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~subject:"Forecasting model"
~institution:"University of Canterbury / Dept. of Economics and Finance"
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Forecasting model
Volatility
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1264-1913
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McAleer, Michael
7
Caporin, Massimiliano
4
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1
Chang, Chia-Lin
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University of Canterbury / Dept. of Economics and Finance
National Bureau of Economic Research
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OECD
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Federal Reserve Bank of St. Louis
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European University Institute / Department of Law
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Gottfried Wilhelm Leibniz Universität Hannover
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Springer Fachmedien Wiesbaden
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Rutgers University / Department of Economics
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Sonderforschungsbereich Quantifikation und Simulation Ökonomischer Prozesse
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University of Strathclyde / Department of Economics
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Christian-Albrechts-Universität zu Kiel
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Europäische Kommission / Generaldirektion Wirtschaft und Finanzen
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IGI Global
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Erasmus Research Institute of Management
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Zakład Teorii Prognoz <Krakau>
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Birkbeck College / Department of Economics
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Ten things we should know about time series
McAleer, Michael
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Oxley, Les
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2010
Persistent link: https://www.econbiz.de/10008688841
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2
Forecasting value-at-risk using block structure multivariate stochastic volatility models
Asai, Manabu
;
Caporin, Massimiliano
;
McAleer, Michael
-
2012
-
Rev.
Persistent link: https://www.econbiz.de/10009562985
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3
Combining non-replicable forecasts
Chang, Chia-Lin
;
Franses, Philip Hans
;
McAleer, Michael
-
2010
-
Rev.
Persistent link: https://www.econbiz.de/10008689066
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4
Ranking multivariate GARCH models by problem dimension
Caporin, Massimiliano
;
McAleer, Michael
-
2010
-
Rev.
Persistent link: https://www.econbiz.de/10008689067
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5
Forecasting realized volatility with linear and nonlinear univariate models
McAleer, Michael
;
Medeiros, Marcelo C.
-
2010
Persistent link: https://www.econbiz.de/10008689073
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6
Robust ranking of multivariate GARCH models by problem dimension
Caporin, Massimiliano
;
McAleer, Michael
-
2012
Persistent link: https://www.econbiz.de/10009562979
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7
Ranking multivariate GARCH models by problem dimension : an empirical evaluation
Caporin, Massimiliano
;
McAleer, Michael
-
2011
Persistent link: https://www.econbiz.de/10009412785
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