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~subject:"Volatility forecasting"
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Volatility forecasting
Forecasting model
144
Prognoseverfahren
144
Volatility
133
Volatilität
133
Börsenkurs
71
Share price
71
ARCH model
70
ARCH-Modell
70
Aktienmarkt
69
Stock market
69
Capital income
60
Kapitaleinkommen
60
Welt
59
World
59
Oil price
56
Ölpreis
56
Forecast
49
Prognose
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Estimation
48
Schätzung
48
China
44
Risiko
40
Risk
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Theorie
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Theory
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Commodity derivative
35
Oil market
35
Rohstoffderivat
35
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35
Erdöl
26
Petroleum
26
Realized volatility
23
Portfolio selection
20
Portfolio-Management
20
Time series analysis
20
Zeitreihenanalyse
20
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17
Behavioural finance
17
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46
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Ma, Feng
37
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15
Liang, Chao
12
Liu, Jing
8
Wahab, M. I. M.
8
Wang, Lu
7
Wei, Yu
7
Wang, Jiqian
5
Huang, Dengshi
4
Li, Yan
4
Lu, Xinjie
4
Chen, Wang
3
Liu, Li
3
Guo, Xiaozhu
2
Lai, Xiaodong
2
Li, Xiafei
2
Li, Yu
2
Liao, Yin
2
Luu Duc Toan Huynh
2
Tang, Yusui
2
Wang, Yudong
2
Yang, Ke
2
Zhang, Jixiang
2
Bouri, Elie
1
Cao, Yang
1
Chen, Yixiang
1
Chevallier, Julien
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Damette, Olivier
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Ding, Hui
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Duy Duong
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Energy economics
12
International review of economics & finance : IREF
7
Applied economics
5
Economic modelling
4
International review of financial analysis
3
Finance research letters
2
International journal of forecasting
2
Journal of economic behavior & organization
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Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria
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ECONIS (ZBW)
46
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An oil futures volatility forecast perspective on the selection of high-frequency jump tests
Li, Xiafei
;
Liao, Yin
;
Lu, Xinjie
;
Ma, Feng
- In:
Energy economics
116
(
2022
),
pp. 1-18
Persistent link: https://www.econbiz.de/10013542124
Saved in:
2
Global equity market volatilities forecasting : a comparison of leverage effects, jumps, and overnight information
Liang, Chao
;
Li, Yan
;
Ma, Feng
;
Wei, Yu
- In:
International review of financial analysis
75
(
2021
),
pp. 1-16
Persistent link: https://www.econbiz.de/10012804153
Saved in:
3
The role of the IDEMV in predicting European stock market volatility during the COVID-19 pandemic
Li, Yan
;
Liang, Chao
;
Ma, Feng
;
Wang, Jiqian
- In:
Finance research letters
36
(
2020
),
pp. 1-7
Persistent link: https://www.econbiz.de/10012484308
Saved in:
4
The role of model bias in predicting volatility : evidence from the US equity markets
Li, Yan
;
Luo, Lian
;
Liang, Chao
;
Ma, Feng
- In:
China finance review international
13
(
2023
)
1
,
pp. 140-155
Persistent link: https://www.econbiz.de/10014312248
Saved in:
5
Are categorical EPU indices predictable for carbon futures volatility? : Evidence from the machine learning method
Guo, Xiaozhu
;
Huang, Dengshi
;
Li, Xiafei
;
Liang, Chao
- In:
International review of economics & finance : IREF
83
(
2023
),
pp. 672-693
Persistent link: https://www.econbiz.de/10014246784
Saved in:
6
Does the US stock market information matter for European equity market volatility : a multivariate perspective?
Tang, Yusui
;
Ma, Feng
;
Wahab, M. I. M.
;
Wei, Yu
- In:
Applied economics
54
(
2022
)
58
,
pp. 6726-6743
Persistent link: https://www.econbiz.de/10013494246
Saved in:
7
Harnessing the decomposed realized measures for volatility forecasting : evidence from the US stock market
Lu, Botao
;
Ma, Feng
;
Wang, Jiqian
;
Ding, Hui
;
Wahab, M. …
- In:
International review of economics & finance : IREF
72
(
2021
),
pp. 672-689
Persistent link: https://www.econbiz.de/10012672074
Saved in:
8
Forecasting crude oil volatility with geopolitical risk : do time-varying switching probabilities play a role?
Wang, Lu
;
Ma, Feng
;
Hao, Jianyang
;
Gao, Xinxin
- In:
International review of financial analysis
76
(
2021
),
pp. 1-12
Persistent link: https://www.econbiz.de/10012804675
Saved in:
9
The role of uncertainty measures in volatility forecasting of the crude oil futures market before and during the COVID-19 pandemic
Niu, Zibo
;
Ma, Feng
;
Zhang, Hongwei
- In:
Energy economics
112
(
2022
),
pp. 1-12
Persistent link: https://www.econbiz.de/10013350769
Saved in:
10
Oil futures volatility prediction : bagging or combination?
Lyu, Zhichong
;
Ma, Feng
;
Zhang, Jixiang
- In:
International review of economics & finance : IREF
87
(
2023
),
pp. 457-467
Persistent link: https://www.econbiz.de/10014472442
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