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~isPartOf:"Economic modelling"
~isPartOf:"Journal of empirical finance"
~isPartOf:"Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet"
~person:"Bauwens, Luc"
~person:"Belkhouja, Mustapha"
~person:"Gallo, Giampiero M."
~person:"Gupta, Rangan"
~person:"Nam, Kiseok"
~person:"Zhang, Yaojie"
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Bauwens, Luc
Belkhouja, Mustapha
Gallo, Giampiero M.
Gupta, Rangan
Nam, Kiseok
Zhang, Yaojie
Ma, Feng
5
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4
Iglesias, Emma M.
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Jawadi, Fredj
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Economic modelling
Journal of empirical finance
Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet
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18
CORE discussion papers : DP
15
Energy economics
8
International journal of forecasting
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ECONIS (ZBW)
17
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1
Are multifractal processes suited to forecasting electricity price volatility? : evidence from Australian intraday data
Segnon, Mawuli
;
Lau, Chi Keung
;
Wilfling, Bernd
;
Gupta, …
- In:
Studies in nonlinear dynamics and econometrics : SNDE ; …
26
(
2022
)
1
,
pp. 73-98
Persistent link: https://www.econbiz.de/10013334628
Saved in:
2
Intraday return predictability in China's crude oil futures market : new evidence from a unique trading mechanism
Wen, Danyan
;
Wang, Yudong
;
Zhang, Yaojie
- In:
Economic modelling
96
(
2021
),
pp. 209-219
Persistent link: https://www.econbiz.de/10012745351
Saved in:
3
Economic policy uncertainty and the Chinese stock market volatility : novel evidence
Li, Tao
;
Ma, Feng
;
Zhang, Xuehua
;
Zhang, Yaojie
- In:
Economic modelling
87
(
2020
),
pp. 24-33
Persistent link: https://www.econbiz.de/10012416291
Saved in:
4
On the asymmetric impact of macro-variables on volatility
Amendola, Alessandra
;
Candila, Vincenzo
;
Gallo, Giampiero M.
- In:
Economic modelling
76
(
2019
),
pp. 135-152
Persistent link: https://www.econbiz.de/10012198276
Saved in:
5
Harnessing jump component for crude oil volatility forecasting in the presence of extreme shocks
Ma, Feng
;
Liao, Yin
;
Zhang, Yaojie
;
Cao, Yang
- In:
Journal of empirical finance
52
(
2019
),
pp. 40-55
Persistent link: https://www.econbiz.de/10012170621
Saved in:
6
Forecasting the aggregate oil price volatility in a data-rich environment
Ma, Feng
;
Liu, Jing
;
Wahab, M. I. M.
;
Zhang, Yaojie
- In:
Economic modelling
72
(
2018
),
pp. 320-332
Persistent link: https://www.econbiz.de/10012100341
Saved in:
7
Can volume predict Bitcoin returns and volatility? : a quantiles-based approach
Balcilar, Mehmet
;
Bouri, Elie
;
Gupta, Rangan
;
Roubaud, David
- In:
Economic modelling
64
(
2017
),
pp. 74-81
Persistent link: https://www.econbiz.de/10011756479
Saved in:
8
Long memory and structural change in the G7 inflation dynamics
Belkhouja, Mustapha
;
Mootamri, Imene
- In:
Economic modelling
54
(
2016
),
pp. 450-462
Persistent link: https://www.econbiz.de/10011642242
Saved in:
9
A Bayesian method of change-point estimation with recurrent regimes : application to GARCH models
Bauwens, Luc
;
De Backer, Bruno
;
Dufays, Arnaud
- In:
Journal of empirical finance
29
(
2014
),
pp. 207-229
Persistent link: https://www.econbiz.de/10011300484
Saved in:
10
Structural breaks and GARCH models of stock return volatility : the case of South Africa
Babikir, Ali
;
Gupta, Rangan
;
Mwabutwa, Chance
; …
- In:
Economic modelling
29
(
2012
)
6
,
pp. 2435-2443
Persistent link: https://www.econbiz.de/10009673703
Saved in:
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