation and the significance in discovering the underlying data generating process of inflation is expressed in an ample literature regarding inflation forecasting. In this paper we evaluate nonlinear machine learning and econometric methodologies in forecasting the...
Persistent link: https://www.econbiz.de/10012953784