We use time and frequency connectedness approaches based on network analysis to
investigate the volatility connectedness among 27 emerging equity markets and seven high …

This paper examines the efficiency and asymmetric multifractal features of NFTs, DeFi,
cryptocurrencies, and traditional assets using Asymmetric Multifractal Cross-Correlations …

This study examines asymmetric efficiency and connectedness among halal tourism stocks,
green stocks, cryptocurrency, gold, and oil using data covering the period from 2018M12 …

This study investigates the scale-dependent structure of asymmetric volatility effect in six
representative cryptocurrencies: Bitcoin, Ethereum, Ripple, Litecoin, Monero, and Dash. By …

This paper explores the risk and return characteristics of a large and diverse cross-section of
254 cryptocurrencies that differ in traded volume and main usage. First, we find long …

This paper is motivated by Bitcoin's rapid ascension into mainstream finance and recent
evidence of a strong relationship between Bitcoin and US stock markets. It is also motivated …

This study examines how Islamic and conventional technology stock indices interact with
blockchain technology assets including Metaverse, High-Performance Blockchain, and …

This paper explores the asymmetric effect of COVID-19 pandemic news, as measured by the
coronavirus indices (Panic, Hype, Fake News, Sentiment, Infodemic, and Media Coverage) …

Цель: определение преимуществ и особенностей развития централизованных
цифровых валют, а также перспектив их развития в мире. Методы: исторический …

This study employed variable moving average (VMA) trading rules and heatmap
visualization because the flexibility advantage of the VMA technique and the presentation of …