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Tiwari, Aviral Kumar
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ECONIS (ZBW)
238
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1
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
Saved in:
2
Different strokes for different folks : the case of oil shocks and emerging equity markets
Raheem, Ibrahim Dolapo
- In:
Energy economics
108
(
2022
),
pp. 1-8
Persistent link: https://www.econbiz.de/10013202997
Saved in:
3
Stock market bubbles and the realized volatility of oil price returns
Gupta, Rangan
;
Nielsen, Joshua
;
Pierdzioch, Christian
- In:
Energy economics
132
(
2024
),
pp. 1-13
Persistent link: https://www.econbiz.de/10015047521
Saved in:
4
Forecasting
the oil-gasoline price relationship : do asymmetries help?
Bastianin, Andrea
;
Galeotti, Marzio
;
Manera, Matteo
- In:
Energy economics
46
(
2014
),
pp. 44-56
Persistent link: https://www.econbiz.de/10011299352
Saved in:
5
Forecasting
Italian electricity zonal prices with exogenous variables
Gianfreda, Angelica
;
Grossi, Luigi
- In:
Energy economics
34
(
2012
)
6
,
pp. 2228-2239
Persistent link: https://www.econbiz.de/10009688758
Saved in:
6
A data envelopment analysis-based framework for the relative performance evaluation of competing crude oil prices' volatility
forecasting
models
Xu, Bing
;
Ouenniche, Jamal
- In:
Energy economics
34
(
2012
)
2
,
pp. 576-583
Persistent link: https://www.econbiz.de/10009618682
Saved in:
7
Volatility regimes, asymmetric basis effects and
forecasting
performance : an empirical investigation of the WTI crude oil futures market
Chang, Kuang-liang
- In:
Energy economics
34
(
2012
)
1
,
pp. 294-306
Persistent link: https://www.econbiz.de/10009618842
Saved in:
8
Electricity demand analysis and
forecasting
: a panel cointegration approach
Shazly, Alaa el-
- In:
Energy economics
40
(
2013
),
pp. 251-258
Persistent link: https://www.econbiz.de/10010349564
Saved in:
9
Forecasting
carbon futures volatility using GARCH models with energy volatilities
Byun, Suk Joon
;
Cho, Hangjun
- In:
Energy economics
40
(
2013
),
pp. 207-221
Persistent link: https://www.econbiz.de/10010349571
Saved in:
10
Forecasting
short-term electricity consumption using a semantics-based genetic programming framework : the South Italy case
Castelli, Mauro
;
Vanneschi, Leonardo
;
De Felice, Matteo
- In:
Energy economics
47
(
2015
),
pp. 37-41
Persistent link: https://www.econbiz.de/10011527149
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