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...

We examine the investor sentiment and limits-to-arbitrage explanations for the positive cross-sectional relation between cash holdings and future stock returns. Consistent with the investor sentiment hypothesis, we find that the cash holding effect is significant when sentiment is low, and it is...

This article examines the role of idiosyncratic volatility in explaining the cross-sectional variation of size- and value-sorted portfolio returns. We show that the premium for bearing idiosyncratic volatility varies inversely with the number of stocks included in the portfolios. This conclusion...