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Non-stationary time series analysis and cointegration
Hargreaves, Colin P. (ed.) - 1994
Persistent link: https://www.econbiz.de/10013480139
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Künstliche neuronale Netze versus ökonometrische und zeitreihenanalytische Verfahren zur Prognose ökonomischer Zeitreihen
Zimmerer, Thomas - 1997
Persistent link: https://www.econbiz.de/10012699281
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Finanzmarkt-Ökonometrie : Basistechniken, fortgeschrittene Verfahren, Prognosemodelle
Schröder, Michael (ed.); Buscher, Herbert S. (contributor) - 2002
Persistent link: https://www.econbiz.de/10001629835
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Cointegration, causality, and forecasting : a festschrift in honour of Clive W.J. Granger
Engle, Robert F. (ed.); Granger, C. W. J. (honouree);  … - 1999
Persistent link: https://www.econbiz.de/10013479794
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Finanzmarkt-Ökonometrie : Basistechniken, fortgeschrittene Verfahren, Prognosemodelle
Schröder, Michael (ed.) - 2012 - 2., überarbeitete Auflage
Persistent link: https://www.econbiz.de/10014008462
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Macroeconomic now- and forecasting based on the factor error correction model using targeted mixed frequency indicators
Kurz-Kim, Jeong-Ryeol - 2016
Since the influential paper of Stock and Watson (2002), the dynamic factor model (DFM) has been widely used for forecasting macroeconomic key variables such as GDP. However, the DFM has some weaknesses. For nowcasting, the dynamic factor model is modified by using the mixed data sampling...
Persistent link: https://www.econbiz.de/10011566828
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Statistical methods in finance
Maddala, Gangadharrao S. (contributor);  … - 1996
Persistent link: https://www.econbiz.de/10000610528
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Journal of forecasting
Chichester : Wiley - 1.1982 -
Persistent link: https://www.econbiz.de/10000367780