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Periodic time series models
Franses, Philip Hans; Paap, Richard - 2004 - 1. publ.
Persistent link: https://www.econbiz.de/10001691362
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Modeling day-of-the-week seasonality in the S&P 500 index
Franses, Philip Hans; Paap, Richard - 1998
Persistent link: https://www.econbiz.de/10000988101
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Real-time inflation forecasting in a changing world
Groen, Jan J. J.; Paap, Richard; Ravazzolo, Francesco - 2009
This paper revisits inflation forecasting using reduced-form Phillips curve forecasts, that is, inflation forecasts that use activity and expectations variables. We propose a Phillips-curve-type model that results from averaging across different regression specifications selected from a set of...
Persistent link: https://www.econbiz.de/10003947544
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GARCH effects on a test of cointegration
Franses, Philip Hans; Kofman, Paul; Moser, James T. - 1993
Persistent link: https://www.econbiz.de/10000893748
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Testing for seasonal unit roots in monthly panels of time series
Kunst, Robert M.; Franses, Philip Hans - In: Oxford bulletin of economics and statistics 73 (2011) 4, pp. 469-488
Persistent link: https://www.econbiz.de/10009241613
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Constructing seasonally adjusted data with time-varying confidence intervals
Koopman, Siem Jan; Franses, Philip Hans - In: Oxford bulletin of economics and statistics 64 (2002) 5, pp. 509-526
Persistent link: https://www.econbiz.de/10001741990
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Forecasting exchange rates using neural networks for technical trading rules
Franses, Philip Hans; Griensven, Kapser van - 1997
Persistent link: https://www.econbiz.de/10000969008
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Additive outliers, garch and forecasting volatility
Franses, Philip Hans; Ghijsels, Hendrik - 1997
Persistent link: https://www.econbiz.de/10000969033