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Credit Default Risk Assessment of Local Government Debts Based on KMV Model

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  • Zirong Zhuo
  • Jixiang Liu
  • Wenmin Luo

Abstract

With the continuing expansion of Chinese local government debts, its credit risk issues raise the public attention. According to the overall statistics data in Chinese Statistic Bureau, there¡¯re various scales of debts exist, undertaken by Chinese prefecture-level cities¡¯ local government. Some of them exceed the alerting level of international line. In an effort to measure the credit default risk level of Chinese local governments, this paper makes a moderate assessment of credit default risk based on modified KMV model. In conditions of a variety of local government revenue, this model calculates the distance from default and default possibility of local government debts under different guarantee proportion. Meanwhile, this paper also explores the variation of local governments¡¯ credit default risk when they use different financial ratio of financing for the construction of urban infrastructure. Finally, we reach the conclusion that the expected default probability shrinks as guarantee proportion raises, and increases as financing proportion raises; under a 40% of guarantee proportion, expected default rates are low with controllable risks; And within a financing proportion of 50%, chances of default as well as risks, are low.

Suggested Citation

  • Zirong Zhuo & Jixiang Liu & Wenmin Luo, 2016. "Credit Default Risk Assessment of Local Government Debts Based on KMV Model," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(5), pages 230-240, May.
  • Handle: RePEc:ibn:ijefaa:v:8:y:2016:i:5:p:230-240
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    References listed on IDEAS

    as
    1. Mehl, Arnaud & Reynaud, Julien, 2010. "Risky public domestic debt composition in emerging economies," Journal of International Money and Finance, Elsevier, vol. 29(1), pages 1-18, February.
    2. Vanja Bozic & Cosimo Magazzino, 2013. "Credit Rating Agencies: The Importance of Fundamentals in the Assessment of Sovereign Ratings," Economic Analysis and Policy, Elsevier, vol. 43(2), pages 157-176, September.
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    Cited by:

    1. Xing Li & Xiangyu Ge & Wei Fan & Hao Zheng, 2021. "Research on Spatial Correlation Characteristics and Their Spatial Spillover Effect of Local Government Debt Risks in China," Sustainability, MDPI, vol. 13(5), pages 1-32, March.

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    More about this item

    Keywords

    local government debts; modified KMV model; credit risk; probability of default;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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