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Forecasting with nonlinear time series models
Bredahl Kock, Andreas; Teräsvirta, Timo - 2010
Persistent link: https://www.econbiz.de/10003914221
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Forecasting macroeconomic variables using neural network models and three automated model selection techniques
Kock, Anders Bredahl; Teräsvirta, Timo - 2011
Persistent link: https://www.econbiz.de/10009267762
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Forecasting with universal approximators and a learning algorithm
Kock, Anders Bredahl - 2009
Persistent link: https://www.econbiz.de/10003849546
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A machine learning approach to volatility forecasting
Christensen, Kim; Siggaard, Mathias Voldum; Veliyev, … - 2021
Persistent link: https://www.econbiz.de/10012434010
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Daily house price indices : construction, modeling, and longer-run predictions
Bollerslev, Tim; Patton, Andrew J.; Wang, Wenjing - 2015 - 2. version
Persistent link: https://www.econbiz.de/10010464688
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Predicting severe simultaneous recessions using yield spreads as leading indicators
Christiansen, Charlotte - 2011
Persistent link: https://www.econbiz.de/10009127828
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Evaluating value-at-risk models with desk-level data
Christoffersen, Peter F.; Berkowitz, Jeremy; Pelletier, … - 2009
Persistent link: https://www.econbiz.de/10003865687
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The dividend-price ratio does predict dividend growth : international evidence
Engsted, Tom; Pedersen, Thomas Q. - 2009
Persistent link: https://www.econbiz.de/10003865691
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Forecasting inflation with gradual regiem shifts and exogenous information
González, Andrés; Hubrich, Kirstin; Teräsvirta, Timo - 2009
Persistent link: https://www.econbiz.de/10003849428
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Forecasting long memory time series under a break in persistence
Heinen, Florian; Sibbertsen, Philipp; Kruse, Robinson - 2009
Persistent link: https://www.econbiz.de/10003898521