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~isPartOf:"Energy economics"
~isPartOf:"Journal of business economics : JBE"
~isPartOf:"Tinbergen Institute Discussion Papers"
~person:"Paap, Richard"
~person:"Scharth, Marcel"
~person:"Wang, Yudong"
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1
Forecasting
the real prices of crude oil under economic and statistical constraints
Wang, Yudong
;
Liu, Li
;
Diao, Xundi
;
Wu, Chongfeng
- In:
Energy economics
51
(
2015
),
pp. 599-608
Persistent link: https://www.econbiz.de/10011565055
Saved in:
2
Forecasting
U.S. real GDP using oil prices : a time-varying parameter MIDAS model
Pan, Zhiyuan
;
Wang, Qing
;
Wang, Yudong
;
Li, Yang
- In:
Energy economics
72
(
2018
),
pp. 177-187
Persistent link: https://www.econbiz.de/10011972301
Saved in:
3
Asymmetric Realized Volatility Risk
Allen, David E.
;
McAleer, Michael
;
Scharth, Marcel
-
Tinbergen Instituut
-
2014
forecasting
errors in realized volatility are substantive. Even though returns standardized by ex post quadratic variation …
Persistent link: https://www.econbiz.de/10011272575
Saved in:
4
Realized Volatility Risk
Allen, David E.
;
McAleer, Michael
;
Scharth, Marcel
-
Tinbergen Instituut
-
2013
forecasting
errors in realized volatility are substantive. Even though returns standardized by ex post quadratic variation …
Persistent link: https://www.econbiz.de/10011256164
Saved in:
5
An Alternative Bayesian Approach to Structural Breaks in Time Series Models
Hauwe, Sjoerd van den
;
Paap, Richard
;
Dijk, Dick J.C. van
-
Tinbergen Institute
-
2011
We propose a new approach to deal with structural breaks in time series models. The key contribution is an alternative dynamic stochastic specification for the model parameters which describes potential breaks. After a break new parameter values are generated from a so-called baseline prior...
Persistent link: https://www.econbiz.de/10008838634
Saved in:
6
An Alternative Bayesian Approach to Structural Breaks in Time Series Models
Hauwe, Sjoerd van den
;
Paap, Richard
;
Dijk, Dick J.C. van
-
Tinbergen Instituut
-
2011
We propose a new approach to deal with structural breaks in time series models. The key contribution is an alternative dynamic stochastic specification for the model parameters which describes potential breaks. After a break new parameter values are generated from a so-called baseline prior...
Persistent link: https://www.econbiz.de/10011257521
Saved in:
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