IDEAS home Printed from https://ideas.repec.org/a/jfr/ijfr11/v2y2011i2p61-72.html
   My bibliography  Save this article

Determinants of Commercial Banks¡¯ Lending Behavior in Nigeria

Author

Listed:
  • Felicia Omowunmi Olokoyo

Abstract

This study investigated the determinants of commercial banks¡¯ lending behaviour in the Nigerian context. The study aimed to test and confirm the effectiveness of the common determinants of commercial banks lending behaviour and how it affects the lending behaviour of commercial banks in Nigeria. The model used is estimated using Nigerian commercial banks loan advance (LOA) and other determinants or variables such as their volume of deposits (Vd), their investment portfolio (Ip), interest (lending) rate (Ir), stipulated cash reserve requirements ratio (Rr) and their liquidity ratio (Lr) for the period; 1980 ¨C 2005. The model hypothesizes that there is functional relationship between the dependent variable and the specified independent variables. From the regression analysis, the model was found to be significant and its estimators turned out as expected and it was discovered that commercial banks deposits have the greatest impacts on their lending behaviour. The study then suggests that commercial banks should focus on mobilizing more deposits as this will enhance their lending performance and should formulate critical, realistic and comprehensive strategic and financial plans.

Suggested Citation

  • Felicia Omowunmi Olokoyo, 2011. "Determinants of Commercial Banks¡¯ Lending Behavior in Nigeria," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 2(2), pages 61-72, July.
  • Handle: RePEc:jfr:ijfr11:v:2:y:2011:i:2:p:61-72
    as

    Download full text from publisher

    File URL: http://www.sciedu.ca/journal/index.php/ijfr/article/view/309/147
    Download Restriction: no

    File URL: http://www.sciedu.ca/journal/index.php/ijfr/article/view/309
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ongena, Steven & Smith, David C., 2000. "What Determines the Number of Bank Relationships? Cross-Country Evidence," Journal of Financial Intermediation, Elsevier, vol. 9(1), pages 26-56, January.
    2. Christophe J. GODLEWSKI & Ydriss Ziane, 2008. "How many banks does it take to lend? Empirical evidence from Europe," Working Papers of LaRGE Research Center 2008-11, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    3. Carletti, Elena & Cerasi, Vittoria & Daltung, Sonja, 2007. "Multiple-bank lending: Diversification and free-riding in monitoring," Journal of Financial Intermediation, Elsevier, vol. 16(3), pages 425-451, July.
    4. Ongena, S. & Smith, D.C., 2000. "Bank relationships : A review," Other publications TiSEM 993b88a5-9a0f-42de-9cec-6, Tilburg University, School of Economics and Management.
    5. Michael Manove & A. Jorge Padilla & Marco Pagano, 1998. "Collateral vs. Project Screening: A Model of Lazy Banks," CSEF Working Papers 10, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    6. Ewert, Ralf & Schenk, Gerald, 1998. "Determinants of bank lending performance," CFS Working Paper Series 1998/06, Center for Financial Studies (CFS).
    7. Hans Degryse & Nancy Masschelein & Janet Mitchell, 2004. "SMEs and Bank Lending Relationships: the Impact of Mergers," Working Paper Research 46, National Bank of Belgium.
    8. Carletti, Elena & Cerasi, Vittoria & Daltung, Sonja, 2007. "Multiple-bank lending: Diversification and free-riding in monitoring," Journal of Financial Intermediation, Elsevier, vol. 16(3), pages 425-451, July.
    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. Allam Yousuf & János Felföldi, 2018. "The Effect Of Credit Risk Management On Profitability: An Empirical Study Of Private Banks In Syria," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, vol. 3(2), pages 43-51, September.
    2. Serpil TOMAK, 2013. "Determinants of Commercial Banks’ lending Behavior: Evidence from Turkey," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 3(8), pages 933-943, August.
    3. Anthony Orji & Jonathan E. Gbuabor & Christian E. Ugwu & Onyinye I. Anthony-Orji, 2019. "Cash Reserve Requirement and Credit to SMEs in Nigeria: An ARDL Bounds Test Aproach," Journal of Asian Business Strategy, Asian Economic and Social Society, vol. 9(1), pages 10-28, June.

