A differential evolution-based regression framework for forecasting Bitcoin price

DOI10.1007/S10479-021-04000-8zbMath1478.62310OpenAlexW3134207303MaRDI QIDQ2070699

Yanyan Li

Publication date: 24 January 2022

Published in: Annals of Operations Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10479-021-04000-8

zbMATH Keywords

differential evolutionsupport vector regressionBitcoinmaximal overlap discrete wavelet transformationpolynomial regression with interaction

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Applications of statistics to actuarial sciences and financial mathematics (62P05) Nontrigonometric harmonic analysis involving wavelets and other special systems (42C40) Learning and adaptive systems in artificial intelligence (68T05)

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Cites Work

• Unnamed Item
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• A data analytic approach to forecasting daily stock returns in an emerging market
• Bitcoin price forecasting with neuro-fuzzy techniques
• Market risk and Bitcoin returns
• Bond market and macroeconomic stability in East Asia: a nonlinear causality analysis
• Sieve bootstrap for time series
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• Evolutionary-based return forecasting with nonlinear STAR models: evidence from the Eurozone peripheral stock markets
• Cryptocurrency forecasting with deep learning chaotic neural networks
• Detecting bubbles in bitcoin price dynamics via \textit{market exuberance}
• A further analysis of robust regression modeling and data mining corrections testing in global stocks

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