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An introduction to time-varying lag autoregression
Franses, Philip Hans - 2020
Persistent link: https://www.econbiz.de/10012216295
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On SETAR non-linearity and forecasting
Clements, Michael P.; Franses, Philip Hans; Smith, Jeremy; … - In: Journal of forecasting 22 (2003) 5, pp. 359-375
Persistent link: https://www.econbiz.de/10001781684
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Censored latent effects autoregression, with an application to US unemployment
Franses, Philip Hans; Paap, Richard - In: Journal of applied econometrics 17 (2002) 4, pp. 347-366
Persistent link: https://www.econbiz.de/10001690455
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Inclusion of older annual data into time series models for recent quarterly data
Franses, Philip Hans - In: Applied economics letters 28 (2021) 19, pp. 1717-1721
Persistent link: https://www.econbiz.de/10012652580
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Common persistence in nonlinear autoregressive models
Boswijk, Herman Peter; Franses, Philip Hans - 1996
Persistent link: https://www.econbiz.de/10000937862
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Smooth transition autoregressive models : a survey of recent developments
Dijk, Dick van; Teräsvirta, Timo; Franses, Philip Hans - In: Econometric reviews 21 (2002) 1, pp. 1-47
Persistent link: https://www.econbiz.de/10001660011
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Forecasting stock market volatility using (nonlinear) GARCH models
Franses, Philip Hans; Thull, Olaf van - 1995
Persistent link: https://www.econbiz.de/10000912177
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Mean shifts, unit roots and forecasting seasonal time series
Paap, Richard; Franses, Philip Hans; Hoek, Henk - 1996
Persistent link: https://www.econbiz.de/10000939347
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The impact of seasonal constants on forecasting seasonally cointegrated time series
Kunst, Robert M.; Franses, Philip Hans - 1996
Persistent link: https://www.econbiz.de/10000964173
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Additive outliers, garch and forecasting volatility
Franses, Philip Hans; Ghijsels, Hendrik - 1997
Persistent link: https://www.econbiz.de/10000969033