IDEAS home Printed from https://ideas.repec.org/p/ags/nc2005/132739.html
   My bibliography  Save this paper

Credit Risk Migration Patterns of Agricultural Loans

Author

Listed:
  • Behrens, Andrew
  • Pederson, Glenn D.

Abstract

This study utilizes comparisons and Probit regression analysis to determine the influence of previous migrations and other variables on the likelihood of future migrations of agricultural loan credit risk. The Farm Credit System association data set contains a large number of lender risk-rated agricultural loans. The lender risk ratings used are less likely to migrate than ratings based on credit score proxies. The results indicate that the direction of previous migrations significantly influences future migrations in a trendreversal pattern. Forecasting future migrations remains difficult even though the marginal effect of a previous migration on the likelihood of a future migration is quite large.

Suggested Citation

  • Behrens, Andrew & Pederson, Glenn D., 2005. "Credit Risk Migration Patterns of Agricultural Loans," 2005 Agricultural and Rural Finance Markets in Transition, October 3-4, 2005, Minneapolis, Minnesota 132739, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.
    • Handle: RePEc:ags:nc2005:132739
    DOI: 10.22004/ag.econ.132739
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/132739/files/Behrens2005.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.132739?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
    ---><---

    References listed on IDEAS

    as
    1. Jill M. Phillips & Ani L. Katchova, 2004. "Credit score migration analysis of farm businesses: conditioning on business cycles and migration trends," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 64(1), pages 1-15, May.
    2. Escalante, Cesar L. & Park, Timothy A. & Barry, Peter J. & Demir, Ebru, 2002. "Determinants Of Farm Credit Migration Rates," 2002 Regional Committee NC-221, October 7-8, 2002, Denver, Colorado 132368, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.
    3. Lando, David & Skodeberg, Torben M., 2002. "Analyzing rating transitions and rating drift with continuous observations," Journal of Banking & Finance, Elsevier, vol. 26(2-3), pages 423-444, March.
    4. Christensen, Jens H.E. & Hansen, Ernst & Lando, David, 2004. "Confidence sets for continuous-time rating transition probabilities," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2575-2602, November.
    Full references (including those not matched with items on IDEAS)

    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. Schechtman, Ricardo, 2013. "Default matrices: A complete measurement of banks’ consumer credit delinquency," Journal of Financial Stability, Elsevier, vol. 9(4), pages 460-474.
    2. Trueck, Stefan & Rachev, Svetlozar T., 2008. "Rating Based Modeling of Credit Risk," Elsevier Monographs, Elsevier, edition 1, number 9780123736833.
    3. Weißbach, Rafael & Mollenhauer, Thomas, 2011. "Modelling Rating Transitions," VfS Annual Conference 2011 (Frankfurt, Main): The Order of the World Economy - Lessons from the Crisis 48698, Verein für Socialpolitik / German Economic Association.
    4. Figlewski, Stephen & Frydman, Halina & Liang, Weijian, 2012. "Modeling the effect of macroeconomic factors on corporate default and credit rating transitions," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 87-105.
    5. Georges Dionne & Geneviève Gauthier & Khemais Hammami & Mathieu Maurice & Jean‐Guy Simonato, 2010. "Default Risk in Corporate Yield Spreads," Financial Management, Financial Management Association International, vol. 39(2), pages 707-731, June.
    6. Arnaud_de_Servigny & Norbert_Jobst, 2005. "An Empirical Analysis of Equity Default Swaps (I): Univariate Insights," International Finance 0503007, University Library of Munich, Germany.
    7. Jones, Stewart & Johnstone, David & Wilson, Roy, 2015. "An empirical evaluation of the performance of binary classifiers in the prediction of credit ratings changes," Journal of Banking & Finance, Elsevier, vol. 56(C), pages 72-85.
    8. Custodio João, Igor & Lucas, André & Schaumburg, Julia & Schwaab, Bernd, 2023. "Dynamic clustering of multivariate panel data," Journal of Econometrics, Elsevier, vol. 237(2).
    9. François Coppens & Fernando Gonzáles & Gerhard Winkler, 2007. "The performance of credit rating systems in the assessment of collateral used in Eurosystem monetary policy operations," Working Paper Research 118, National Bank of Belgium.
    10. Jeffrey R. Stokes, 2023. "A nonlinear inversion procedure for modeling the effects of economic factors on credit risk migration," Review of Quantitative Finance and Accounting, Springer, vol. 61(3), pages 855-878, October.
    11. Anisa Caja & Frédéric Planchet, 2014. "Modeling Cycle Dependence in Credit Insurance," Risks, MDPI, vol. 2(1), pages 1-15, March.
    12. Mogens Bladt & Michael SØrensen, 2009. "Efficient estimation of transition rates between credit ratings from observations at discrete time points," Quantitative Finance, Taylor & Francis Journals, vol. 9(2), pages 147-160.
    13. Xing, Haipeng & Sun, Ning & Chen, Ying, 2012. "Credit rating dynamics in the presence of unknown structural breaks," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 78-89.
    14. Dionne, Georges & Gauthier, Geneviève & Hammami, Khemais & Maurice, Mathieu & Simonato, Jean-Guy, 2011. "A reduced form model of default spreads with Markov-switching macroeconomic factors," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 1984-2000, August.
    15. Fuertes, Ana-Maria & Kalotychou, Elena, 2007. "On sovereign credit migration: A study of alternative estimators and rating dynamics," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3448-3469, April.
    16. Orth, Walter, 2011. "Default probability estimation in small samples: With an application to sovereign bonds," Discussion Papers in Econometrics and Statistics 5/11, University of Cologne, Institute of Econometrics and Statistics.
    17. Jill M. Phillips & Ani L. Katchova, 2004. "Credit score migration analysis of farm businesses: conditioning on business cycles and migration trends," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 64(1), pages 1-15, May.
    18. Jafry, Yusuf & Schuermann, Til, 2004. "Measurement, estimation and comparison of credit migration matrices," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2603-2639, November.
    19. Gunderson, Michael A. & Gloy, Brent A. & LaDue, Eddy L., 2005. "Pricing Agricultural Loans to Account for Long-Term Default Risk," 2005 Agricultural and Rural Finance Markets in Transition, October 3-4, 2005, Minneapolis, Minnesota 132750, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.
    20. Marius Pfeuffer & Goncalo dos Reis & Greig smith, 2018. "Capturing Model Risk and Rating Momentum in the Estimation of Probabilities of Default and Credit Rating Migrations," Papers 1809.09889, arXiv.org, revised Feb 2020.

    More about this item

    Keywords

    Agricultural Finance;

    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:ags:nc2005:132739. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aesukea.html .

    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.