We investigate the effects of economic uncertainty on the return volatility of financial assets, including equities, bonds, foreign exchange and commodities. We use several popular measures of economic uncertainty, and find the uncertainty displays significant but heterogeneous effect on...

We use heterogeneous autoregressive (HAR) model with high-frequency data of Hu-Shen 300 index to investigate the volatility-volume relationship via the volatility decomposition approach. Although we find that the continuous component of daily volatility is positively correlated with trading...

Realized measures of volatility based on high frequency data contain valuable information about the unobserved conditional volatility. In this paper, we use the Realized GARCH model developed by Hansen, Huang and Shek (2012) to estimate and forecast price volatility for four agricultural...

Urban development thrives from technology inflows, which refers to the transfer of high-value technology from various cities to local recipients. The asymmetry of technical information-rooted in the tacit knowledge inherent in technology-mandates that technology transfer is heavily dependent on...

This paper develops textual sentiment measures for China's stock market by extracting the textual tone of 60 million messages posted on a major online investor forum in China from 2008 to 2018. We conduct sentiment extraction by using both conventional dictionary methods based on customized word...

In this paper, we collect the annual data of 145 commercial banks in China from 2010 to 2019 and use a panel data fixed-effect model to study how fintech (financial technology) affects the influence of macroeconomic uncertainty on commercial banks' proactive risk-taking. We find that the...