Academic research relies heavily on exogenous drivers to improve the forecasting accuracy of Bitcoin volatility. The present study provides additional insight into the role of macroeconomic and technical indicators in forecasting the realized volatility of Bitcoin. Using 17 famous macroeconomic...

This paper comprehensively investigates the connection between oil futures volatility and the financial market based on a data-rich and model-rich environment, which contains traditional prediction models, machine learning models, and combination models. The results highlight the efficiency of...

This study investigates the role of oil futures price information on forecasting the US stock market volatility using the HAR framework. In-sample results indicate that oil futures intraday information is helpful to increase the predictability. Moreover, compared to the benchmark model, the...

A well-documented finding is that explicitly using jumps cannot efficiently enhance the predictability of crude oil price volatility. To address this issue, we find a phenomenon, "momentum of jumps" (MoJ), that the predictive ability of the jump component is persistent when forecasting the oil...

As economic growth and energy consumption are strongly correlated, this research proposes a novel set of energy consumption indices (ECI) that leverages the mixing-frequency method to predict GDP growth rates. The findings demonstrate that the newly developed indices have strong predictive...

Using daily data of COVID-19 fear index and stock indices of 29 European countries over the period from January 1, 2020 to September 17, 2020, this study finds no evidence of adverse impact of COVID-19 outbreak on European stock markets at the level of full sample nor at European sub-regional...

Using daily data of COVID-19 fear index and stock indices of 29 European countries over the period from January 1, 2020 to September 17, 2020, this study finds no evidence of adverse impact of COVID-19 outbreak on European stock markets at the level of full sample nor at European sub-regional...