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COVID-19
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Brodeur, Abel
55
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53
Dang, Hai-Anh H.
37
Fairlie, Robert W.
33
Clark, Andrew E.
31
Davis, Steven J.
27
Beland, Louis-Philippe
24
Bouri, Elie
24
Chen, Xi
24
Hayo, Bernd
24
D'Ambrosio, Conchita
23
Lepinteur, Anthony
23
Weber, Michael
23
Aksoy, Cevat Giray
22
Bloom, Nicholas
22
Dräger, Lena
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Hayakawa, Kazunobu
22
Christl, Michael
21
De Poli, Silvia
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Kritikos, Alexander
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Naeem, Muhammad Abubakr
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Toan Luu Duc Huynh
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Bertocchi, Graziella
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Davillas, Apostolos
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Dimico, Arcangelo
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Naudé, Wim
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Fisher, Paul
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Wright, Taylor
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Alvarez-Risco, Aldo
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Gorodnichenko, Yuriy
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Low, Hamish
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Mikola, Derek
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Xuan Vinh Vo
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Verlag C.H. Beck
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Peter Lang GmbH
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FAO
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German Institute for Global and Area Studies
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Metropolis-Verlag für Ökonomie Gesellschaft und Politik GmbH
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European Foundation for the Improvement of Living and Working Conditions
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Journal of Risk and Financial Management
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Applied economics letters
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Socio-economic planning sciences : the international journal of public sector decision-making
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Cogent business & management
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Economics letters
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Working paper series
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International journal of contemporary hospitality management
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Corona und die gesellschaftlichen Folgen: Schlaglichter aus der WZB-Forschung
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1
The role of higher moments in predicting China's oil futures
volatility
: evidence from machine learning models
Zhang, Hongwei
;
Zhao, Xinyi
;
Gao, Wang
;
Niu, Zibo
- In:
Journal of commodity markets
32
(
2023
),
pp. 1-27
Persistent link: https://www.econbiz.de/10014495762
Saved in:
2
Probabilistic
forecasting
of daily COVID-19 admissions using machine learning
Rostami-Tabar, Bahman
;
Arora, Siddharth
; …
- In:
IMA journal of management mathematics
35
(
2024
)
1
,
pp. 21-43
Persistent link: https://www.econbiz.de/10014526090
Saved in:
3
The prediction of new Covid-19 cases in Poland with machine learning models
Chwila, Adam
- In:
Statistics in transition : an international journal of …
24
(
2023
)
2
,
pp. 59-83
the world. In this paper, we propose several possible machine learning approaches to
forecasting
new confirmed COVID-19 …
Persistent link: https://www.econbiz.de/10015052101
Saved in:
4
Forecasting
power of infectious diseases-related uncertainty for gold realized variance
Bouri, Elie
;
Gillas, Konstantinos Gkillas
;
Gupta, Rangan
; …
- In:
Finance research letters
42
(
2021
),
pp. 1-6
Persistent link: https://www.econbiz.de/10014581420
Saved in:
5
Foreign exchange
volatility
and the bubble formation in financial markets : evidence from the COVID-19 pandemic
Özdemir, Onur
- In:
Mokslo darbai / Vilniaus Universitetas
101
(
2022
)
1
,
pp. 142-161
Persistent link: https://www.econbiz.de/10013357240
Saved in:
6
Weekly
forecasting
of new COVID-19 cases using past viral load measurements
Khalil, Athar
;
Handawi, Khalil Al
;
Mohsen, Zeina
;
Nour, …
-
2022
-
Revised: May 2022
Persistent link: https://www.econbiz.de/10013341253
Saved in:
7
Does disease outbreak news impact equity, commodity and foreign exchange market? : investors' fear of the pandemic COVID-19
Shaikh, Imlak
;
Toan Luu Duc Huynh
- In:
Journal of economic studies
49
(
2022
)
4
,
pp. 647-664
Persistent link: https://www.econbiz.de/10013352765
Saved in:
8
A machine learning approach to predicting bicycle demand during the COVID-19 pandemic
Baumanis, Carolina
;
Hall, Jennifer
;
Machemehl, Randy
- In:
Research in transportation economics
100
(
2023
),
pp. 1-13
Persistent link: https://www.econbiz.de/10014456400
Saved in:
9
Trend-based
forecast
of cryptocurrency returns
Tan, Xilong
;
Tao, Yubo
- In:
Economic modelling
124
(
2023
),
pp. 1-13
Persistent link: https://www.econbiz.de/10014463299
Saved in:
10
Stock market prediction, COVID-19 pandemic and neural networks : an SCG algorithm application
Goel, Himanshu
;
Som, Bhupender Kumar
- In:
Economia : revista da ANPEC
24
(
2023
)
1
,
pp. 134-146
variables identified from the literature for two sub periods, i.e. the pre-
coronavirus
disease 2019 (COVID-19) (June 2011 …
Persistent link: https://www.econbiz.de/10014418102
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