This paper examines the effect of online investor, the FEARS index of Da et al. (2015) and Twitter Happiness sentiment. Applying the DCC-GARCH model we fund that Fears seem to be a persistent and strong predictor for Bitcoin returns. Though happiness, is persistent in roughly all G7 markets and...

Applying a GARCH-S analysis to a daily dataset of eight cryptocurrencies, along with seven equity market indices for advanced countries, and seven equity market indices for emerging economies, for June 2018–June 2021, we find that cryptocurrencies have higher probability of crash risk than...

The study investigates the effects of stock market volatility and cybercrime on cryptocurrency returns in the South African economy. Daily time series data on four different types of cryptocurrencies (Bitcoin, Ethereum, Tether, and BMB) were employed. The data covers the period from 1 January...

This paper investigated the relationship between cryptocurrencies and emerging stock market indices using fractional integration and co-integration technique. Particularly, fractional integration is applied to examine stochastic properties of individual assets and fractional cointegration to...

This research examines the correlations between the return volatility of cryptocurrencies, global stock market indices, and the spillover effects of the COVID-19 pandemic. For this purpose, we employed a two-stage multivariate volatility exponential GARCH (EGARCH) model with an integrated...