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The MAPE values for cryptocurrency forecasts in coefficient form for the first half of 2020 (lower values indicate better accuracy). Source: Authors' research.
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Accurate cryptocurrency price forecasting is crucial due to the significant financial implications of prediction errors. The volatile and non-linear nature of cryptocurrencies challenges traditional statistical methods, revealing a gap in effective predictive modelling. This study addresses this gap by examining the impact of activation functions o...
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... cryptocurrency sector was the least affected by the issues related to the spread of COVID-19, as indicated in the test results (Figure 3). In the univariate tests, GRU provided the best predictive performance for Bitcoin, with a MAPE of 0.0301, while RNN had the worst performance with a MAPE of 0.0411. ...
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