In this study, we explore the research published from 2009 to 2021 and summarize what
extant literature has contributed in the last decade to the analysis of volatility and risk …

This study aims to systematically analyze and synthesize the literature produced thus far on
cryptocurrency investment. We use a systematic review process supported by VOSviewer …

Abstract The combination of Deep Learning and GARCH-type models has been proved to
be superior to the single models in forecasting of volatility in various markets such as …

This paper focuses on the prediction of cryptocurrency volatility. The stock market volatility
represents a very influential aspect that affects a wide range of decisions in business and …

This paper applies deep learning models to predict Bitcoin price directions and the
subsequent profitability of trading strategies based on these predictions. The study …

Financial markets across the globe have seen rapid volatility and uncertainty owing to scary
and disruptive impacts of COVID-19 pandemic. Mayhem wrecked by frequent lockdowns …

The high penetration rate of distributed energy brings severe challenges to the dispatch and
operation of power systems. Improving the accuracy of short-term power load forecasting …

This paper discusses the application of ensemble techniques for the prediction of time
series, presenting an in‐depth review of the main techniques and algorithms used by the …

Because there is a discrepancy between how individual investors and investment
institutions choose Bitcoin and its new derivatives and Exchange-Traded Funds (ETFs), this …

COVID-19 pandemic has led to uncertainties in the financial markets around the globe. The
pandemic has caused volatilities in the financial market at varying magnitudes, in the …