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Determinants of the distance between sovereign credit ratings and sub-sovereign bond ratings: Evidence from emerging markets and developing economies

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  • Sanket Mohapatra
  • Manabu Nose
  • Dilip Ratha

Abstract

This article explores factors that affect the distance between sovereign credit ratings and the ratings assigned to new foreign-currency bonds issued by sub-sovereign entities (such as private non-financial corporations, financial firms, and public sector enterprises) in 47 emerging markets and developing economies. Censored and double-hurdle regression models are used to estimate the relative contributions of bond-level, issuer-level, and macroeconomic factors that determine this distance, separately for those rated at or below the sovereign rating and those rated above. For the three quarters or more of sub-sovereign bond ratings that are constrained by the sovereign rating ceiling, a Tobit regression model shows a smaller distance – suggesting stronger sovereign–corporate linkages – for public sector enterprises and financial firms relative to other firms. Riskier global financial conditions are also associated with sub-sovereign bonds being rated closer to the sovereign rating. For the small number of sub-sovereign bonds rated higher than the sovereign rating, a double-hurdle model shows that certain debt features – such as bonds backed by future-flow receivables or other collateral or structured as Special Purpose Vehicles (SPV) – significantly raise the likelihood of piercing the sovereign rating ceiling and also increase the distance above the sovereign ceiling.

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  • Sanket Mohapatra & Manabu Nose & Dilip Ratha, 2018. "Determinants of the distance between sovereign credit ratings and sub-sovereign bond ratings: Evidence from emerging markets and developing economies," Applied Economics, Taylor & Francis Journals, vol. 50(9), pages 934-956, February.
  • Handle: RePEc:taf:applec:v:50:y:2018:i:9:p:934-956
    DOI: 10.1080/00036846.2017.1346364
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    Cited by:

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    3. B M, Lithin & chakraborty, Suman & iyer, Vishwanathan & M N, Nikhil & ledwani, Sanket, 2022. "Modeling asymmetric sovereign bond yield volatility with univariate GARCH models: Evidence from India," MPRA Paper 117067, University Library of Munich, Germany, revised 05 Jan 2023.
    4. Santiago José Pérez-Balsalobre & Carlos Llano-Verduras, 2021. "Modelling sovereign debt ratings for sub-national governments: the case of Spain before and after the crisis," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(2), pages 373-395, May.
    5. Jose E. Gomez-Gonzalez & Jorge M. Uribe & Oscar M. Valencia, 2023. "Risk spillovers between global corporations and Latin American sovereigns: global factors matter," Applied Economics, Taylor & Francis Journals, vol. 55(13), pages 1477-1496, March.
    6. Sahibzada, Irfan Ullah & Rizwan, Muhammad Suhail & Qureshi, Anum, 2022. "Impact of sovereign credit ratings on systemic risk and the moderating role of regulatory reforms: An international investigation," Journal of Banking & Finance, Elsevier, vol. 145(C).
    7. Aras, Osman Nuri & Öztürk, Mustafa, 2018. "The Effect of the Macroeconomic Determinants on Sovereign Credit Rating of Turkey," MPRA Paper 86642, University Library of Munich, Germany.
    8. Barry Eichengreen & Poonam Gupta, 2023. "Priorities for the G20 Finance Track," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 17(1-2), pages 7-58, February.
    9. Brzozowski Michał & Siwińska-Gorzelak Joanna, 2018. "Sovereign external debt and private sector entry in international financial markets," Economics and Business Review, Sciendo, vol. 4(2), pages 24-40, June.

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