The cryptocurrency market has experienced stunning growth, with market value exceeding USD 1.5 trillion. We use a DCC-MGARCH model to examine the return and volatility spillovers across three distinct classes of cryptocurrencies: coins, tokens, and stablecoins. Our results demonstrate that...

We examine the association of Bitcoin, and other cryptocurrency, returns with changes in inflation expectations. We show that returns of cryptocurrency, and gold, are positively related to changes in US inflation expectations. This relationship holds after controlling for uncertainty in economic...

We examine the relationship between investor attention, and measures of uncertainty, with the market dynamics of Bitcoin, and other cryptocurrencies. We find that increases in investor attention are associated with higher returns, more volatility, and greater illiquidity in cryptocurrency...

Motivated by the lure of cryptocurrencies for retail investors, whose concentrated holdings are particularly exposed to price crash risk, we study the relationship between investor attention and crash risk. Adopting a quantile regression approach, we find that the connection is concentrated in...

The cryptocurrency literature has attempted to identifying factors that explain excess returns. We utilise principal component analysis to determine whether a (small) set of factors can explain returns and whether this varies over time. We find that a substantial proportion of cryptocurrency...