    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. Carletti, Elena & Cerasi, Vittoria & Daltung, Sonja, 2007. "Multiple-bank lending: Diversification and free-riding in monitoring," Journal of Financial Intermediation, Elsevier, vol. 16(3), pages 425-451, July.
    2. Doris Neuberger & Solvig Räthke, 2009. "Microenterprises and multiple bank relationships: The case of professionals," Small Business Economics, Springer, vol. 32(2), pages 207-229, February.
    3. Tumer-Alkan, G., 2008. "Essays on banking," Other publications TiSEM 8d5ec521-4702-4e75-bc79-a, Tilburg University, School of Economics and Management.
    4. Ongena, Steven & Şendeniz-Yüncü, İlkay, 2011. "Which firms engage small, foreign, or state banks? And who goes Islamic? Evidence from Turkey," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3213-3224.
    5. Giacinto Micucci & Paola Rossi, 2010. "Debt restructuring and the role of lending technologies," Temi di discussione (Economic working papers) 763, Bank of Italy, Economic Research and International Relations Area.
    6. Carletti, Elena & Cerasi, Vittoria & Daltung, Sonja, 2007. "Multiple-bank lending: Diversification and free-riding in monitoring," Journal of Financial Intermediation, Elsevier, vol. 16(3), pages 425-451, July.
    7. Schure, Paul & Scoones, David & Gu, Qinghua, 2005. "A theory of loan syndication," Finance Research Letters, Elsevier, vol. 2(3), pages 165-172, September.
    8. Antje Brunner & Jan Pieter Krahnen, 2013. "Hold-up in multiple banking: evidence from SME lending," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 5(1/2), pages 78-101.
    9. Ongena, Steven & Tümer-Alkan, Günseli & Westernhagen, Natalja v., 2012. "Creditor concentration: An empirical investigation," European Economic Review, Elsevier, vol. 56(4), pages 830-847.
    10. Anne Duquerroy & Clément Mazet-Sonilhac & Jean-Stéphane Mésonnier & Daniel Paravisini, 2022. "Bank Local Specialization," SciencePo Working papers Main hal-03812807, HAL.
    11. Alberto Bennardo & Marco Pagano & Salvatore Piccolo, 2015. "Multiple Bank Lending, Creditor Rights, and Information Sharing," Review of Finance, European Finance Association, vol. 19(2), pages 519-570.
    12. Yuta Ogane, 2016. "Banking relationship numbers and new business bankruptcies," Small Business Economics, Springer, vol. 46(2), pages 169-185, February.
    13. Catherine Fuss & Philip Vermeulen, 2006. "The response of firms\u2019 investment and financing to adverse cash flow shocks : the role of bank relationships," Working Paper Research 87, National Bank of Belgium.
    14. Hans Degryse & Steven Ongena, 2005. "Distance, Lending Relationships, and Competition," Journal of Finance, American Finance Association, vol. 60(1), pages 231-266, February.
    15. Beck, Thorsten & Ongena, Steven & Şendeniz-Yüncü, İlkay, 2019. "Keep walking? Geographical proximity, religion, and relationship banking," Journal of Corporate Finance, Elsevier, vol. 55(C), pages 49-68.
    16. Giorgia Barboni & Tania Treibich, 2012. "(Just) first time lucky ? The impact of single versus multiple bank lending relationships on firms and banks' behavior," LEM Papers Series 2012/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    17. Angelo Baglioni & Luca Colombo & Paola Rossi, 2018. "Debt restructuring with multiple bank relationships," Temi di discussione (Economic working papers) 1191, Bank of Italy, Economic Research and International Relations Area.
    18. Dam, Kaniṣka & Roy Chowdhury, Prabal, 2021. "Monitoring and incentives under multiple-bank lending: The role of collusive threats," Journal of Economic Theory, Elsevier, vol. 197(C).
    19. Vasso Ioannidou & Steven Ongena & José-Luis Peydró, 2015. "Monetary Policy, Risk-Taking, and Pricing: Evidence from a Quasi-Natural Experiment," Review of Finance, European Finance Association, vol. 19(1), pages 95-144.
    20. Luigi Guiso & Raoul Minetti, 2010. "The Structure of Multiple Credit Relationships: Evidence from U.S. Firms," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(6), pages 1037-1071, September.

    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:jfr:ijfr11:v:2:y:2011:i:2:p:61-72. 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: Gina Perry (email available below). General contact details of provider: http://ijfr.sciedupress.com .

    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.