Jakub Morkowski https://orcid.org/0000-0001-5727-5089

© Jakub Morkowski. Article available under the CC BY-SA 4.0 licence


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This article examines the impact of the COVID-19 pandemic on the accuracy of forecasts for three currency pairs before and after its outbreak based on neural networks (ELM, MLP and LSTM) in terms of three factors: the forecast horizon, hyper parameterisation and network type.


neural network, currency market, forecasts, COVID-19 pandemic


C45, C53, E44


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