IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v26y2018icp95-99.html
   My bibliography  Save this article

Moral hazard and default risk of SMEs with collateralized loans

Author

Listed:
  • Castillo, José A.
  • Mora-Valencia, Andrés
  • Perote, Javier

Abstract

This paper examines the failure of small- and medium-sized enterprises (SMEs) by considering both traditional financial ratios and other ratios proposed to capture ‘moral hazard effects’ in the presence of collateral, which lie in the principal-agent relationship between lender and borrower under conditions of asymmetric information. With a new Colombian database and by estimating default probability logit models, we measure the impact of these moral hazard effects on credit risk. We find that low effort and underinvestment variables have a significant impact on default risk and thus moral hazard has an effect on the failure of SMEs with collateralized obligations.

Suggested Citation

  • Castillo, José A. & Mora-Valencia, Andrés & Perote, Javier, 2018. "Moral hazard and default risk of SMEs with collateralized loans," Finance Research Letters, Elsevier, vol. 26(C), pages 95-99.
    • Handle: RePEc:eee:finlet:v:26:y:2018:i:c:p:95-99
    DOI: 10.1016/j.frl.2017.12.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612317305287
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2017.12.010?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Boot, Arnoud W A & Thakor, Anjan V & Udell, Gregory F, 1991. "Secured Lending and Default Risk: Equilibrium Analysis, Policy Implications and Empirical Results," Economic Journal, Royal Economic Society, vol. 101(406), pages 458-472, May.
    2. Casey, C & Bartczak, N, 1985. "Using Operating Cash Flow Data To Predict Financial Distress - Some Extensions," Journal of Accounting Research, Wiley Blackwell, vol. 23(1), pages 384-401.
    3. Ono, Arito & Uesugi, Iichiro & Yasuda, Yukihiro, 2013. "Are lending relationships beneficial or harmful for public credit guarantees? Evidence from Japan's Emergency Credit Guarantee Program," Journal of Financial Stability, Elsevier, vol. 9(2), pages 151-167.
    4. 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.
    5. Bebczuk,Ricardo N., 2003. "Asymmetric Information in Financial Markets," Cambridge Books, Cambridge University Press, number 9780521793421, October.
    6. Ono, Arito & Sakai, Koji & Uesugi, Iichiro, 2012. "The effects of collateral on firm performance," Journal of the Japanese and International Economies, Elsevier, vol. 26(1), pages 84-109.
    7. Menkhoff, Lukas & Neuberger, Doris & Rungruxsirivorn, Ornsiri, 2012. "Collateral and its substitutes in emerging markets’ lending," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 817-834.
    8. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    9. Bester, Helmut, 1985. "Screening vs. Rationing in Credit Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 75(4), pages 850-855, September.
    10. Tensie Steijvers & Wim Voordeckers & Koen Vanhoof, 2010. "Collateral, relationship lending and family firms," Small Business Economics, Springer, vol. 34(3), pages 243-259, April.
    11. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    12. Olivier Jeanne & Jeromin Zettelmeyer, 2005. "The Mussa Theorem (and Other Results on IMF-Induced Moral Hazard)," IMF Staff Papers, Palgrave Macmillan, vol. 52(si), pages 1-5.
    13. Edward I. Altman & Gabriele Sabato, 2013. "MODELING CREDIT RISK FOR SMEs: EVIDENCE FROM THE US MARKET," World Scientific Book Chapters, in: Oliviero Roggi & Edward I Altman (ed.), Managing and Measuring Risk Emerging Global Standards and Regulations After the Financial Crisis, chapter 9, pages 251-279, World Scientific Publishing Co. Pte. Ltd..
    14. Edward I. Altman, 1968. "The Prediction Of Corporate Bankruptcy: A Discriminant Analysis," Journal of Finance, American Finance Association, vol. 23(1), pages 193-194, March.
    15. Stulz, ReneM. & Johnson, Herb, 1985. "An analysis of secured debt," Journal of Financial Economics, Elsevier, vol. 14(4), pages 501-521, December.
    16. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure - Reply," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 123-127.
    17. Vasso Ioannidou & Steven Ongena, 2010. "“Time for a Change”: Loan Conditions and Bank Behavior when Firms Switch Banks," Journal of Finance, American Finance Association, vol. 65(5), pages 1847-1877, October.
    18. Manove, Michael & Padilla, A Jorge & Pagano, Marco, 2001. "Collateral versus Project Screening: A Model of Lazy Banks," RAND Journal of Economics, The RAND Corporation, vol. 32(4), pages 726-744, Winter.
    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. Concepción de la Fuente-Cabrero & Mónica de Castro-Pardo & Rosa Santero-Sánchez & Pilar Laguna-Sánchez, 2019. "The Role of Mutual Guarantee Institutions in the Financial Sustainability of New Family-Owned Small Businesses," Sustainability, MDPI, vol. 11(22), pages 1-15, November.
    2. Shi, Baofeng & Zhao, Xue & Wu, Bi & Dong, Yizhe, 2019. "Credit rating and microfinance lending decisions based on loss given default (LGD)," Finance Research Letters, Elsevier, vol. 30(C), pages 124-129.
    3. 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.
    4. Hossain, Monzur & Yoshino, Naoyuki & Taghizadeh-Hesary, Farhad, 2021. "Default risks, moral hazard and market-based solution: Evidence from renewable energy market in Bangladesh," Economic Modelling, Elsevier, vol. 95(C), pages 489-499.
    5. Mariya V. PODSHIVALOVA & Irina S. PYLAEVA & Nadehzda N. KUZMINA, 2019. "Evaluation of state support programs for small business: A regional aspect," Upravlenets, Ural State University of Economics, vol. 10(1), pages 28-39, March.
    6. Huong, Vu Van & Cuong, Ly Kim, 2019. "Does government support promote SME tax payments? New evidence from Vietnam," Finance Research Letters, Elsevier, vol. 31(C).
    7. Jiang, Cuixia & Xiong, Wei & Xu, Qifa & Liu, Yezheng, 2021. "Predicting default of listed companies in mainland China via U-MIDAS Logit model with group lasso penalty," Finance Research Letters, Elsevier, vol. 38(C).
    8. Wang, Jinbo & Ran, Maosheng & Huang, Qing & Li, Wanli, 2022. "Nationalization of private enterprises and default risk: Evidence from mixed-ownership reform in China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 534-553.

