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BUSINESS & ECONOMICS / Forecasting
Paper · Semantic Scholar
The Evaluation Problem in Cryptocurrency Price Forecasting with Machine Learning and Deep Learning: A Problem-Centric Systematic Review of 48 Studies (2018–2025)Purpose – Cryptocurrency price forecasting with machine learning (ML) and deep learning (DL) has produced 48 Scopus-indexed journal articles since 2018, yet the same LSTM architecture applied to Bitcoin daily closing prices yields mean absolute percentage errors ranging from 1.7% to 4.8% across papers in this corpus. This review examines why the literature fails to accumulate knowledge despite growing output and ide…
Reference · Wikidata
Forecasting exchange rate returns and transaction costs2014 master's thesis by Ro Cho at Massey University
Book · DOAB
Entropy Application for ForecastingThis book shows the potential of entropy and information theory in forecasting, including both theoretical developments and empirical applications. The contents cover a great diversity of topics, such as the aggregation and combination of individual forecasts, the comparison of forecasting performance, and the debate concerning the tradeoff between complexity and accuracy. Analyses of forecasting uncertainty, robust…
