COP21 implementation should lead to a decline in the future demand for fossil fuels. One key implication for investors is how to manage this risk. We construct a monthly stock and oil market integration index and demonstrate that oil investors can offset adverse oil price risk by holding...

This paper analyzes whether realized higher moments are able to predict out-of-sample sovereign bond returns using high-frequency data from the European bond market. We study bond return predictability over tranquil and crisis periods and across core and periphery markets at the index and...

We use a GARCH dummy model to study the influence of calendar effects on daily conditional returns and volatility of Bitcoin during the period 2013–2019. The Halloween, day-of-the-week (DOW), and month-of-the-year (MOY) effects are analyzed. Our results reveal no evidence of a Halloween...

Several authors, including Andersen and Bollerslev (1998), stress the importance of long-term volatility dependence for value-at-risk (VaR) prediction. The present paper addresses multiple-period market risk forecasts under long memory persistence in market volatility. To this aim, we propose...

This paper contributes to the equity premium prediction literature by studying the performance of rarely not researched predictors. To do so, we analyze the ability of state-of-the-art liquidity and uncertainty predictors to beat the historical average when forecasting the monthly U.S. equity...