Information-based models of capital income inequality that link return heterogeneity to investor sophistication levels need to assume an increase in data costs to generate an increase in inequality. Empirically, this assumption contradicts the fact that investment markets have become more...

How do banks offer mortgages through on online platform to areas without their branch presence? Unique data on responses from different banks to applicant households yield three salient findings: First, banks offer 4% more often and 6 basis points cheaper credit when markets have high versus low...

We document the effects of the COVID-19 pandemic on digital finance and fintech adoption and usage. Drawing on mobile application data from 71 countries, we estimate that the spread of COVID-19 and related government lockdowns led to between a 33.1 and 36.6 percent increase in the relative rate...

Our objective is to understand the trading strategy that would allow an investor to take advantage of quot;excessivequot; stock price volatility and quot;sentimentquot; fluctuations. We construct a general equilibrium model of sentiment. In it, there are two classes of agents and stock prices...

I model a financial market that dries out in the wake of premature liquidations. Two main results are obtained. First, liquidity may vanish even if small, riskneutral buyers could easily compensate the ongoing selling. Thus, more markets are vulnerable to quot;runsquot; than suggested by...

We use a parametric portfolio approach to estimate optimal commercial real estate portfolio policies. We do so using the NCREIF data set of commercial properties over the sample period 1984:Q2 to 2009:Q1. The richness of this extensive data set and the flexibility of the parametric portfolio...

We use a quantile-based measure of conditional skewness (or asymmetry) that is robust to outliers and therefore particularly suited for recalcitrant series such as emerging market returns. Our study is on the following portfolio returns: developed markets, emerging markets, the world, and...

Testing procedures for predictive regressions with lagged autoregressive variables imply a suboptimal inference in presence of small violations of ideal assumptions. We propose a novel testing framework resistant to such violations, which is consistent with nearly integrated regressors and...

We estimate a general microstructure model of the transitory and permanent impact of order flow on stock prices. Jumps are detected in both the transaction price (observation equation) and fundamental value (state equation). The model's parameters and variances are updated in real time. Prices...

Our paper reexamines whether 29 variables from 26 papers published after Goyal and Welch (2008), as well as the original 17 variables, were useful in predicting the equity premium in-sample and out-of-sample. Our samples include the original periods in which these variables were identified, but...