D
Dennis Glennon
Researcher at Office of the Comptroller of the Currency
Publications - 41
Citations - 1590
Dennis Glennon is an academic researcher from Office of the Comptroller of the Currency. The author has contributed to research in topics: Small business & Default. The author has an hindex of 18, co-authored 41 publications receiving 1459 citations. Previous affiliations of Dennis Glennon include United States Department of the Treasury & Government of the United States of America.
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Borrower–Lender Distance, Credit Scoring, and Loan Performance: Evidence From Informational-Opaque Small Business Borrowers
TL;DR: In this paper, the authors theoretically model and empirically test whether and how these changes have affected the probability that small business loans default, using 1984-2001 data from the SBA's flagship lending program.
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What 'Triggers' Mortgage Default?
Ronel Elul,Nicholas S. Souleles,Nicholas S. Souleles,Souphala Chomsisengphet,Dennis Glennon,Robert M. Hunt +5 more
TL;DR: The authors assesses the relative importance of two key drivers of mortgage default: negative equity and illiquidity, with comparably sized marginal effects, and find that negative equity is significantly associated with mortgage default.
Journal ArticleDOI
What "Triggers" Mortgage Default?
TL;DR: The authors assesses the relative importance of two key drivers of mortgage default: negative equity and illiquidity, with comparably sized marginal effects, and find that negative equity is significantly associated with mortgage default.
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The Information Revolution and Small Business Lending: The Missing Evidence
TL;DR: In this paper, the authors provide empirical confirmation for Petersen and Rajan's (2002) widely accepted conjecture that information technology was the primary driver of the observed increase in small business borrower-lender distances in the United States in recent years.
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Evaluating Statistical Models of Mortgage Lending Discrimination: A Bank-Specific Analysis
Mitchell Stengel,Dennis Glennon +1 more
TL;DR: In this article, a model specification that incorporates the specific underwriting guidelines of the individual bank is more appropriate than a broadly defined, generic specification applied across all banks, and the process of incorporating the bank-specific guidelines is itself difficult and can be complicated further by the lack of accurate data upon which to build a valid representative sample.