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Working Paper
The U.S. Syndicated Loan Market: Matching Data
We introduce a new software package for determining linkages between datasets without common identifiers. We apply these methods to three datasets commonly used in academic research on syndicated lending: Refinitiv LPC DealScan, the Shared National Credit Database, and S&P Global Market Intelligence Compustat. We benchmark the results of our match using results from the literature and previously matched files that are publicly available. We find that the company level matching is enhanced by careful cleaning of the data and considering hierarchical relationships. For loan level matching, a ...
Working Paper
Identifying Financial Crises Using Machine Learning on Textual Data
We use machine learning techniques on textual data to identify financial crises. The onset of a crisis and its duration have implications for real economic activity, and as such can be valuable inputs into macroprudential, monetary, and fiscal policy. The academic literature and the policy realm rely mostly on expert judgment to determine crises, often with a lag. Consequently, crisis durations and the buildup phases of vulnerabilities are usually determined only with the benefit of hindsight. Although we can identify and forecast a portion of crises worldwide to various degrees with ...
Discussion Paper
The U.S. Syndicated Term Loan Market: Who Holds What and When?
This note looks carefully at the transition of ownership of syndicated term loans immediately after a deal is launched based on the Shared National Credit data.
Working Paper
The U.S. Syndicated Loan Market : Matching Data
We introduce a new software package for determining linkages between datasets without common identifiers. We apply these methods to three datasets commonly used in academic research on syndicated lending: Refinitiv LPC DealScan, the Shared National Credit Database, and S&P Global Market Intelligence Compustat. We benchmark the results of our match using results from the literature and previously matched files that are publicly available. We find that the company level matching is enhanced by careful cleaning of the data and considering hierarchical relationships. For loan level matching, a ...
Working Paper
Debt Overhang and the Retail Apocalypse
Debt overhang is central for theories of capital structure, yet credible empirical estimates of its effects remain elusive. We study the consequences and mechanisms of debt overhang using exogenous changes in the leverage of commercial retail properties. Identification comes from changes in property values occurring after pre-determined debt rollover dates. We show that debt reduces profitability by impairing property owners' response to negative shocks, reducing the business activity of their remaining retail tenants. For the median property, a 10 percentage point leverage increase causes ...