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The Effect of Reducing Information Asymmetry on Loan Price and Quantity in the African Banking Industry

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  • Asongu, Simplice

Abstract

The purpose of this study is to assess how information sharing offices affect loan price and quantity in the African banking industry. The empirical evidence is based on a panel of 162 banks in 42 countries for the period 2001-2011. From the Generalised Method of Moments, public credit registries decrease loan price. With instrumental Quantile Regressions, two main findings are established. Public credit registries consistently decrease the price of loans whereas private credit bureaus consistently have the opposite effect. Public credit registries increase loan quantity in bottom quintiles (or banks associated with lower loan quantities) while private credit bureaus increase loan quantity in top quintiles (or banks associated with higher loan quantities).

Suggested Citation

  • Asongu, Simplice, 2017. "The Effect of Reducing Information Asymmetry on Loan Price and Quantity in the African Banking Industry," MPRA Paper 80649, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:80649
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    1. Stephen Bond & Anke Hoeffler & Jonathan Temple, 2001. "GMM Estimation of Empirical Growth Models," Economics Papers 2001-W21, Economics Group, Nuffield College, University of Oxford.
    2. Paolo Coccorese & Alfonso Pellecchia, 2010. "Testing the ‘Quiet Life’ Hypothesis in the Italian Banking Industry," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 39(3), pages 173-202, November.
    3. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    4. Kangni Kpodar & Raju Jan Singh & Dhaneshwar Ghura, 2009. "Financial Deepening in the CFA Franc Zone: The Role of Institutions," Post-Print hal-00450079, HAL.
    5. Asongu, Simplice A. & Nwachukwu, Jacinta C., 2016. "The Mobile Phone in the Diffusion of Knowledge for Institutional Quality in Sub-Saharan Africa," World Development, Elsevier, vol. 86(C), pages 133-147.
    6. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    7. Simplice A. Asongu & Jacinta C. Nwachukwu, 2016. "Foreign aid and governance in Africa," International Review of Applied Economics, Taylor & Francis Journals, vol. 30(1), pages 69-88, January.
    8. Djankov, Simeon & McLiesh, Caralee & Shleifer, Andrei, 2007. "Private credit in 129 countries," Journal of Financial Economics, Elsevier, vol. 84(2), pages 299-329, May.
    9. Magnus Saxegaard, 2006. "Excess Liquidity and Effectiveness of Monetary Policy; Evidence from Sub-Saharan Africa," IMF Working Papers 06/115, International Monetary Fund.
    10. Acharya, Viral V. & Amihud, Yakov & Litov, Lubomir, 2011. "Creditor rights and corporate risk-taking," Journal of Financial Economics, Elsevier, vol. 102(1), pages 150-166, October.
    11. Stijn Claessens & Leora F. Klapper, 2005. "Bankruptcy around the World: Explanations of Its Relative Use," American Law and Economics Review, Oxford University Press, vol. 7(1), pages 253-283.
    12. Simplice A. Asongu, 2013. "Fighting corruption in Africa: do existing corruption-control levels matter?," International Journal of Development Issues, Emerald Group Publishing, vol. 12(1), pages 36-52, April.
    13. Sheilla Nyasha & Nicholas M. Odhiambo, 2015. "The Impact of Banks and Stock Market Development on Economic Growth in South Africa: an ARDL-bounds Testing Approach," Contemporary Economics, University of Finance and Management in Warsaw, vol. 9(1), April.
    14. Brown, Martin & Jappelli, Tullio & Pagano, Marco, 2009. "Information sharing and credit: Firm-level evidence from transition countries," Journal of Financial Intermediation, Elsevier, vol. 18(2), pages 151-172, April.
    15. Simplice Asongu, 2013. "How Would Population Growth Affect Investment in the Future? Asymmetric Panel Causality Evidence for Africa," African Development Review, African Development Bank, vol. 25(1), pages 14-29.
    16. Sheilla Nyasha & Nicholas M. Odhiambo, 2015. "Do banks and stock markets spur economic growth? Kenya's experience," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, vol. 7(1), pages 54-65.
