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Forecasting government bond yields with neural networks considering cointegration
Wegener, Christoph; Spreckelsen, Christian von; Basse, … - In: Journal of forecasting 35 (2016) 1, pp. 86-92
Persistent link: https://www.econbiz.de/10011417732
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Combination forecasts of tourism demand with machine learning models
Claveria, Oscar; Monte, Enric; Torra, Salvador - In: Applied economics letters 23 (2016) 4/6, pp. 428-431
Persistent link: https://www.econbiz.de/10011430763
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Nonlinear time series and neural-network models of exchange rates between the US Dollar and major currencies
Allen, David E.; McAleer, Michael; Peiris, Shelton; … - 2015
This paper features an analysis of major currency exchange rate movements in relation to the US dollar, as constituted in US dollar terms. Euro, British pound, Chinese yuan, and Japanese yen are modelled using a variety of non-linear models, including smooth transition regression models,...
Persistent link: https://www.econbiz.de/10011378229
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A neural network-based methodology of quantifying the association between the design variables and the users' performances
Wong, Tse Chiu; Chan, H. S. - In: International journal of production research 53 (2015) 13, pp. 4050-4067
Persistent link: https://www.econbiz.de/10011302845
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The impact of macroeconomic factors on residential property price indices in Europe
Renigier-Biłozor, Małgorzata; Wiśniewski, Radosław - In: Folia oeconomica Stetinensia : FOS 12 (2012) 2, pp. 103-125
Persistent link: https://www.econbiz.de/10010241684
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Customer segmentation in private banking sector using machine learning techniques
Smeureanu, Ion; Ruxanda, Gheorghe; Badea, Laura Maria - In: Journal of business economics and management 14 (2013) 5, pp. 923-939
Persistent link: https://www.econbiz.de/10010199073
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Forecasting call centre arrivals
Millán-Ruiz, David; Hidalgo, José Ignacio - In: Journal of forecasting 32 (2013) 7, pp. 628-638
Persistent link: https://www.econbiz.de/10010202167
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Recognition and classification of single and concurrent unnatural patterns in control charts via neural networks and fitted of samples
Lesany, S. A.; Koochakzadeh, A.; Fatemi Ghomi, S. M. T. - In: International journal of production research 52 (2014) 6, pp. 1771-1786
Persistent link: https://www.econbiz.de/10010257293
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Forecasting period charter rates of VLCC tankers through neutral networks : a comparison of alternative approaches
Santos, André A. P.; Junkes, Luciano N.; Pires, … - In: Maritime economics & logistics : a quarterly scientific … 16 (2014) 1, pp. 72-91
Persistent link: https://www.econbiz.de/10010255429
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Nonlinear time series and neural-network models of echange rates between the US Dollar and major currencies
Allen, David E.; McAleer, Michael; Peiris, Shelton; … - In: Risks : open access journal 4 (2016) 1, pp. 1-14
This paper features an analysis of major currency exchange rate movements in relation to the US dollar, as constituted in US dollar terms. Euro, British pound, Chinese yuan, and Japanese yen are modelled using a variety of non-linear models, including smooth transition regression models,...
Persistent link: https://www.econbiz.de/10011443686