Corporate Finance

This article uses advanced natural language processing (NLP) methods to identify companies that are aligned with the UN Sustainable Development Goals (SDGs) based on the text in their sustainability disclosures. Using the Corporate Social Responsibility (CSR) reports of Russell 1000 companies between 2010–2019, we apply a logistic classifier, support vector machines (SVM), and a fully-connected neural network to predict alignment with the SDGs.

We investigate the impact of uneven transparency regulation across countries and industries on the location of economic activity. Using two distinct sources of regulatory variation—the varying extent of financial-reporting requirements and the staggered introduction of electronic business registers in Europe—, we consistently document that direct exposure to transparency regulation is negatively associated with the focal industry’s economic activity in terms of inputs (e.g., employment) and outputs (e.g., production).

We show that dealer market power impedes the pass-through of monetary policy in repo markets, which is an important first stage of monetary policy transmission. In the European repo market, most participants do not have access to trade on centralized exchanges. Rather, they rely on OTC intermediation by a small number of dealers that exhibit significant market power. As a result, the passthrough of the ECB's policy rate to repo markets is inefficient and unequal.

We study the use and economic impact of artificial intelligence (AI) technologies among U.S. firms. We propose a new measure of firm-level AI investments, using a unique combination of detailed worker resume and job postings datasets. Our measure reveals a stark increase in AI investments across sectors in the last decade. AI-investing firms see higher growth in sales, employment, and market valuations.

We examine innovation after the Great Depression using data on a century’s worth of U.S. patents and a difference-in-differences design that exploits regional variation in the severity of the economic crisis. Harder-hit areas experienced large and persistent declines in independent patenting, which lasted for the next 70 years. This decline was larger for young and inexperienced inventors and lower-quality patents. In contrast, large firms had relative innovation increases, especially for inventors with the largest declines in independent patenting.

We provide an applied introduction to Bayesian estimation methods for empirical accounting research. To showcase the methods, we compare and contrast the estimation of accruals models via a Bayesian approach with the literature’s standard approach. The standard approach takes a given model of normal accruals for granted and neglects any uncertainty about the model and its parameters. By contrast, our Bayesian approach allows incorporating parameter and model uncertainty into the estimation of normal accruals.

Are extreme price swings part of a longer-term trend in the transition towards a greener future?

The high-yield bond market has just experienced an extreme cycle of bust and boom in the debt of energy companies.

This article empirically examines the magnitude of risk premiums for direct real estate investments on a global basis. As this article analyzes ex-ante risk premiums over more than 25 years consistently across the world, it enhances current knowledge about the regional differences between risk premiums and helps long-term investors with their global portfolio allocation over time. On a global level, the authors find a risk premium of 4.1% for Gordon’s growth and 3.7% for two-stage growth model. The periodic growth model shows a slightly lower risk premium of 3.1%.

We follow a representative panel of millions of consumers in the U.S. from 2007 to 2017 and document several facts on the long-term effects of the Great Recession. There were about six million foreclosures in the ten-year period after Lehman's collapse. Owners of multiple homes accounted for 25% of these foreclosures, while comprising only 13% of the market. Foreclosures displaced homeowners, with most of them moving at least once. Only a quarter of foreclosed households regained homeownership, taking an average four years to do so.