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Loan loss provisioning in the commercial banking system of Barbados: practices and determinants

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  • Craigwell, Roland C
  • Elliott, Wayne A

Abstract

The purpose of this paper is to investigate the process of loan loss provisioning within the commercial banking system of Barbados. It uses questionnaires and interviews to ascertain how banks set their provisional standards and levels. In addition, the results from this approach reveal, for the first time in Barbados, the individual banks‟ procedures for loan loss provisioning. An evaluation of the impact of macroeconomic and bank specific factors on commercial banks‟ provisions utilising panel dynamic ordinary least squares is also undertaken. Both sets of factors are found to influence the level of provisions. In particular, loan loss provisions are heavily dependent upon the performance of the real economy and competition in international markets is shown to have serious implications for the banking sector in both the short and long run. Moreover, this study asserts that larger banks in Barbados are better able to screen loans and avoid defaults.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 33426.

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Date of creation: 2011
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Handle: RePEc:pra:mprapa:33426

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Keywords: Loan Loss Provisioning; Banking System; Loan Classification;

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References

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  1. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
  2. International Monetary Fund, 2000. "Loan Review, Provisioning, and Macroeconomic Linkages," IMF Working Papers 00/195, International Monetary Fund.
  3. Vincent Bouvatier & Laetitia Lepetit, 2006. "Banks' procyclicality behavior : does provisioning matter ?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00115622, HAL.
  4. Khemraj, Tarron & Pasha, Sukrishnalall, 2009. "The determinants of non-performing loans: an econometric case study of Guyana," MPRA Paper 53128, University Library of Munich, Germany.
  5. Esa Jokivuolle & Samu Peura, 2003. "Incorporating Collateral Value Uncertainty in Loss Given Default Estimates and Loan-to-value Ratios," European Financial Management, European Financial Management Association, vol. 9(3), pages 299-314.
  6. Jacob A. Bikker & Paul A.J. Metzemakers, 2003. "Bank Provisioning Behaviour and Procyclicality," DNB Staff Reports (discontinued) 111, Netherlands Central Bank.
  7. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Department of Economics Working Papers 2000-02, Department of Economics, Williams College.
  8. Pasaran, M.H. & Im, K.S. & Shin, Y., 1995. "Testing for Unit Roots in Heterogeneous Panels," Cambridge Working Papers in Economics 9526, Faculty of Economics, University of Cambridge.
  9. Jesus, Saurina & Gabriel, Jimenez, 2006. "Credit Cycles, Credit Risk, and Prudential Regulation," MPRA Paper 718, University Library of Munich, Germany.
  10. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-38, May.
  11. Breitung, Jorg, 2002. "Nonparametric tests for unit roots and cointegration," Journal of Econometrics, Elsevier, vol. 108(2), pages 343-363, June.
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Cited by:
  1. Dragiša Otaševic, 2013. "Macroeconomic determinants of the quality of banks' loan portfolio in Serbia," Working papers 27, National Bank of Serbia.

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