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~isPartOf:"International review of economics & finance : IREF"
~isPartOf:"Journal of empirical finance"
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Prognoseverfahren
Commodity derivative
64
Rohstoffderivat
64
Volatility
37
Volatilität
37
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30
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Ma, Feng
2
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1
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1
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Energy policy
International review of economics & finance : IREF
Journal of empirical finance
Energy economics
57
The journal of futures markets
16
Economic modelling
13
International journal of forecasting
13
Finance research letters
10
Journal of forecasting
10
International review of financial analysis
9
Applied economics
7
Journal of agricultural and resource economics : JARE ; the journal of the Western Agricultural Economics Association
7
Journal of banking & finance
7
Journal of commodity markets
7
The energy journal
7
Journal of international money and finance
6
Research in international business and finance
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American journal of agricultural economics
4
International journal of finance & economics : IJFE
4
NBER working paper series
4
Technological forecasting & social change : an international journal
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The North American journal of economics and finance : a journal of financial economics studies
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Agricultural economics : the journal of the International Association of Agricultural Economists
3
Applied economics letters
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Discussion paper / Tinbergen Institute
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Emerging markets, finance and trade : EMFT
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Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria
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European journal of operational research : EJOR
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European review of agricultural economics : ERAE
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Commodity futures returns and policy uncertainty
Bannigidadmath, Deepa
;
Narayan, Paresh Kumar
- In:
International review of economics & finance : IREF
72
(
2021
),
pp. 364-383
Persistent link: https://www.econbiz.de/10012671942
Saved in:
2
Uncover the response of the US grain commodity market on El Niño-Southern Oscillation
Su, Yuandong
;
Liang, Chao
;
Zhang, Li
;
Zeng, Qing
- In:
International review of economics & finance : IREF
81
(
2022
),
pp. 98-112
Persistent link: https://www.econbiz.de/10013343509
Saved in:
3
Volatility forecasting of crude oil market : can the regime switching GARCH model beat the single-regime GARCH models?
Zhang, Yue-jun
;
Yao, Ting
;
He, Ling-yun
;
Ripple, Ronald D.
- In:
International review of economics & finance : IREF
59
(
2019
),
pp. 302-317
Persistent link: https://www.econbiz.de/10012202881
Saved in:
4
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:
5
Realized volatility forecast of agricultural futures using the HAR models with bagging and combination approaches
Yang, Ke
;
Tian, Fengping
;
Chen, Langnan
;
Li, Steven
- In:
International review of economics & finance : IREF
49
(
2017
),
pp. 276-291
Persistent link: https://www.econbiz.de/10011748442
Saved in:
6
On the predictive accuracy of crude oil futures prices
Abosedra, Salah S.
;
Baghestani, Hamid
- In:
Energy policy
32
(
2004
)
12
,
pp. 1389-1393
Persistent link: https://www.econbiz.de/10002020235
Saved in:
7
Time series momentum and reversal : intraday information from realized semivariance
Liu, Zhenya
;
Lu, Shanglin
;
Li, Bo
;
Wang, Shixuan
- In:
Journal of empirical finance
72
(
2023
),
pp. 54-77
Persistent link: https://www.econbiz.de/10014476799
Saved in:
8
The commodity risk premium and neural networks
Rad, Hossein
;
Low, Rand Kwong Yew
;
Miffre, Joëlle
; …
- In:
Journal of empirical finance
74
(
2023
),
pp. 1-20
Persistent link: https://www.econbiz.de/10014477111
Saved in:
9
Investor sentiment and predictability for volatility on energy futures Markets : evidence from China
Chen, Rongda
;
Bao, Weiwei
;
Jin, Chenglu
- In:
International review of economics & finance : IREF
75
(
2021
),
pp. 112-129
Persistent link: https://www.econbiz.de/10012692455
Saved in:
10
Forecasting oil price volatility using high-frequency data : new evidence
Chen, Wang
;
Ma, Feng
;
Wei, Yu
;
Liu, Jing
- In:
International review of economics & finance : IREF
66
(
2020
),
pp. 1-12
Persistent link: https://www.econbiz.de/10012390514
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