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

Individuals invest in Environmental-Social-Governance (ESG)-assets not only because of
(higher) expected returns but also driven by ethical and social considerations. Less is known …

In the blockchain world, proof-of-work is the dominant protocol mechanism that determines
the consensus of the ledger. The hashrate, a measure of the computational power directed …

Understanding the interplay between investor sentiment and cryptocurrency returns has
become a critical area of research. Indeed, this study aims to uncover the role of Google …

This study investigates how NFT design features affect project performance. From the
consumption perspective, NFT design features are divided into competency-related (image …

This article explores the cointegration, co-movement, and causality relationships amongst
the equity, debt, and cryptocurrency markets to determine the risk diversification possibilities …

This study investigates whether representative sectoral stock indices, gold, oil, Bitcoin, and
wheat can mitigate risk and improve portfolio performance during normal times versus …

Cryptocurrencies exhibit unique statistical and dynamic properties compared to those of
traditional financial assets, making the study of their volatility crucial for portfolio managers …

Cross-market volatility dynamics in crypto and traditional financial instruments: quantifying the
spillover effect | Emerald Insight Books and journals Case studies Expert Briefings Open …

This research employs a qualitative technique to examine the complexities of settlement risk
in Lebanese banks against the backdrop of the country's volatile economic environment …