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...

Using newly digitized data on the growth of the telegraph network in America during 1840-1852, the paper studies the impacts of the electric telegraph on national elections. I use proximity to daily newspapers with telegraphic connections to Washington to generate plausibly exogenous variation...

This paper considers estimation of semi-nonparametric GARCH filtered copula models in which the individual time series are modelled by semi-nonparametric GARCH and the joint distributions of the multivariate standardized innovations are characterized by parametric copulas with nonparametric...

We proposed a method to estimate extreme conditional quantiles by combining quantile GARCH model of Xiao and Koenker (2009) and extreme value theory (EVT) approach. We first estimate the latent volatility process using the information of intermediate quantiles. We then apply EVT to the tail...

We introduce the Realized Exponential GARCH model that can utilize multiple realized volatility measures for the modeling of a return series. The model specifies the dynamic properties of both returns and realized measures, and is characterized by a flexible modeling of the dependence between...

Reasonable assessments of the impact of information infrastructure construction on entrepreneurship will support the development of the digital economy in China. Using nationwide data from 2005 to 2017, this paper analyzes the causal effect of the “Broadband China” pilot policy on...

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...