A systematic literature review of volatility and risk management on cryptocurrency investment: A methodological point of view

J Almeida, TC Gonçalves - Risks, 2022 - mdpi.com
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 …

[HTML][HTML] Models used to characterise blockchain features. A systematic literature review and bibliometric analysis

JJ Rico-Pena, R Arguedas-Sanz, C Lopez-Martin - Technovation, 2023 - Elsevier
Blockchain has emerged as an innovative technology with potential to transform business
management, through operational efficiency improvements. Nevertheless, several …

Forecasting Bitcoin prices using artificial intelligence: Combination of ML, SARIMA, and Facebook Prophet models

J Cheng, S Tiwari, D Khaled, M Mahendru… - … Forecasting and Social …, 2024 - Elsevier
In recent years, investors, corporations, and enterprises have shown great interest in the
Bitcoin network; thus, promoting its products and services is crucial. This study utilizes an …

On forecasting cryptocurrency prices: A comparison of machine learning, deep learning, and ensembles

K Murray, A Rossi, D Carraro, A Visentin - Forecasting, 2023 - mdpi.com
Traders and investors are interested in accurately predicting cryptocurrency prices to
increase returns and minimize risk. However, due to their uncertainty, volatility, and …

The environmental consequences of blockchain technology: A Bayesian quantile cointegration analysis for Bitcoin

ML Polemis, MG Tsionas - International Journal of Finance & …, 2023 - Wiley Online Library
In recent years, there is a widespread belief among researchers and academicians that
Bitcoin usage is imposing an additional burden on the environment inducing climate …

Comparison of risk forecasts for cryptocurrencies: A focus on Range Value at Risk

FM Müller, SS Santos, TW Gössling, MB Righi - Finance Research Letters, 2022 - Elsevier
Abstract We forecast the Range Value at Risk (RVaR) of main cryptocurrencies using the
GARCH model with different error distributions. We compare the performance of the different …

A comparison of methods for forecasting value at risk and expected shortfall of cryptocurrencies

C Trucíos, JW Taylor - Journal of forecasting, 2023 - Wiley Online Library
Several procedures to forecast daily risk measures in cryptocurrency markets have been
recently implemented in the literature. Among them, long‐memory processes, procedures …

Bubble detection in Bitcoin and Ethereum and its relationship with volatility regimes

R Diniz, D de Prince, L Maciel - Journal of Economic Studies, 2022 - emerald.com
Bubble detection in Bitcoin and Ethereum and its relationship with volatility regimes | Emerald
Insight Books and journals Case studies Expert Briefings Open Access Publish with us …

Uncertainty and risk in the cryptocurrency market

D Almeida, A Dionísio, I Vieira, P Ferreira - Journal of Risk and Financial …, 2022 - mdpi.com
Cryptocurrency investments are often perceived as uncertain and risky. In this study, we
assessed if this is indeed the case, using a sample of seven cryptocurrencies and …

Assessing the credit risk of crypto-assets using daily range volatility models

D Fantazzini - Information, 2023 - mdpi.com
In this paper, we analyzed a dataset of over 2000 crypto-assets to assess their credit risk by
computing their probability of death using the daily range. Unlike conventional low …