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Forecasting aggregate period birth rates : the time series properties of a microdynamic neoclassical model of fertility
Heckman, James J.; Walker, James R. - 1989
Persistent link: https://www.econbiz.de/10000774916
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Answering the critics : yes, arch models do provide good volatility forecasts
Andersen, Torben; Bollerslev, Tim - 1997
Persistent link: https://www.econbiz.de/10000627888
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Measuring short-run inflation for central bankers
Cecchetti, Stephen G. - 1996
Persistent link: https://www.econbiz.de/10000609247
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Diffusion indexes
Stock, James H.; Watson, Mark W. - 1998
Persistent link: https://www.econbiz.de/10000674170
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An empirical comparison of alternative schemes for combining electricity spot price forecasts
Nowotarski, Jakub; Raviv, Eran; Trück, Stefan; Weron, … - In: Energy economics 46 (2014), pp. 395-412
Persistent link: https://www.econbiz.de/10011298964
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Forecasting energy market volatility using GARCH models : can multivariate models beat univariate models?
Wang, Yudong; Wu, Chongfeng - In: Energy economics 34 (2012) 6, pp. 2167-2181
Persistent link: https://www.econbiz.de/10009688795
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Filtering and forecasting commodity futures prices under an HMM framework
Date, Paresh; Mamon, Rogemar; Tenyakov, Anton - In: Energy economics 40 (2013), pp. 1001-1013
Persistent link: https://www.econbiz.de/10010355984
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Real-time forecasting with a mixed-frequency VAR
Schorfheide, Frank; Song, Dongho - 2013
Persistent link: https://www.econbiz.de/10010227274
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Volatility forecasting and risk management for commodity markets in the presence of asymmetry and long memory
Chkili, Walid; Hammoudeh, Shawkat; Nguyen, Duc Khuong - In: Energy economics 41 (2014), pp. 1-18
Persistent link: https://www.econbiz.de/10010374635