This study investigates whether economic policy uncertainty (EPU) affects the degree of Bitcoin dependency in the crypto market by calculating the Pearson correlation between Bitcoin return and the average return of 19 cryptocurrencies to determine the return dependency. The results indicate...

This study explores whether the technical analysis based on moving average indicator can predict Bitcoin returns during January 2014 and October 2019. First, we find that Bitcoin weekly returns are well predictable by the technical indicator defined as the difference between the log moving...

This study explores the investment behavior of underperforming chief executive officers (CEOs) on merger frequency and the effect on acquirers’ shareholder wealth of merger bids in U.S. industrial firms. We find that underperforming CEOs are more likely to make acquisitions, especially...

This study explores the behavior of underperforming chief executive officers (CEOs) on merger frequency and the effect on acquirers’ shareholder wealth of merger bids in U.S. industrial firms from 1994 to 2018. We find that underperforming CEOs are more likely to make acquisitions, especially...

We study jump variance risk by jointly examining both stock and option markets. We develop a GARCH option pricing model with jump variance dynamics and a non-monotonic pricing kernel featuring jump variance risk premium. The model yields a closed-form option pricing formula and improves in...

We derive the theoretical relation between the term structure of implied variance and the expected excess returns of the underlying asset. Adopting three alternative approaches to compile the variables representing the information on the implied volatility index level and term structure, we show...

We compile option-implied tail loss and gain measures based on a deep out-of-the- money option pricing formula derived by applying ‘extreme value theory', and then use these measures to investigate the information content of option-implied tail risk on the future returns of the underlying...

We investigate whether the global economic activity (GEA) index provided by Kilian (2009) can predict the dynamics of the cryptocurrency. First, we find that the lagged two-month GEA index can predict positively the cryptocurrency monthly returns, especially for Bitcoin. It implies that the...

This paper investigates whether the change of crypto-trading volume can affect the occurrence of terror attacks. We find that an increase in the Bitcoin and Ethereum trading volume is related to the higher probability of the occurrence of terror attacks while other main cryptocurrencies have no...

This paper investigates whether partisan conflict can predict the cryptocurrency return and volatility. First, we find that the change rate of the partisan conflict can predict positively (negatively) the cryptocurrency return (volatility), Bitcoin in particular. Moreover, the findings still...