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A quantitative model for structured microfinance

Author

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  • Dorfleitner, G.
  • Priberny, C.
Abstract
We develop a quantitative model for structured microfinance instruments, which are regarded as an important means for refinancing microfinance institutions. The quantitative credit risk model presented takes into account the peculiarities of microfinance institutions and can be used for pricing purposes and analyzing the risk inherence in different tranches of a structured microfinance investment vehicle. Additionally, we introduce an innovative pricing methodology that abstains from using the martingale probability measure. This approach is more appropriate for illiquid securitized debt of microfinance institutions. In a realistic application we check the robustness and demonstrate the advantages of the model presented.

Suggested Citation

  • Dorfleitner, G. & Priberny, C., 2013. "A quantitative model for structured microfinance," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(1), pages 12-22.
  • Handle: RePEc:eee:quaeco:v:53:y:2013:i:1:p:12-22
    DOI: 10.1016/j.qref.2012.10.005
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    References listed on IDEAS

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    1. Nicolas Krauss & Ingo Walter, 2009. "Can Microfinance Reduce Portfolio Volatility?," Economic Development and Cultural Change, University of Chicago Press, vol. 58(1), pages 85-110, October.
    2. Byström, Hans, 2007. "Structured Microfinance in China," Working Papers 2007:18, Lund University, Department of Economics.
    3. Gordy, Michael B., 2003. "A risk-factor model foundation for ratings-based bank capital rules," Journal of Financial Intermediation, Elsevier, vol. 12(3), pages 199-232, July.
    4. Byström, Hans N.E., 2008. "The Microfinance Collateralized Debt Obligation: A Modern Robin Hood?," World Development, Elsevier, vol. 36(11), pages 2109-2126, November.
    5. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    6. Galema, Rients & Lensink, Robert & Spierdijk, Laura, 2011. "International diversification and Microfinance," Journal of International Money and Finance, Elsevier, vol. 30(3), pages 507-515, April.
    7. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    8. Tsaig, Yaakov & Levy, Amnon & Wang, Yashan, 2011. "Analyzing the impact of credit migration in a portfolio setting," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3145-3157.
    9. Frydman, Halina & Schuermann, Til, 2008. "Credit rating dynamics and Markov mixture models," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1062-1075, June.
    10. Valentina Hartarska & Denis Nadolnyak, 2007. "Do regulated microfinance institutions achieve better sustainability and outreach? Cross-country evidence," Applied Economics, Taylor & Francis Journals, vol. 39(10), pages 1207-1222.
    11. Tchakoute-Tchuigoua, Hubert, 2010. "Is there a difference in performance by the legal status of microfinance institutions?," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(4), pages 436-442, November.
    12. Gordy, Michael B., 2000. "A comparative anatomy of credit risk models," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 119-149, January.
    13. Crouhy, Michel & Galai, Dan & Mark, Robert, 2000. "A comparative analysis of current credit risk models," Journal of Banking & Finance, Elsevier, vol. 24(1-2), pages 59-117, January.
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    Citations

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    Cited by:

    1. Dorfleitner, Gregor & Röhe, Michaela & Renier, Noémie, 2017. "The access of microfinance institutions to debt capital: An empirical investigation of microfinance investment vehicles," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 1-15.
    2. Marek Hudon & Marc Labie & Ariane Szafarz, 2019. "A long time ago in a galaxy far, far away… How microfinance evolved and how research followed," Working Papers CEB 19-013, ULB -- Universite Libre de Bruxelles.

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    More about this item

    Keywords

    Microfinance; Structured products; Quantitative model; MC-based pricing; Risk analysis; Robustness check;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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