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A quantile regression neural network approach to estimating the conditional density of multiperiod returns
Taylor, James W. - In: Journal of forecasting 19 (2000) 4, pp. 299-311
Persistent link: https://www.econbiz.de/10001504631
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Predictable return distributions
Pedersen, Thomas Q. - In: Journal of forecasting 34 (2015) 2, pp. 114-132
Persistent link: https://www.econbiz.de/10011305289
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Disciplining growth-at-risk models with survey of professional forecasters and Bayesian quantile regression
Szabo, Milan - In: Journal of forecasting 43 (2024) 6, pp. 1975-1981
Persistent link: https://www.econbiz.de/10015110346
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Moment tests for density forecast evaluation in the presence of parameter estimation uncertainty
Chen, Yi-ting - In: Journal of forecasting 30 (2011) 4, pp. 409-450
Persistent link: https://www.econbiz.de/10009234516
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Density forecasting with time-varying higher moments : a model confidence set approach
Wilhelmsson, Anders - In: Journal of forecasting 32 (2013) 1, pp. 19-31
Persistent link: https://www.econbiz.de/10009758731
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Empirical Bayesian density forecasting in Iowa and shrinkage for the Monte Carlo era
Lewis, Kurt F.; Whiteman, Charles H. - In: Journal of forecasting 34 (2015) 1, pp. 15-35
Persistent link: https://www.econbiz.de/10011305372
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Robust estimation of conditional variance of time series using density power divergences
Park, Jin‐Hong; Sriram, T. N. - In: Journal of forecasting 36 (2017) 6, pp. 703-717
Persistent link: https://www.econbiz.de/10011861411
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Prediction of α‐stable GARCH and ARMA‐GARCH‐M models
Mohammadi, Mohammad - In: Journal of forecasting 36 (2017) 7, pp. 859-866
Persistent link: https://www.econbiz.de/10011860776
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Evaluating volatility and interval forecasts
Taylor, James W. - In: Journal of forecasting 18 (1999) 2, pp. 111-128
Persistent link: https://www.econbiz.de/10001368220
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Mixed-frequency predictive regressions with parameter learning
Leippold, Markus; Yang, Hanlin - In: Journal of forecasting 42 (2023) 8, pp. 1955-1972
Persistent link: https://www.econbiz.de/10014432824