The U.S. Syndicated Loan Market: Matching Data
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DOI: 10.18651/RWP2018-09
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- Gregory J. Cohen & Melanie Friedrichs & Kamran Gupta & William Hayes & Seung Jung Lee & W. Blake Marsh & Nathan Mislang & Maya Shaton & Martin Sicilian, 2018. "The U.S. Syndicated Loan Market : Matching Data," Finance and Economics Discussion Series 2018-085, Board of Governors of the Federal Reserve System (U.S.).
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Cited by:
- Lee, Seung Jung & Liu, Lucy Qian & Stebunovs, Viktors, 2022.
"Risk-taking spillovers of U.S. monetary policy in the global market for U.S. dollar corporate loans,"
Journal of Banking & Finance, Elsevier, vol. 138(C).
- Seung Jung Lee & Lucy Qian Liu & Viktors Stebunovs, 2019. "Risk-Taking Spillovers of U.S. Monetary Policy in the Global Market for U.S. Dollar Corporate Loans," International Finance Discussion Papers 1251, Board of Governors of the Federal Reserve System (U.S.).
- Camelia Minoiu & Rebecca Zarutskie & Andrei Zlate, 2021. "Motivating Banks to Lend? Credit Spillover Effects of the Main Street Lending Program," Finance and Economics Discussion Series 2021-078, Board of Governors of the Federal Reserve System (U.S.).
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More about this item
Keywords
Bank Credit; Syndicated Loans; Probabilistic Matching; Company Level Matching; Loan Level Matching;All these keywords.
JEL classification:
- C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
- C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
- E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2018-12-24 (Big Data)
- NEP-CMP-2018-12-24 (Computational Economics)
- NEP-MAC-2018-12-24 (Macroeconomics)
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