Assessing Municipal Bond Default Probabilities
Matthew John Holian
San Jose State University - Department of Economics
Marc D. Joffe
Public Sector Credit Solutions; San Francisco State University
April 30, 2013
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.
Update (November 2013): The final version of this paper is now available on the California State Treasurer's web site.
Number of Pages in PDF File: 154
Keywords: municipal bonds, municipal bankruptcy, default probability model
JEL Classification: H74, C35, R51working papers series
Date posted: May 2, 2013 ; Last revised: November 19, 2013
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