After the Covid-shock in March 2020, stock prices declined abruptly, reflecting both the deterioration of investors' expectations of economic activity as well as the surge in aggregate risk aversion. In the following months however, whereas economic activity remained sluggish, equity markets...

This paper shows that China has launched a new global system for cross-border rescue lending to countries in debt distress. We build the first comprehensive dataset on China's overseas bailouts between 2000 and 2021 and provide new insights into China's growing role in the global financial...

We build a cross-sectional factor model for investors' direct stock holdings, by analogy with standard time-series factor models for stock returns. We estimate the model using data from almost 10 million retail accounts in the Indian stock market. We find that stock characteristics such as firm...

In this paper, we take a critical look at the relationship between the value of capital stock in the Indian corporate sector and the valuation of claims to this capital stock in capital markets. We address the question of whether Indian equity valuations over the period 1991- 2008 are consistent...

We use a new firm-level dataset to examine the efficiency of investment in emerging economies. In the three-year period following stock market liberalizations, the growth rate of the typical firm's capital stock exceeds its pre-liberalization mean by an average of 5.4 percentage points....

This paper defines risk-on risk-off (RORO), an elusive terminology in pervasive use, as the variation in global investor risk aversion. Our high-frequency RORO index captures time-varying investor risk appetite across multiple dimensions: advanced economy credit risk, equity market volatility,...

This paper analyzes the performance of heteroskedasticity-and-autocorrelation-consistent (HAC) covariance matrix estimators in which the residuals are prewhitened using a vector autoregressive (VAR) filter. We highlight the pitfalls of using an arbitrarily fixed lag order for the VAR filter, and...

The problem of how to control for covariates is endemic in evaluation research. Covariate-matching provides an appealing control strategy, but with continuous or high-dimensional covariate vectors, exact matching may be impossible or involve small cells. Matching observations that have the same...