    17. Simplice A. Asongu, 2014. "Correcting Inflation with Financial Dynamic Fundamentals: Which Adjustments Matter in Africa?," Journal of African Business, Taylor & Francis Journals, vol. 15(1), pages 64-73, April.
    18. Badi H. Baltagi, 2008. "Forecasting with panel data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(2), pages 153-173.
    19. Simplice A Asongu & Lieven De Moor, 2017. "Financial Globalisation Dynamic Thresholds for Financial Development: Evidence from Africa," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 29(1), pages 192-212, January.
    20. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    21. Beck, Thorsten & Demirguc-Kunt, Asli & Levine, Ross, 2003. "Law and finance: why does legal origin matter?," Journal of Comparative Economics, Elsevier, vol. 31(4), pages 653-675, December.
    22. Okada, Keisuke & Samreth, Sovannroeun, 2012. "The effect of foreign aid on corruption: A quantile regression approach," Economics Letters, Elsevier, vol. 115(2), pages 240-243.
    23. Asongu, Simplice & Anyanwu, John & Tchamyou, Vanessa, 2016. "Information sharing and conditional financial development in Africa," MPRA Paper 74653, University Library of Munich, Germany.
    24. Love, Inessa & Zicchino, Lea, 2006. "Financial development and dynamic investment behavior: Evidence from panel VAR," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(2), pages 190-210, May.
    25. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, December.
    26. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    27. Dudley Cooke & Sara le Roux, 2016. "Strategic Ambiguity and Decision-making: An Experimental Study," Discussion Papers 1605, Exeter University, Department of Economics.
    28. Iris Claus & Arthur Grimes, 2003. "Asymmetric Information, Financial Intermediation and the Monetary Transmission Mechanism: A Critical Review," Treasury Working Paper Series 03/19, New Zealand Treasury.
    29. Stephen Bond & Anke Hoeffler, 2001. "GMM Estimation of Empirical Growth Models," Economics Series Working Papers 2001-W21, University of Oxford, Department of Economics.
    30. Thouraya Triki & Ousman Gajigo, 2014. "Credit Bureaus and Registration and Access to Finance: New Evidence from 42 African Countries," Journal of African Development, African Finance and Economic Association, vol. 16(2), pages 73-101.
    31. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    32. Paolo Coccorese, 2012. "Information sharing, market competition and antitrust intervention: a lesson from the Italian insurance sector," Applied Economics, Taylor & Francis Journals, vol. 44(3), pages 351-359, January.
    33. Billger, Sherrilyn M. & Goel, Rajeev K., 2009. "Do existing corruption levels matter in controlling corruption?: Cross-country quantile regression estimates," Journal of Development Economics, Elsevier, vol. 90(2), pages 299-305, November.
    34. Jappelli, Tullio & Pagano, Marco, 2002. "Information sharing, lending and defaults: Cross-country evidence," Journal of Banking & Finance, Elsevier, vol. 26(10), pages 2017-2045, October.
    35. Ivashina, Victoria, 2009. "Asymmetric information effects on loan spreads," Journal of Financial Economics, Elsevier, vol. 92(2), pages 300-319, May.
    36. Erasmus L. Owusu & Nicholas M. Odhiambo, 2014. "Stock market development and economic growth in Ghana: an ARDL-bounds testing approach," Applied Economics Letters, Taylor & Francis Journals, vol. 21(4), pages 229-234, March.
    37. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    38. Barth, James R. & Lin, Chen & Lin, Ping & Song, Frank M., 2009. "Corruption in bank lending to firms: Cross-country micro evidence on the beneficial role of competition and information sharing," Journal of Financial Economics, Elsevier, vol. 91(3), pages 361-388, March.
    39. Houston, Joel F. & Lin, Chen & Lin, Ping & Ma, Yue, 2010. "Creditor rights, information sharing, and bank risk taking," Journal of Financial Economics, Elsevier, vol. 96(3), pages 485-512, June.
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    Keywords

    Information Asymmetry; Financial Access; Africa;

    JEL classification:

    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G29 - Financial Economics - - Financial Institutions and Services - - - Other
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa

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