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Identifying risks in emerging market sovereign and corporate bond spreads

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  • Zinna, Gabriele

    (Bank of England)

Abstract

This study investigates the systematic risk factors driving emerging market (EM) credit risk by jointly modelling sovereign and corporate credit spreads at a global level. We use a multi-regional Bayesian panel VAR model, with time-varying betas and multivariate stochastic volatility. This model allows us to decompose credit spreads and to build indicators of EM risks. We find that indices of EM sovereign and corporate credit spreads differ because of their specific reactions to global risk factors. Following the failure of Lehman Brothers, EM sovereign spreads ‘decoupled’ from the US corporate market. In contrast, EM corporate bond spreads widened in response to higher US corporate default risk. We also find that the response of sovereign bond spreads to the VIX was short-lived. However, both EM sovereign and corporate bond spreads widened in flight-to-liquidity episodes, as proxied by the OIS-Treasury spread. Overall, the model is capable of generating other interesting results about the comovement of sovereign and corporate spreads.

Suggested Citation

  • Zinna, Gabriele, 2011. "Identifying risks in emerging market sovereign and corporate bond spreads," Bank of England working papers 430, Bank of England.
    • Handle: RePEc:boe:boeewp:0430
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    3. Azad, A.S.M. Sohel & Batten, Jonathan A. & Fang, Victor, 2015. "What determines the yen swap spread?," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 1-13.
    4. Yinghui Chen & Lunan Jiang, 2019. "Liquidity Risk and Corporate Bond Yield Spread: Evidence from China," CFDS Discussion Paper Series 2019/9, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
    5. Yuanxin Liu & FengYun Li & Xinhua Yu & Jiahai Yuan & Dong Zhou, 2018. "Assessing the Credit Risk of Corporate Bonds Based on Factor Analysis and Logistic Regress Analysis Techniques: Evidence from New Energy Enterprises in China," Sustainability, MDPI, vol. 10(5), pages 1-21, May.
    6. Batten, Jonathan A. & Jacoby, Gady & Liao, Rose C., 2014. "Corporate yield spreads and real interest rates," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 89-100.
    7. Yinghui Chen & Lunan Jiang, 2021. "Liquidity risk and corporate bond yield spread: Evidence from China," International Review of Finance, International Review of Finance Ltd., vol. 21(4), pages 1117-1151, December.
    8. Li, Delong & Magud, Nicolas E. & Werner, Alejandro, 2023. "The long-run impact of sovereign yields on corporate yields in emerging markets," Journal of International Money and Finance, Elsevier, vol. 130(C).
    9. Fernández-Rodríguez, Fernando & Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2016. "Using connectedness analysis to assess financial stress transmission in EMU sovereign bond market volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 43(C), pages 126-145.
    10. Sohel Azad, A.S.M. & Batten, Jonathan A. & Fang, Victor & Wickramanayake, Jayasinghe, 2015. "International swap market contagion and volatility," Economic Modelling, Elsevier, vol. 47(C), pages 355-371.
    11. Christian Klein & Christoph Stellner, 2014. "Does sovereign risk matter? New evidence from eurozone corporate bond ratings and zero‐volatility spreads," Review of Financial Economics, John Wiley & Sons, vol. 23(2), pages 64-74, April.
    12. Dodd, Olga & Kalimipalli, Madhu & Chan, Wing, 2021. "Evaluating corporate credit risks in emerging markets," International Review of Financial Analysis, Elsevier, vol. 73(C).

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    Keywords

    Bayesian econometrics; factor models; emerging markets; credit spreads;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F34 - International Economics - - International Finance - - - International Lending and Debt Problems

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