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Exchange rates forecasting and trend analysis after the COVID-19 outbreak : new evidence from interpretable machine learning
Su, Zhi; Cai, Xuanye; Wu, You - In: Applied economics letters 30 (2023) 15, pp. 2052-2059
Persistent link: https://www.econbiz.de/10014324871
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Asymmetric impact of the COVID-19 pandemic on foreign exchange markets : evidence from an extreme quantile approach
Ngo Thai Hung; Xuan Vinh Vo - In: Economics and Business Letters : EBL 12 (2023) 1, pp. 20-32
Persistent link: https://www.econbiz.de/10014250446
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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
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Pandemic-induced fear and government policy response as a measure of uncertainty in the foreign exchange market : evidence from (a)symmetric wild bootstrap likelihood ratio test
Kathuria, Khyati; Kumar, Nand - In: Pacific economic review 27 (2022) 4, pp. 361-379
Persistent link: https://www.econbiz.de/10013415335
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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
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Using deep (machine) learning to forecast US inflation in the COVID-19 era
Stoneman, David; Duca, John V. - In: Journal of forecasting 43 (2024) 4, pp. 894-902
Persistent link: https://www.econbiz.de/10014554047
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Forecasting power of infectious diseases-related uncertainty for gold realized variance
Bouri, Elie; Gkillas, Konstantinos; Gupta, Rangan; … - In: Finance research letters 42 (2021), pp. 1-6
Persistent link: https://www.econbiz.de/10014581420
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Foreign exchange volatility and the bubble formation in financial markets : evidence from the COVID-19 pandemic
Özdemir, Onur - In: Mokslo darbai / Ekonomika / Vilniaus Universitetas 101 (2022) 1, pp. 142-161
Persistent link: https://www.econbiz.de/10013357240
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Improving the short-term forecast of world trade during the Covid-19 pandemic using SWIFT data on letters of credit
Carton, Benjamin; Hu, Nan; Mongardini, Joannes; Moriya, Kei - 2020
An essential element of the work of the Fund is to monitor and forecast international trade. This paper uses SWIFT … (PMI), to improve the short-term forecast of international trade. A horse race between linear regressions and machine …
Persistent link: https://www.econbiz.de/10012392595
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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