Post‐loan credit risk: an analysis of small business in southern Arkansas

Autor: Ken Griffin, Gary Linn, K. Michael Casey, T. Selwyn Ellis
Rok vydání: 2009
Předmět:
Zdroj: Competitiveness Review: An International Business Journal. 19:342-348
ISSN: 1059-5422
DOI: 10.1108/10595420910977443
Popis: PurposeThe purpose of this paper is to identify pre‐loan factors that ultimately impact post‐loan risk ratings of small business in southern Arkansas.Design/methodology/approachOrdinary least squares linear regression analysis is conducted on small business data to determine which factors contribute to higher post‐loan credit risk ratings.FindingsBusinesses with records of loan repayment and personal financial assets at stake are more likely to be assigned better credit risk ratings. Additional analysis indicates that businesses with no past due collections or judgments, having good trade references, a profitable business, and not operating in a volatile industry are much more likely to result in loans ultimately receiving good post‐loan performance marks and lower risk ratings.Research limitations/implicationsThis paper has a small sample of firms in a historically economically depressed region. While the relevant factors seem intuitive they may not apply to other regions and/or larger businesses.Practical implicationsResults of this paper may be interesting to loan officers of banks and other lenders, particularly in this region given the current financial crisis.Originality/valueThis paper is the first to analyze actual data from small businesses in southern Arkansas. The results may help the organizations attempting to aid economic development in this region.
Databáze: OpenAIRE