[HTML][HTML] Forecasting cryptocurrencies volatility using statistical and machine learning methods: A comparative study

G Dudek, P Fiszeder, P Kobus, W Orzeszko - Applied Soft Computing, 2024 - Elsevier
Forecasting cryptocurrency volatility can help investors make better-informed investment
decisions in order to minimize risks and maximize potential profits. Accurate forecasting of …

Do cryptocurrency investors in the UK need more protection?

Y Wang - Journal of Financial Regulation and Compliance, 2024 - emerald.com
Purpose The existing literature offers various perspectives on integrating cryptocurrencies
into investment portfolios; yet, there is a gap in understanding the behaviours, attitudes and …

Exploring the Relationship and Predictive Accuracy for the Tadawul All Share Index, Oil Prices, and Bitcoin Using Copulas and Machine Learning

SA Alokley, S Araichi, G Alomair - Energies, 2024 - mdpi.com
Financial markets are increasingly interlinked. Therefore, this study explores the complex
relationships between the Tadawul All Share Index (TASI), West Texas Intermediate (WTI) …

Joint Impact of Market Volatility and Cryptocurrency Holdings on Corporate Liquidity: A Comparative Analysis of Cryptocurrency Exchanges and Other Firms.

N Lee - Journal of Risk & Financial Management, 2024 - search.ebscohost.com
This study examines the impact of market volatility and cryptocurrency holdings on corporate
liquidity, with a particular focus on the differences between cryptocurrency exchanges and …

Bitcoin as a National Currency: A Case Study for the Czech Republic.

M Vochozka, M Škoda, RK MOL RAJ… - Acta Montanistica …, 2024 - search.ebscohost.com
In an era of changing financial landscapes, the position of cryptocurrencies like Bitcoin as
possible national currencies is worth investigating. This study investigates Bitcoin's …

[PDF][PDF] A Comprehensive Survey of Cryptocurrency Forecasting: Methods, Trends, and Challenges

M Yousaf, M Tariq, A Jabbar, SQ Jalil - 2024 - preprints.org
This comprehensive survey paper explores the diverse landscape of cryptocurrency
forecasting, tracing its evolution from an alternative to traditional monetary systems to its …

Predicting Bitcoin Volatility using Temporal Fusion Transformer

S Lødøen, M Myklebust - 2024 - ntnuopen.ntnu.no
Vi undersøker og sammenligner evnen avanserte maskinlæringsmodeller og tradisjonelle
økonometriske modeller har til å predikere volatilitet en dag fermover i tid for Bitcoin, med …