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subject:"World"
~isPartOf:"Journal of empirical finance"
~subject:"Künstliche Intelligenz"
~subject:"Theory"
~type_genre:"Aufsatz in Zeitschrift"
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World
Künstliche Intelligenz
Theory
Forecasting model
178
Prognoseverfahren
178
Capital income
100
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100
Theorie
74
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Wang, Yudong
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Fałdziński, Marcin
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Fiszeder, Piotr
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Gospodinov, Nikolaj
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Sarno, Lucio
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Wu, Chongfeng
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1
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1
Bai, Lu
1
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Candia Campano, Claudio
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Journal of empirical finance
International journal of forecasting
798
Journal of forecasting
488
Energy economics
145
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
134
European journal of operational research : EJOR
133
Journal of econometrics
131
Technological forecasting & social change : an international journal
120
Finance research letters
115
Computational economics
113
Applied economics
96
Economic modelling
96
Economics letters
90
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85
International review of financial analysis
85
Risks : open access journal
79
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77
Journal of applied econometrics
75
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74
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65
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62
International journal of production research
62
International journal of production economics
58
The North American journal of economics and finance : a journal of financial economics studies
58
International review of economics & finance : IREF
57
The European journal of finance
57
Quantitative finance
56
Journal of risk and financial management : JRFM
55
Journal of economic dynamics & control
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Insurance / Mathematics & economics
48
Journal of financial economics
43
Econometric reviews
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Journal of business research : JBR
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Journal of international financial markets, institutions & money
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Research in international business and finance
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Decision analytics journal
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ECONIS (ZBW)
88
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88
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1
An empirical review of dynamic extreme value models for forecasting value at risk, expected shortfall and expectile
Candia Campano, Claudio
;
Herrera, Rodrigo
- In:
Journal of empirical finance
77
(
2024
),
pp. 1-16
Persistent link: https://www.econbiz.de/10014578542
Saved in:
2
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:
3
Cross-sectional uncertainty and expected stock returns
Yu, Deshui
;
Huang, Difang
- In:
Journal of empirical finance
72
(
2023
),
pp. 321-340
Persistent link: https://www.econbiz.de/10014476861
Saved in:
4
Forecasting realized volatility with machine learning : panel data perspective
Zhu, Haibin
;
Bai, Lu
;
He, Lidan
;
Liu, Zhi
- In:
Journal of empirical finance
73
(
2023
),
pp. 251-271
Persistent link: https://www.econbiz.de/10014477028
Saved in:
5
The effects of economic uncertainty on financial volatility : a comprehensive investigation
Tong, Chen
;
Huang, Zhuo
;
Wang, Tianyi
;
Zhang, Cong
- In:
Journal of empirical finance
73
(
2023
),
pp. 369-389
Persistent link: https://www.econbiz.de/10014477040
Saved in:
6
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:
7
Forecasting realized volatility with wavelet decomposition
Souropanis, Ioannis
;
Vivian, Andrew
- In:
Journal of empirical finance
74
(
2023
),
pp. 1-25
Persistent link: https://www.econbiz.de/10014477112
Saved in:
8
Conditional out-of-sample predictability of aggregate equity returns and aggregate equity return volatility using economic variables
Nonejad, Nima
- In:
Journal of empirical finance
70
(
2023
),
pp. 91-122
Persistent link: https://www.econbiz.de/10014423619
Saved in:
9
Forecasting intraday market risk : a marked self-exciting point process with exogenous renewals
Stindl, Tom
- In:
Journal of empirical finance
70
(
2023
),
pp. 182-198
Persistent link: https://www.econbiz.de/10014423627
Saved in:
10
Modeling and forecasting dynamic conditional correlations with opening, high, low, and closing prices
Fiszeder, Piotr
;
Fałdziński, Marcin
;
Molnár, Peter
- In:
Journal of empirical finance
70
(
2023
),
pp. 308-321
Persistent link: https://www.econbiz.de/10014423712
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