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In-sample or out-of-sample tests of predictability : which one should we use?
Inoue, Atsushi - 2002
Persistent link: https://www.econbiz.de/10013424233
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Do high-frequency financial data help forecast oil prices? : the MIDAS touch at work
Baumeister, Christiane; Guérin, Pierre; Kilian, Lutz - 2013
Persistent link: https://www.econbiz.de/10010243731
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Bagging time series models
Inoue, Atsushi - 2004
Persistent link: https://www.econbiz.de/10013424407
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Measuring predictibility : theory and macroeconomic applications
Diebold, Francis X. - 2000
Persistent link: https://www.econbiz.de/10013423062
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Inside the crystal ball : new approaches to predicting the gasoline price at the pump
Baumeister, Christiane; Kilian, Lutz; Lee, Thomas - 2015
Persistent link: https://www.econbiz.de/10011346927
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A general approach to recovering market expectations from futures prices with an application to crude oil
Baumeister, Christiane; Kilian, Lutz - 2014
Persistent link: https://www.econbiz.de/10010416758
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What central bankers need to know about forecasting oil prices
Baumeister, Christiane; Kilian, Lutz - 2012
Persistent link: https://www.econbiz.de/10009621902
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Are product sppreads useful for forecasting? : an empirical evaluation of the Verleger hypothesis
Baumeister, Christiane; Kilian, Lutz; Zhou, Xiaoqing - 2013
Persistent link: https://www.econbiz.de/10009786272
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Forecasting the real price of oil in a changing world : a forecast combination approach
Baumeister, Christiane; Kilian, Lutz - 2013
Persistent link: https://www.econbiz.de/10009786276
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Why is it so difficult to beat the random walk forecast of exchange rates?
Kilian, Lutz - 2001
Persistent link: https://www.econbiz.de/10013423633