IDEAS home Printed from https://ideas.repec.org/a/eee/quaeco/v53y2013i1p12-22.html
   My bibliography  Save this article

A quantitative model for structured microfinance

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1062976912000671
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.qref.2012.10.005?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. Byström, Hans, 2007. "Structured Microfinance in China," Working Papers 2007:18, Lund University, Department of Economics.
    2. 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.
    3. Byström, Hans N.E., 2008. "The Microfinance Collateralized Debt Obligation: A Modern Robin Hood?," World Development, Elsevier, vol. 36(11), pages 2109-2126, November.
    4. Frydman, Halina & Schuermann, Til, 2008. "Credit rating dynamics and Markov mixture models," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1062-1075, June.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    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.
    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. 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.

    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. Maria Stefanova, 2012. "Recovery Risiko in der Kreditportfoliomodellierung," Springer Books, Springer, number 978-3-8349-4226-5, October.
    2. Gürtler, Marc & Heithecker, Dirk, 2005. "Systematic credit cycle risk of financial collaterals: Modelling and evidence," Working Papers FW15V2, Technische Universität Braunschweig, Institute of Finance.
    3. Birge, John R. & Júdice, Pedro, 2013. "Long-term bank balance sheet management: Estimation and simulation of risk-factors," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4711-4720.
    4. Hanson, Samuel G. & Pesaran, M. Hashem & Schuermann, Til, 2008. "Firm heterogeneity and credit risk diversification," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 583-612, September.
    5. Hamerle, Alfred & Liebig, Thilo & Rösch, Daniel, 2003. "Credit Risk Factor Modeling and the Basel II IRB Approach," Discussion Paper Series 2: Banking and Financial Studies 2003,02, Deutsche Bundesbank.
    6. Bandyopadhyay, Arindam, 2010. "Understanding the Effect of Concentration Risk in the Banks’ Credit Portfolio: Indian Cases," MPRA Paper 24822, University Library of Munich, Germany.
    7. Annalisa Di Clemente, 2020. "Modeling Portfolio Credit Risk Taking into Account the Default Correlations Using a Copula Approach: Implementation to an Italian Loan Portfolio," JRFM, MDPI, vol. 13(6), pages 1-24, June.
    8. Pesaran, M. Hashem & Schuermann, Til & Treutler, Bjorn-Jakob & Weiner, Scott M., 2006. "Macroeconomic Dynamics and Credit Risk: A Global Perspective," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1211-1261, August.
    9. Correa, Arnildo & Marins, Jaqueline & Neves, Myrian & da Silva, Antonio Carlos, 2014. "Credit Default and Business Cycles: An Empirical Investigation of Brazilian Retail Loans," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 68(3), September.
    10. Marc Gürtler & Dirk Heithecker, 2006. "Modellkonsistente Bestimmung des LGD im IRB-Ansatz von Basel II," Schmalenbach Journal of Business Research, Springer, vol. 58(5), pages 554-587, August.
    11. Wozabal, David & Hochreiter, Ronald, 2012. "A coupled Markov chain approach to credit risk modeling," Journal of Economic Dynamics and Control, Elsevier, vol. 36(3), pages 403-415.
    12. Maclachlan, Iain C, 2007. "An empirical study of corporate bond pricing with unobserved capital structure dynamics," MPRA Paper 28416, University Library of Munich, Germany.
    13. Caballero, Diego & Lucas, André & Schwaab, Bernd & Zhang, Xin, 2020. "Risk endogeneity at the lender/investor-of-last-resort," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 283-297.
    14. Ulrich Erlenmaier & Hans Gersbach, 2014. "Default Correlations in the Merton Model," Review of Finance, European Finance Association, vol. 18(5), pages 1775-1809.
    15. Wagner, Charlotte & Winkler, Adalbert, 2013. "The Vulnerability of Microfinance to Financial Turmoil – Evidence from the Global Financial Crisis," World Development, Elsevier, vol. 51(C), pages 71-90.
    16. Gagliardini, P. & Gourieroux, C., 2005. "Migration correlation: Definition and efficient estimation," Journal of Banking & Finance, Elsevier, vol. 29(4), pages 865-894, April.
    17. Claudio Borio & Craig Furfine & Philip Lowe, 2001. "Procyclicality of the financial system and financial stability: issues and policy options," BIS Papers chapters, in: Bank for International Settlements (ed.), Marrying the macro- and micro-prudential dimensions of financial stability, volume 1, pages 1-57, Bank for International Settlements.
    18. Yagüe Gurucharri, Miguel & García-Hiernaux, Alfredo & Jerez, Miguel, 1974. "Rethinking Basel III and beyond: a theory model to understand credit allocation and real state bubbles," MPRA Paper 119559, University Library of Munich, Germany, revised 18 Dec 2023.
    19. Reza Kazemi & Ali Mosleh, 2012. "Improving Default Risk Prediction Using Bayesian Model Uncertainty Techniques," Risk Analysis, John Wiley & Sons, vol. 32(11), pages 1888-1900, November.
    20. Chrysovalantis Gaganis, 2016. "Assessing the overall performance of microfinance institutions," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 7(1), pages 52-83.

    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

    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:quaeco:v:53:y:2013:i:1:p:12-22. 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/inca/620167 .

    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.