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Discussion Paper
Impact of Leverage Ratio Relief Announcement and Expiry on Bank Stock Prices
The onset of the Covid-19 pandemic in early 2020 drastically increased uncertainty throughout the economy. This led to turmoil in various financial markets, evidenced by the Dow Jones Industrial Average in March 2020 posting its largest single-day drop since the 2008 global financial crisis.
Working Paper
What is the chance that the equity premium varies over time? evidence from predictive regressions
We examine the evidence on excess stock return predictability in a Bayesian setting in which the investor faces uncertainty about both the existence and strength of predictability. Departing from previous studies, we allow the regressor to be stochastic. When we apply our methods to the dividend-price ratio and payout yield, we find that even investors who are quite skeptical about the existence of predictability sharply modify their views in favor of predictability when confronted by the historical time series of returns and predictor variables. We find that taking into account the ...
Working Paper
The Monetization of Innovation
We develop a dynamic model for digital service firms, which invest in monetization to generate revenues from services provided to customers for free. Our model captures and explains why such firms often build a large customer base and become highly valued while continuing to suffer losses—traditional models would struggle to explain this pattern. Counterfactual analysis reveals that monetization uncertainty slows technological advancement by diverting resources away from innovation. We also show that regulation aimed at protecting user privacy has sizable adverse effect on firm size and the ...
Working Paper
Time-varying Volatility and the Power Law Distribution of Stock Returns
While many studies find that the tail distribution of high frequency stock returns follow a power law, there are only a few explanations for this finding. This study presents evidence that time-varying volatility can account for the power law property of high frequency stock returns. The power law coefficients obtained by estimating a conditional normal model with nonparametric volatility show a striking correspondence to the power law coefficients estimated from returns data for stocks in the Dow Jones index. A cross-sectional regression of the data coefficients on the model-implied ...
Working Paper
Finance and Productivity Growth: Firm-level Evidence
Using data on a broad set of European firms, we find a strong positive relationship between the use of external financing and future productivity (TFP) growth within firms. This relationship is robust to various measures of financing and productivity, and strengthens as financing costs increase. We provide evidence against a reverse-causality explanation by showing that this relationship arises from the component of TFP that is outside the information set of the firm. These findings indicate that financial development supports productivity growth within firms, and helps explain why economic ...
Working Paper
An efficiency perspective on the gains from mergers and asset purchases
A simple efficiency-based view states that acquisitions shift assets to more productive owners. This implies that expected returns from acquisitions increase with transaction value. We propose using the sensitivity of abnormal returns to scaled transaction value as a measure of efficiency gains. Using this method, we find that the average acquirer obtains an increase of 3% - 5% in the value of the acquired assets. However, efficiency gains vary sharply across acquirer and deal characteristics. We find statistical significance for interactions of relative value and variables known to affect ...
Working Paper
Mapping Heat in the U.S. Financial System
We provide a framework for assessing the build-up of vulnerabilities in the U.S. financial system. We collect forty-four indicators of financial and balance-sheet conditions, cutting across measures of valuation pressures, nonfinancial borrowing, and financial-sector health. We place the data in economic categories, track their evolution, and develop an algorithmic approach to monitoring vulnerabilities that can complement the more judgmental approach of most official-sector organizations. Our approach picks up rising imbalances in the U.S. financial system through the mid-2000s, presaging ...
Discussion Paper
Matching Banks by Business Model, Geography and Size : A Dataset
In this note, we describe an algorithm, developed in Carlson, Shan, and Warusawitharana (2013), to match banks that are geographically close and are similar in size and business model. Concurrently, we also release a data set of matched banks obtained from applying this algorithm from 1998 to 2014, as well as some of the associated computer programs.
Working Paper
Capital ratios and bank lending: a matched bank approach
This paper examines the impact of bank capital ratios on bank lending by comparing differences in loan growth to differences in capital ratios at sets of banks that are matched based on geographic area as well as size and various business characteristics. We argue that such comparisons are most effective at controlling for local loan demand and other environmental factors. For comparison we also control for local factors using MSA fixed effects. We find, based on data from 2001 to 2009, that the relationship between capital ratios and bank lending is insignificant until the recent financial ...