IDEAS home Printed from https://ideas.repec.org/a/sae/entthe/v4y1979i1p10-21.html
   My bibliography  Save this article

Loan Terms and Loan Repayment Performance: The Experience with Minority Small Businesses

Author

Listed:
  • Albert L. Page
  • Scott Cowen
  • Martin Cohen

Abstract

The purpose of this paper is to report the results of a study which examines the relationship between the structural characteristics of loans to minority small businesses and loan performance. The study represents an extension of research to the analysis of small business loan performance [2, 5, 7, 14]. As such it provides another perspective to understanding the performance of such loans by considering the relationships that exist between loan characteristics and loan performance. In particular, the finding regarding the relationship between the amount of the loan and loan performance provides important additional evidence relevant to a debate in the literature between Edelstein [5, 6] and Bates and Hester [3] about the effect of the loan size variable.

Suggested Citation

  • Albert L. Page & Scott Cowen & Martin Cohen, 1979. "Loan Terms and Loan Repayment Performance: The Experience with Minority Small Businesses," Entrepreneurship Theory and Practice, , vol. 4(1), pages 10-21, July.
  • Handle: RePEc:sae:entthe:v:4:y:1979:i:1:p:10-21
    DOI: 10.1177/104225877900400102
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/104225877900400102
    Download Restriction: no

    File URL: https://libkey.io/10.1177/104225877900400102?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Page, Albert L. & Trombetta, William L. & Werner, Charles & Kulifay, Marilyn, 1977. "Identifying successful versus unsuccessful loans held by the minority small business clients of an OMBE affiliate," Journal of Business Research, Elsevier, vol. 5(2), pages 139-153, June.
    2. Joy, O. Maurice & Tollefson, John O., 1975. "On the Financial Applications of Discriminant Analysis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 10(5), pages 723-739, December.
    3. Bates, Timothy M & Hester, Donald D, 1977. "Analysis of a Commercial Bank Minority Lending Program: Comment," Journal of Finance, American Finance Association, vol. 32(5), pages 1783-1789, December.
    4. Edmister, Robert O., 1972. "An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 7(2), pages 1477-1493, March.
    5. Edelstein, Robert H, 1975. "Improving the Selection of Credit Risks: An Analysis of a Commercial Bank Minority Lending Program," Journal of Finance, American Finance Association, vol. 30(1), pages 37-55, March.
    6. Edelstein, Robert H, 1977. "Improving the Selection of Credit Risks: An Analysis of a Commercial Bank Minority Lending Program: Reply," Journal of Finance, American Finance Association, vol. 32(5), pages 1790-1794, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ella W. Van Fleet & David D. Van Fleet, 1985. "Entrepreneurship and Black Capitalism," Entrepreneurship Theory and Practice, , vol. 10(2), pages 31-40, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Balcaen, Sofie & Ooghe, Hubert, 2006. "35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems," The British Accounting Review, Elsevier, vol. 38(1), pages 63-93.
    2. Layla Khoja & Maxwell Chipulu & Ranadeva Jayasekera, 2016. "Analysing corporate insolvency in the Gulf Cooperation Council using logistic regression and multidimensional scaling," Review of Quantitative Finance and Accounting, Springer, vol. 46(3), pages 483-518, April.
    3. Petr Jakubík & Petr Teplý, 2011. "The JT Index as an Indicator of Financial Stability of Corporate Sector," Prague Economic Papers, Prague University of Economics and Business, vol. 2011(2), pages 157-176.
    4. Dimitras, A. I. & Zanakis, S. H. & Zopounidis, C., 1996. "A survey of business failures with an emphasis on prediction methods and industrial applications," European Journal of Operational Research, Elsevier, vol. 90(3), pages 487-513, May.
    5. Izan, H. Y., 1984. "Corporate distress in Australia," Journal of Banking & Finance, Elsevier, vol. 8(2), pages 303-320, June.
    6. Jackson, Richard H.G. & Wood, Anthony, 2013. "The performance of insolvency prediction and credit risk models in the UK: A comparative study," The British Accounting Review, Elsevier, vol. 45(3), pages 183-202.
    7. Zhou, Fanyin & Fu, Lijun & Li, Zhiyong & Xu, Jiawei, 2022. "The recurrence of financial distress: A survival analysis," International Journal of Forecasting, Elsevier, vol. 38(3), pages 1100-1115.
    8. Lin, Hsiou-Wei William & Lo, Huai-Chun & Wu, Ruei-Shian, 2016. "Modeling default prediction with earnings management," Pacific-Basin Finance Journal, Elsevier, vol. 40(PB), pages 306-322.
    9. Francesco Ciampi & Alessandro Giannozzi & Giacomo Marzi & Edward I. Altman, 2021. "Rethinking SME default prediction: a systematic literature review and future perspectives," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2141-2188, March.
    10. Jason J. Constable & David R. Woodliff, 1994. "Predicting Corporate Failure Using Publicly Available Information," Australian Accounting Review, CPA Australia, vol. 4(7), pages 13-27, May.
    11. Ilhan Meric & Christine Lentz & Sherry F. Li & Gulser Meric, 2014. "A Comparison Of The Financial Characteristics Of Hong Kong And Singapore Manufacturing Firms," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 8(3), pages 31-37.
    12. Chen, An-Sing & Chu, Hsiang-Hui & Hung, Pi-Hsia & Cheng, Miao-Sih, 2020. "Financial risk and acquirers' stockholder wealth in mergers and acquisitions," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    13. Serrano-Cinca, Carlos & Gutiérrez-Nieto, Begoña & Bernate-Valbuena, Martha, 2019. "The use of accounting anomalies indicators to predict business failure," European Management Journal, Elsevier, vol. 37(3), pages 353-375.
    14. du Jardin, Philippe & Séverin, Eric, 2011. "Predicting corporate bankruptcy using a self-organizing map: An empirical study to improve the forecasting horizon of a financial failure model," MPRA Paper 44262, University Library of Munich, Germany.
    15. Jeyhun A. Abbasov, 2017. "Financial ratios and the prediction of bankruptcy," Working Papers 1705, Central Bank of Azerbaijan Republic.
    16. McGurr, Paul T. & DeVaney, Sharon A., 1998. "Predicting Business Failure of Retail Firms: An Analysis Using Mixed Industry Models," Journal of Business Research, Elsevier, vol. 43(3), pages 169-176, November.
    17. Nicoleta BARBUTA-MISU, 2011. "A Specific Model for Assessing the Financial Performance:Case study on Building Sector Enterprises of Galati County - Romania," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 318-325.
    18. Jones, Stewart & Johnstone, David & Wilson, Roy, 2015. "An empirical evaluation of the performance of binary classifiers in the prediction of credit ratings changes," Journal of Banking & Finance, Elsevier, vol. 56(C), pages 72-85.
    19. Iatridis, George, 2010. "International Financial Reporting Standards and the quality of financial statement information," International Review of Financial Analysis, Elsevier, vol. 19(3), pages 193-204, June.
    20. Yao-Zhi Xu & Jian-Lin Zhang & Ying Hua & Lin-Yue Wang, 2019. "Dynamic Credit Risk Evaluation Method for E-Commerce Sellers Based on a Hybrid Artificial Intelligence Model," Sustainability, MDPI, vol. 11(19), pages 1-17, October.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:entthe:v:4:y:1979:i:1:p:10-21. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.