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~person:"Chevallier, Julien"
~person:"Karathanasopoulos, Andreas"
~person:"Ma, Feng"
~person:"Winter-Ebmer, Rudolf"
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Chevallier, Julien
Karathanasopoulos, Andreas
Ma, Feng
Winter-Ebmer, Rudolf
So, Mike Ka-pui
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ECONIS (ZBW)
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1
Forecasting realized volatility of Bitcoin : the informative role of price duration
Slim, Skander
;
Tabche, Ibrahim
;
Koubaa, Yosra
;
Osman, …
- In:
Journal of forecasting
42
(
2023
)
7
,
pp. 1909-1929
Persistent link: https://www.econbiz.de/10014432802
Saved in:
2
Forecasting latent volatility through a Markov chain approximation filter
Lo, Chia Chun
;
Skindilias, Konstantinos
; …
- In:
Journal of forecasting
35
(
2016
)
1
,
pp. 54-69
Persistent link: https://www.econbiz.de/10011417712
Saved in:
3
Forecasting oil futures realized range-based volatility with jumps, leverage effect, and regime switching : new evidence from MIDAS models
Lu, Xinjie
;
Ma, Feng
;
Wang, Jiqian
;
Liu, Jing
- In:
Journal of forecasting
41
(
2022
)
4
,
pp. 853-868
Persistent link: https://www.econbiz.de/10013287870
Saved in:
4
Forecasting international equity market volatility : a new approach
Liang, Chao
;
Li, Yan
;
Ma, Feng
;
Zhang, Yaojie
- In:
Journal of forecasting
41
(
2022
)
7
,
pp. 1433-1457
Persistent link: https://www.econbiz.de/10013465704
Saved in:
5
A tug of war of forecasting the US stock market volatility : oil futures overnight versus intraday information
Ma, Feng
;
Wahab, M. I. M.
;
Chevallier, Julien
;
Li, Ziyang
- In:
Journal of forecasting
42
(
2023
)
1
,
pp. 60-75
Persistent link: https://www.econbiz.de/10013465762
Saved in:
6
Which factors drive Bitcoin volatility : macroeconomic, technical, or both?
Wang, Jiqian
;
Ma, Feng
;
Bouri, Elie
;
Guo, Yangli
- In:
Journal of forecasting
42
(
2023
)
4
,
pp. 970-988
Persistent link: https://www.econbiz.de/10014292892
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