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Author:Sicilian, Martin 

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 ...
Research Working Paper , Paper RWP 18-9

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.
FEDS Notes , Paper 2019-11-25

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 ...
Finance and Economics Discussion Series , Paper 2018-085

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