Although many studies in macroeconomics have examined the role of insurance in the presence of income risk, whether aggregate shocks are insurable has not been sufficiently investigated. We present a simple two-period general equilibrium model to show the conditions under which insurance against...

Using confidential microdata, we show that shocks to primary dealers' risk-bearing constraints have significant effects on the US Treasury securities market. In response to tighter constraints, dealers reduce their Treasury positions, triggering a reduction in aggregate turnover and an increase...

Our study is the first to examine the pricing effect of U.S. trade policy uncertainty (TPU) on Chinese stocks. We estimate the U.S. TPU beta, which measures Chinese stock exposure to the U.S. TPU index. Both portfolio analyses and cross-sectional regressions suggest a significantly negative...

We estimate the relative signal jump variance (RSJV) as the difference between the realized positive half-variance and negative half-variance divided by the realized variance using high-frequency intraday data and investigate its role in the cross-sectional pricing in the Chinese stock market....

We study investors' perceptions of inflation through the lens of a high-frequency event study and document that they have a stagflationary view of the world. In response to higher-than-expected inflation, investors expect firms' nominal cash flows to remain stagnant while discount rates...

In this study, we investigate the tail dependency between bank stocks in China and 35 common risk factors. We measure univariate and multivariate conditional tail risk probabilities. The evidence indicates that tail events from risk factors in the banking, security trading, real estate, and...

We study the effects of a price transparency shock in the Brazilian OTC equity lending market. Previously, a publicly available stock-specific loan fee benchmark was the average fee of the past 15 trading days. On March 1, 2011, this interval was reduced to 3 days, significantly improving...