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Forecasting model
297
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Ma, Feng
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3
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Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund
339
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ECONIS (ZBW)
396
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1
Willingness to pay for renewables : insights from a meta-analysis of choice experiments
Cerdá Tena, Emilio
;
López-Otero, Xiral
;
Quiroga, Sonia
; …
- In:
Energy economics
130
(
2024
),
pp. 1-11
Persistent link: https://www.econbiz.de/10014559152
Saved in:
2
Forecasting the real prices of crude oil : a robust weighted least squares approach
Wang, Yudong
;
Hao, Xianfeng
- In:
Energy economics
116
(
2022
),
pp. 1-18
Persistent link: https://www.econbiz.de/10013542061
Saved in:
3
Crude oil market
autocorrelation
: evidence from multiscale quantile regression analysis
Sun, Jie
;
Zhao, Xiaojun
;
Xu, Chao
- In:
Energy economics
98
(
2021
),
pp. 1-11
Persistent link: https://www.econbiz.de/10012822032
Saved in:
4
Testing and estimating time-varying elasticities of Swiss gasoline demand
Neto, David
- In:
Energy economics
34
(
2012
)
6
,
pp. 1755-1762
Persistent link: https://www.econbiz.de/10009687888
Saved in:
5
A novel multiscale nonlinear ensemble leaning paradigm for carbon price forecasting
Zhu, Bangzhu
;
Ye, Shunxin
;
Wang, Ping
;
He, Kaijian
; …
- In:
Energy economics
70
(
2018
),
pp. 143-157
Persistent link: https://www.econbiz.de/10011942668
Saved in:
6
Forecasting commodity prices returns : the role of partial least squares approach
Wen, Chufu
;
Zhu, Haoyang
;
Dai, Zhifeng
- In:
Energy economics
125
(
2023
),
pp. 1-15
Persistent link: https://www.econbiz.de/10014478814
Saved in:
7
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:
8
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
Saved in:
9
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:
10
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
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