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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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2
Monetary, fiscal and oil shocks : evidence based on mixed frequency structural favars
Marcellino, Massimiliano
;
Sivec, Vasja
-
2015
Persistent link: https://www.econbiz.de/10011289242
Saved in:
3
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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4
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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5
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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6
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
Saved in:
7
Empirical simultaneous confidence regions for path-forecasts
Jordà, Òscar
;
Knüppel, Malte
;
Marcellino, Massimiliano
-
2010
Persistent link: https://www.econbiz.de/10003976664
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8
Forecasting macroeconomic variables using diffusion indexes in short samples with structural change
Banerjee, Anindya
;
Marcellino, Massimiliano
;
Masten, Igor
-
2008
Persistent link: https://www.econbiz.de/10003668444
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9
Forecasting using a large number of predictors : is Bayesian regression a valid alternative to principal components?
Mol, Christine de
;
Giannone, Domenico
;
Reichlin, Lucrezia
-
2006
Persistent link: https://www.econbiz.de/10003381781
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10
Analyzing strongly periodic series in the frequency domain : a comparison of alternative approaches with applications
Artis, Michael J.
;
Clavel, Jose Garcia
;
Hoffmann, Mathias
; …
-
2007
Persistent link: https://www.econbiz.de/10003574540
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