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Forecasting the intra-day effective bid ask spread by combining density forecasts
Fall, Malick
;
Louhichi, Waël
;
Viviani, Jean-Laurent
- In:
Applied economics
53
(
2021
)
50
,
pp. 5772-5792
Persistent link: https://www.econbiz.de/10012627098
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2
Equity premium prediction using the price of crude oil : uncovering the nonlinear predictive impact
Nonejad, Nima
- In:
Energy economics
115
(
2022
),
pp. 1-24
Persistent link: https://www.econbiz.de/10013541756
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3
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
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Forecasting stock market returns by combining sum-of-the-parts and ensemble empirical mode decomposition
Dai, Zhifeng
;
Zhu, Huan
- In:
Applied economics
52
(
2020
)
21
,
pp. 2309-2323
Persistent link: https://www.econbiz.de/10012197698
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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
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Executive shareholding, compensation, and analyst
forecast
of Chinese firms
Huang, Wei
;
Boateng, Agyenim
- In:
Applied economics
49
(
2017
)
15
,
pp. 1459-1472
Persistent link: https://www.econbiz.de/10011813609
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Modeling and predicting oil VIX: internet search volume versus traditional mariables
Campos, I.
;
Cortazar, Gonzalo
;
Reyes, T.
- In:
Energy economics
66
(
2017
),
pp. 194-204
Persistent link: https://www.econbiz.de/10011896450
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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
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An options-based approach to
forecast
competing bids : evidence for Canadian takeover battles
Eichler, Stefan
;
Maltritz, Dominik
- In:
Applied economics
45
(
2013
)
34/36
,
pp. 4805-4819
Persistent link: https://www.econbiz.de/10010225365
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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
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