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Assessing Municipal Bond Default Probabilities

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  • Holian, Matthew
  • Joffe, Marc

Abstract

In response to a request from the California Debt and Investment Advisory Commission, we propose a model to estimate default probabilities for bonds issued by cities. The model can be used with financial data available in Comprehensive Annual Financial Reports that cities are required to publish. The study includes modeled default probability estimates for 261 California cities with population over 25,000. Our model relies on case study evidence, logistic regression analysis of major city financial statistics from the Great Depression – the last time a large number of cities defaulted – as well as logistic regression analysis of more recent city financial statistics. Independent variables in our model include (1) the ratio of interest and pension expenses to total revenue, (2) the annual change in total revenue, (3) the ratio of general fund surplus (or deficit) to general fund revenues and (4) the ratio of general fund balance to general fund expenditures.

Suggested Citation

  • Holian, Matthew & Joffe, Marc, 2013. "Assessing Municipal Bond Default Probabilities," MPRA Paper 46728, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:46728
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    References listed on IDEAS

    as
    1. Lennox, Clive, 1999. "Identifying failing companies: a re-evaluation of the logit, probit and DA approaches," Journal of Economics and Business, Elsevier, vol. 51(4), pages 347-364, July.
    2. Francis A. Longstaff & Sanjay Mithal & Eric Neis, 2005. "Corporate Yield Spreads: Default Risk or Liquidity? New Evidence from the Credit Default Swap Market," Journal of Finance, American Finance Association, vol. 60(5), pages 2213-2253, October.
    3. Carmen M. Reinhart & Kenneth S. Rogoff, 2009. "Varieties of Crises and Their Dates," Introductory Chapters, in: This Time Is Different: Eight Centuries of Financial Folly, Princeton University Press.
    4. Wu, Chunchi, 1991. "A Certainty Equivalent Approach to Municipal Bond Default Risk Estimation," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 14(3), pages 241-247, Fall.
    5. James Crotty, 2011. "The Realism of Assumptions Does Matter: Why Keynes-Minsky Theory Must Replace Efficient Market Theory as the Guide to Financial Regulation Policy," UMASS Amherst Economics Working Papers 2011-05, University of Massachusetts Amherst, Department of Economics.
    6. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    7. Zorn, Christopher, 2005. "A Solution to Separation in Binary Response Models," Political Analysis, Cambridge University Press, vol. 13(2), pages 157-170, April.
    8. Summers, Lawrence H, 1986. "Does the Stock Market Rationally Reflect Fundamental Values?," Journal of Finance, American Finance Association, vol. 41(3), pages 591-601, July.
    9. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Working Papers 111, Princeton University, Department of Economics, Center for Economic Policy Studies..
    10. Keim, Donald B. & Stambaugh, Robert F., 1986. "Predicting returns in the stock and bond markets," Journal of Financial Economics, Elsevier, vol. 17(2), pages 357-390, December.
    11. repec:pri:cepsud:91malkiel is not listed on IDEAS
    12. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    13. moon, Choon-Geol & Stotsky, Janet G., 1993. "Municipal bond rating analysis : Sample selectivity and simultaneous equations bias," Regional Science and Urban Economics, Elsevier, vol. 23(1), pages 29-50, March.
    14. Wang, Junbo & Wu, Chunchi & Zhang, Frank X., 2008. "Liquidity, default, taxes, and yields on municipal bonds," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1133-1149, June.
    15. Hempel, George H, 1973. "An Evaluation of Municipal "Bankruptcy" Laws and Procedures," Journal of Finance, American Finance Association, vol. 28(5), pages 1339-1351, December.
    16. Edward I. Altman & Gabriele Sabato, 2013. "MODELING CREDIT RISK FOR SMEs: EVIDENCE FROM THE US MARKET," World Scientific Book Chapters, in: Oliviero Roggi & Edward I Altman (ed.), Managing and Measuring Risk Emerging Global Standards and Regulations After the Financial Crisis, chapter 9, pages 251-279, World Scientific Publishing Co. Pte. Ltd..
    17. Carleton, Willard T & Lerner, Eugene M, 1969. "Statistical Credit Scoring of Municipal Bonds," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 1(4), pages 750-764, November.
    18. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    19. Zmijewski, Me, 1984. "Methodological Issues Related To The Estimation Of Financial Distress Prediction Models," Journal of Accounting Research, Wiley Blackwell, vol. 22, pages 59-82.
    20. Burton G. Malkiel, 2003. "The Efficient Market Hypothesis and Its Critics," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 59-82, Winter.
    21. Hempel, George H, 1973. "Quantitative Borrower Characteristics Associated with Defaults on Municipal General Obligations," Journal of Finance, American Finance Association, vol. 28(2), pages 523-530, May.
    22. Chunchi Wu, 1991. "A Certainty Equivalent Approach To Municipal Bond Default Risk Estimation," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 14(3), pages 241-247, September.
    23. Chalmers, John M R, 1998. "Default Risk Cannot Explain the Muni Puzzle: Evidence from Municipal Bonds That Are Secured by U.S. Treasury Obligations," The Review of Financial Studies, Society for Financial Studies, vol. 11(2), pages 281-308.
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    Cited by:

    1. Jerch, Rhiannon & Kahn, Matthew E. & Lin, Gary C., 2023. "Local public finance dynamics and hurricane shocks," Journal of Urban Economics, Elsevier, vol. 134(C).
    2. Gorina, Evgenia & Joffe, Marc & Maher, Craig, 2018. "Using Fiscal Ratios to Predict Local Fiscal Distress," Working Papers 07776, George Mason University, Mercatus Center.
    3. Eymen Errais, 2019. "What Drives Municipalities Default Risk?," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(3), pages 49-57, March.
    4. Janda, Karel & Moreira, David, 2016. "Credit risk modelling: default probabilities for Portuguese municipalities," MPRA Paper 74561, University Library of Munich, Germany.
    5. Elena GORI & Silvia FISSI, 2014. "Scoring The Default Risk Of Local Authority," Journal of Public Administration, Finance and Law, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 5(5), pages 7-25, June.
    6. Siodla, James, 2020. "Debt and taxes: Fiscal strain and US city budgets during the Great Depression," Explorations in Economic History, Elsevier, vol. 76(C).

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    More about this item

    Keywords

    municipal bonds; municipal bankruptcy; default probability model;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • H74 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Borrowing
    • R51 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Finance in Urban and Rural Economies

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