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ECONIS (ZBW)
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1
Renewable energy stocks
forecast
using Twitter investor sentiment and deep learning
Herrera, Gabriel Paes
;
Oliveira, Michel Angelo …
- In:
Energy economics
114
(
2022
),
pp. 1-11
Persistent link: https://www.econbiz.de/10013477442
Saved in:
2
High return and low risk : shaping composite financial investment decision in the new energy stock market
Zhu, Qing
;
Zhou, Xiaobo
;
Liu, Shan
- In:
Energy economics
122
(
2023
),
pp. 1-15
Persistent link: https://www.econbiz.de/10014439345
Saved in:
3
Oil volatility risk and stock market volatility predictability : evidence from G7 countries
Feng, Jiabao
;
Wang, Yudong
;
Yin, Libo
- In:
Energy economics
68
(
2017
),
pp. 240-254
Persistent link: https://www.econbiz.de/10011905699
Saved in:
4
Does investor attention to energy stocks exhibit power law?
Ranjan, Ravi Prakash
;
Bhattachharyya, Malay
- In:
Energy economics
75
(
2018
),
pp. 573-582
Persistent link: https://www.econbiz.de/10011974523
Saved in:
5
Forecasting renewable energy stock volatility using short and long-term Markov switching GARCH-MIDAS models : either, neither or both?
Wang, Lu
;
Wu, Jiangbin
;
Cao, Yang
;
Hong, Yanran
- In:
Energy economics
111
(
2022
),
pp. 1-12
Persistent link: https://www.econbiz.de/10013349997
Saved in:
6
Has oil price predicted stock returns for over a century?
Narayan, Paresh Kumar
;
Gupta, Rangan
- In:
Energy economics
48
(
2015
),
pp. 18-23
Persistent link: https://www.econbiz.de/10011533690
Saved in:
7
Forecasting the sign of U.S. oil and gas industry stock index excess returns employing macroeconomic variables
Liu, Jingzhen
;
Kemp, Alexander G.
- In:
Energy economics
81
(
2019
),
pp. 672-686
Persistent link: https://www.econbiz.de/10012172895
Saved in:
8
Can energy security predict energy stock returns?
Iyke, Bernard Njindan
;
Vuong Thao Tran
;
Narayan, Paresh …
- In:
Energy economics
94
(
2021
),
pp. 1-16
Persistent link: https://www.econbiz.de/10012649448
Saved in:
9
Good, bad cojumps and volatility forecasting : new evidence from crude oil and the U.S. stock markets
Chen, Yixiang
;
Ma, Feng
;
Zhang, Yaojie
- In:
Energy economics
81
(
2019
),
pp. 52-62
Persistent link: https://www.econbiz.de/10012172656
Saved in:
10
Does high-frequency crude oil futures data contain useful information for predicting volatility in the US stock market? : new evidence
Wang, Jiqian
;
Huang, Yisu
;
Ma, Feng
;
Chevallier, Julien
- In:
Energy economics
91
(
2020
),
pp. 1-13
Persistent link: https://www.econbiz.de/10012518664
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