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ECONIS (ZBW)
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1
Volatility spillovers in commodity markets : a large t-vector autoregressive approach
Barbaglia, Luca
;
Croux, Christophe
;
Wilms, Ines
- In:
Energy economics
85
(
2020
),
pp. 1-11
Persistent link: https://www.econbiz.de/10012509561
Saved in:
2
The short- and long-run efficiency of energy, precious metals, and base metals markets : evidence from the exponential smooth transition autoregressive models
Cagli, Efe Çaglar
;
Taskin, Dilvin
;
Mandacı, Pınar Evrım
- In:
Energy economics
84
(
2019
),
pp. 1-9
Persistent link: https://www.econbiz.de/10012183301
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3
Noncausality and the commodity currency hypothesis
Lof, Matthijs
;
Nyberg, Henri
- In:
Energy economics
65
(
2017
),
pp. 424-433
Persistent link: https://www.econbiz.de/10011804018
Saved in:
4
Forecasting realized volatility in electricity markets using logistic smooth transition heterogeneous autoregressive models
Qu, Hui
;
Chen, Wei
;
Niu, Mengyi
;
Li, Xindan
- In:
Energy economics
54
(
2016
),
pp. 68-76
Persistent link: https://www.econbiz.de/10011662756
Saved in:
5
Modeling the volatility of realized volatility to improve volatility forecasts in electricity markets
Qu, Hui
;
Duan, Qingling
;
Niu, Mengyi
- In:
Energy economics
74
(
2018
),
pp. 767-776
Persistent link: https://www.econbiz.de/10011972967
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6
Do oil-price shocks predict the realized variance of U.S. REITs?
Bonato, Matteo
;
Çepni, Oğuzhan
;
Gupta, Rangan
; …
- In:
Energy economics
104
(
2021
),
pp. 1-19
Persistent link: https://www.econbiz.de/10013364407
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7
Forecasting the realized variance of oil-price returns using machine learning : is there a role for U.S. state-level uncertainty?
Çepni, Oğuzhan
;
Gupta, Rangan
;
Pienaar, Daniel
; …
- In:
Energy economics
114
(
2022
),
pp. 1-14
Persistent link: https://www.econbiz.de/10013477404
Saved in:
8
Multi-perspective investor attention and oil futures volatility forecasting
Qu, Hui
;
Li, Guo
- In:
Energy economics
119
(
2023
),
pp. 1-13
Persistent link: https://www.econbiz.de/10014279697
Saved in:
9
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
Saved in:
10
Machine learning and oil price point and density forecasting
Costa, Alexandre Bonnet R.
;
Ferreira, Pedro Cavalcanti
; …
- In:
Energy economics
102
(
2021
),
pp. 1-21
Persistent link: https://www.econbiz.de/10013162181
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