    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. Dias Duarte, Fábio & Matias Gama, Ana Paula & Paulo Esperança, José, 2017. "Collateral-based in SME lending: The role of business collateral and personal collateral in less-developed countries," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 406-422.
    2. David Veganzones, 2022. "Corporate failure prediction using threshold‐based models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 956-979, August.
    3. Frieda Rikkers & Andre E. Thibeault, 2009. "A Structural form Default Prediction Model for SMEs, Evidence from the Dutch Market," Multinational Finance Journal, Multinational Finance Journal, vol. 13(3-4), pages 229-264, September.
    4. Jairaj Gupta & Nicholas Wilson & Andros Gregoriou & Jerome Healy, 2014. "The value of operating cash flow in modelling credit risk for SMEs," Applied Financial Economics, Taylor & Francis Journals, vol. 24(9), pages 649-660, May.
    5. Keijo Kohv & Oliver Lukason, 2021. "What Best Predicts Corporate Bank Loan Defaults? An Analysis of Three Different Variable Domains," Risks, MDPI, vol. 9(2), pages 1-19, January.
    6. Francesco Ciampi & Valentina Cillo & Fabio Fiano, 2020. "Combining Kohonen maps and prior payment behavior for small enterprise default prediction," Small Business Economics, Springer, vol. 54(4), pages 1007-1039, April.
    7. 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.
    8. fernández, María t. Tascón & gutiérrez, Francisco J. Castaño, 2012. "Variables y Modelos Para La Identificación y Predicción Del Fracaso Empresarial: Revisión de La Investigación Empírica Reciente," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 15(1), pages 7-58.
    9. Eling, Martin & Jia, Ruo, 2018. "Business failure, efficiency, and volatility: Evidence from the European insurance industry," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 58-76.
    10. Ahsan Habib & Mabel D' Costa & Hedy Jiaying Huang & Md. Borhan Uddin Bhuiyan & Li Sun, 2020. "Determinants and consequences of financial distress: review of the empirical literature," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(S1), pages 1023-1075, April.
    11. Juraini Zainol Abidin & Nur Adiana Hiau Abdullah & Karren Lee-Hwei Khaw, 2020. "Predicting SMEs Failure: Logistic Regression vs Artificial Neural Network Models," Capital Markets Review, Malaysian Finance Association, vol. 28(2), pages 29-41.
    12. Vidimlić Selma, 2019. "Innovated Altman’s Model as a Predictor of Malfunctioning of Small and Medium-Sized Businesses in Bosnia and Herzegovina," Economic Themes, Sciendo, vol. 57(1), pages 21-33, March.
    13. Ono, Arito & Sakai, Koji & Uesugi, Iichiro, 2012. "The effects of collateral on firm performance," Journal of the Japanese and International Economies, Elsevier, vol. 26(1), pages 84-109.
    14. Antoine GODIN & Paul HADJI-LAZARO, 2020. "Demand-induced transition risks: A systemic approach applied to South Africa," Working Paper 1ec2dacf-58b9-4235-8d35-4, Agence française de développement.
    15. Tomasz Korol, 2019. "Dynamic Bankruptcy Prediction Models for European Enterprises," JRFM, MDPI, vol. 12(4), pages 1-15, December.
    16. Veganzones, David & Séverin, Eric & Chlibi, Souhir, 2023. "Influence of earnings management on forecasting corporate failure," International Journal of Forecasting, Elsevier, vol. 39(1), pages 123-143.
    17. Silvia Angilella & Maria Rosaria Pappalardo, 2021. "Assessment of a failure prediction model in the energy sector: a multicriteria discrimination approach with Promethee based classification," Papers 2102.07656, arXiv.org.
    18. Pranith K. Roy & Krishnendu Shaw, 2023. "A credit scoring model for SMEs using AHP and TOPSIS," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 372-391, January.
    19. Youssef Zizi & Amine Jamali-Alaoui & Badreddine El Goumi & Mohamed Oudgou & Abdeslam El Moudden, 2021. "An Optimal Model of Financial Distress Prediction: A Comparative Study between Neural Networks and Logistic Regression," Risks, MDPI, vol. 9(11), pages 1-24, November.
    20. Koen W. de Bock, 2017. "The best of two worlds: Balancing model strength and comprehensibility in business failure prediction using spline-rule ensembles," Post-Print hal-01588059, HAL.

    More about this item

    Keywords

    Default; Collateral; Moral hazard; Logit; SMEs;
    All these keywords.

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    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:eee:finlet:v:26:y:2018:i:c:p:95-99. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.