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Artificial neural networks versus multivariate statistics : an application from economics
Cooper, John C. B. - 1998
Persistent link: https://www.econbiz.de/10000683183
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Multivariate forecast evaluation and rationality testing
Komunjer, Ivana (contributor);  … - 2007
Persistent link: https://www.econbiz.de/10003741004
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Forecasting large datasets with reduced rank multivariate models
Carriero, Andrea (contributor);  … - 2007
Persistent link: https://www.econbiz.de/10003564869
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Multivariate forecasting of a commodity portfolio : application to cattle feeding margins and risk
Tonsor, Glynn T.; Schroeder, Ted C. - In: Applied economics 43 (2011) 10/12, pp. 1329-1339
Persistent link: https://www.econbiz.de/10009239426
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Predicting instability
Razzak, Weshah A. - In: Applied economics 45 (2013) 22/24, pp. 3305-3315
Persistent link: https://www.econbiz.de/10010345431
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Rationality of inflation-output forecasts of MMS survey : international evidence
Ulu, Yasemin - In: Applied economics 47 (2015) 10/12, pp. 1187-1198
Persistent link: https://www.econbiz.de/10010486260
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Robust ranking of multivariate GARCH models by problem dimension
Caporin, Massimiliano; McAleer, Michael - 2012
Persistent link: https://www.econbiz.de/10009562979
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A stochastic variance factor model for large datasets and an application to S&P data
Cipollini, Andrea (contributor);  … - 2004 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001920657
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Spillover effects in the global copper futures markets: asymmetric multivariate GARCH approaches
Lee, Hyun-Bock; Park, Cheol-Ho - In: Applied economics 52 (2020) 54, pp. 5909-5920
Persistent link: https://www.econbiz.de/10012308379
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Evaluating the joint efficiency of German trade forecasts : a nonparametric multivariate approach
Behrens, Christoph - In: Applied economics 52 (2020) 34, pp. 3732-3747
Persistent link: https://www.econbiz.de/10012258978