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Advance Refundings of Municipal Bonds

Author

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  • ANDREW ANG
  • RICHARD C. GREEN
  • FRANCIS A. LONGSTAFF
  • YUHANG XING

Abstract

Municipal bonds are often "advance refunded." Bonds that are not yet callable are defeased by creating a trust that pays the interest up to the call date, and pays the call price. New debt, generally at lower interest rates, is issued to fund the trust. Issuing new securities generally has zero net present value. In this case, however, value is destroyed for the issuer through the pre-commitment to call. We estimate that for the typical bond in an advance refunding, the option value lost to the municipality is approximately 1% of the par value not including fees. This translates to an aggregate value lost of over $4 billion from 1996 to 2009 for the bonds in our sample, which are roughly half of the universe of advance refunded bonds that traded during the period. The worst 5% of the transactions represent a destruction of $2.9 billion for taxpayers. We discuss various motives for the transaction, and argue that a major one is the need for short-term budget relief. Advance refunding enables the issuer to borrow for current operating activities in exchange for higher interest payments after the call date. We find that municipalities in states with poor governance generally destroy the most value by advance refunding.
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Suggested Citation

  • Andrew Ang & Richard C. Green & Francis A. Longstaff & Yuhang Xing, 2017. "Advance Refundings of Municipal Bonds," Journal of Finance, American Finance Association, vol. 72(4), pages 1645-1682, August.
  • Handle: RePEc:bla:jfinan:v:72:y:2017:i:4:p:1645-1682
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    File URL: http://hdl.handle.net/10.1111/jofi.2017.72.issue-4
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    1. Vijayakumar, Jayaraman, 1995. "An empirical analysis of the factors influencing call decisions of local government bonds," Journal of Accounting and Public Policy, Elsevier, vol. 14(3), pages 203-231.
    2. Glaeser, Edward L. & Ponzetto, Giacomo A.M., 2014. "Shrouded costs of government: The political economy of state and local public pensions," Journal of Public Economics, Elsevier, vol. 116(C), pages 89-105.
    3. Vasicek, Oldrich, 1977. "An equilibrium characterization of the term structure," Journal of Financial Economics, Elsevier, vol. 5(2), pages 177-188, November.
    4. Hull, John & White, Alan, 1990. "Pricing Interest-Rate-Derivative Securities," The Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 573-592.
    5. Jamshidian, Farshid, 1989. " An Exact Bond Option Formula," Journal of Finance, American Finance Association, vol. 44(1), pages 205-209, March.
    6. Tima T. Moldogaziev & Martin J. Luby, 2012. "State and Local Government Bond Refinancing and the Factors Associated with the Refunding Decision," Public Finance Review, , vol. 40(5), pages 614-642, September.
    7. Robert Novy-Marx & Joshua D. Rauh, 2009. "The Liabilities and Risks of State-Sponsored Pension Plans," Journal of Economic Perspectives, American Economic Association, vol. 23(4), pages 191-210, Fall.
    8. Kraus, Alan, 1973. "The Bond Refunding Decision in an Efficient Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 8(5), pages 793-806, December.
    9. 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.
    10. Dai, Qiang & Singleton, Kenneth J., 2002. "Expectation puzzles, time-varying risk premia, and affine models of the term structure," Journal of Financial Economics, Elsevier, vol. 63(3), pages 415-441, March.
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    Cited by:

    1. Daniel Garrett & Andrey Ordin & James W Roberts & Juan Carlos Suárez Serrato, 2023. "Tax Advantages and Imperfect Competition in Auctions for Municipal Bonds," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(2), pages 815-851.
    2. Aiello, Darren J., 2022. "Financially constrained mortgage servicers," Journal of Financial Economics, Elsevier, vol. 144(2), pages 590-610.
    3. Gao, Pengjie & Lee, Chang & Murphy, Dermot, 2020. "Financing dies in darkness? The impact of newspaper closures on public finance," Journal of Financial Economics, Elsevier, vol. 135(2), pages 445-467.
    4. Ivanov, Ivan T. & Zimmermann, Tom & Heinrich, Nathan W., 2022. "Limits of disclosure regulation in the municipal bond market," CFR Working Papers 22-05, University of Cologne, Centre for Financial Research (CFR).
    5. O. Emre Ergungor & Stephan D. Whitaker, 2016. "Premium Municipal Bonds and Issuer Fiscal Distress," Working Papers (Old Series) 1534, Federal Reserve Bank of Cleveland.
    6. Jess N. Cornaggia & Kimberly J. Cornaggia & Ryan D. Israelsen, 2020. "Where the Heart Is: Information Production and the Home Bias," Management Science, INFORMS, vol. 66(12), pages 5532-5557, December.
    7. Stephanie F. Cheng, 2021. "The Information Externality of Public Firms’ Financial Information in the State‐Bond Secondary Market," Journal of Accounting Research, Wiley Blackwell, vol. 59(2), pages 529-574, May.
    8. Zura Kakushadze & Juan Andrés Serur, 2018. "151 Trading Strategies," Springer Books, Springer, number 978-3-030-02792-6, December.
    9. Landoni, Mattia, 2018. "Tax distortions and bond issue pricing," Journal of Financial Economics, Elsevier, vol. 129(2), pages 382-393.

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    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • H21 - Public Economics - - Taxation, Subsidies, and Revenue - - - Efficiency; Optimal Taxation
    • H24 - Public Economics - - Taxation, Subsidies, and Revenue - - - Personal Income and Other Nonbusiness Taxes and Subsidies

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