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Credit Spread Changes within Switching Regimes

Author

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  • Olfa Maalaoui
  • Georges Dionne
  • Pascal François

Abstract

Many empirical studies on credit spread determinants consider a single-regime model over the entire sample period and find limited explanatory power. We model the credit cycle independently from macroeconomic fundamentals using a Markov regime switching model. We show that accounting for endogenous credit cycles enhances the explanatory power of credit spread determinants. The single regime model cannot be improved when conditioning on the states of the NBER economic cycle. Furthermore, the regime-based model highlights a positive relation between credit spreads and the risk-free rate in the high regime. Inverted relations are also obtained for some other determinants.

Suggested Citation

  • Olfa Maalaoui & Georges Dionne & Pascal François, 2009. "Credit Spread Changes within Switching Regimes," Cahiers de recherche 0905, CIRPEE.
  • Handle: RePEc:lvl:lacicr:0905
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    References listed on IDEAS

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    Cited by:

    1. Georges Dionne & Olfa Maalaoui Chun, 2013. "Default and liquidity regimes in the bond market during the 2002-2012 period," Canadian Journal of Economics, Canadian Economics Association, vol. 46(4), pages 1160-1195, November.
    2. Guidolin, Massimo & Orlov, Alexei G. & Pedio, Manuela, 2017. "The impact of monetary policy on corporate bonds under regime shifts," Journal of Banking & Finance, Elsevier, vol. 80(C), pages 176-202.
    3. Chamizo, Álvaro & Novales, Alfonso, 2020. "Looking through systemic credit risk: Determinants, stress testing and market value," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 64(C).
    4. Yun Xie & Yixiang Tian & Zhuang Xiao & Xiangyun Zhou, 2018. "Dependence of credit spread and macro-conditions based on an alterable structure model," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-15, May.
    5. Bhanu Pratap Singh Thakur & M. Kannadhasan & Vinay Goyal, 2018. "Determinants of corporate credit spread: evidence from India," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 45(1), pages 59-73, March.
    6. Nusrat Jahan, 2022. "Macroeconomic Determinants of Corporate Credit Spreads: Evidence from Canada," Carleton Economic Papers 22-07, Carleton University, Department of Economics.
    7. Jiang, Yong & Liu, Cenjie & Xie, Rui, 2021. "Oil price shocks and credit spread: Structural effect and dynamic spillover," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    8. Samir Kadiric & Arthur Korus, 2019. "The effects of Brexit on credit spreads: Evidence from UK and Eurozone corporate bond markets," International Economics and Economic Policy, Springer, vol. 16(1), pages 65-102, March.
    9. Okou, Cedric & Maalaoui Chun, Olfa & Dionne, Georges & Li, Jingyuan, 2016. "Can Higher-Order Risks Explain the Credit Spread Puzzle?," Working Papers 16-1, HEC Montreal, Canada Research Chair in Risk Management.
    10. Samir Kadiric & Arthur Korus, 2018. "Effects of Brexit on Corporate Yield Spreads: Evidence from UK and Eurozone Corporate Bond Markets," EIIW Discussion paper disbei251, Universitätsbibliothek Wuppertal, University Library.
    11. Zeitsch, Peter J., 2019. "A jump model for credit default swaps with hierarchical clustering," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 737-775.
    12. Su-Lien Lu & Kuo-Jung Lee, 2021. "Investigating the Determinants of Credit Spread Using a Markov Regime-Switching Model: Evidence from Banks in Taiwan," Sustainability, MDPI, vol. 13(17), pages 1-25, August.
    13. Riedel, Christoph & Thuraisamy, Kannan S. & Wagner, Niklas, 2013. "Credit cycle dependent spread determinants in emerging sovereign debt markets," Emerging Markets Review, Elsevier, vol. 17(C), pages 209-223.
    14. Tarik Bazgour & Federico Platania, 2022. "A defaultable bond model with cyclical fluctuations in the spread process," Annals of Operations Research, Springer, vol. 312(2), pages 647-672, May.
    15. Hsu, Yuan-Lin & Lin, Shih-Kuei & Hung, Ming-Chin & Huang, Tzu-Hui, 2016. "Empirical analysis of stock indices under a regime-switching model with dependent jump size risks," Economic Modelling, Elsevier, vol. 54(C), pages 260-275.
    16. Kim, Sung Ik, 2023. "A comparative study of firm value models: Default risk of corporate bonds," Finance Research Letters, Elsevier, vol. 56(C).
    17. Anténor-Habazac, Cassandre & Dionne, Georges & Guesmi, Sahar, 2018. "Cyclical variations in liquidity risk of corporate bonds," Working Papers 18-3, HEC Montreal, Canada Research Chair in Risk Management.
    18. Stephanie Heck, 2022. "Corporate bond yields and returns: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 36(2), pages 179-201, June.
    19. Pascal François & Stephanie Heck & Georges Hübner & Thomas Lejeune, 2022. "Comoment risk in corporate bond yields and returns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 45(3), pages 471-512, September.
    20. Kalimipalli, Madhu & Nayak, Subhankar & Perez, M. Fabricio, 2013. "Dynamic effects of idiosyncratic volatility and liquidity on corporate bond spreads," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2969-2990.
    21. Changqing Luo & Mengzhen Li & Zisheng Ouyang, 2016. "An empirical study on the correlation structure of credit spreads based on the dynamic and pair copula functions," China Finance Review International, Emerald Group Publishing Limited, vol. 6(3), pages 284-303, August.
    22. Klein, Arne C. & Pliszka, Kamil, 2018. "The time-varying impact of systematic risk factors on corporate bond spreads," Discussion Papers 14/2018, Deutsche Bundesbank.
    23. Li, Xiao-Lin & Li, Xin & Si, Deng-Kui, 2020. "Asymmetric determinants of corporate bond credit spreads in China: Evidence from a nonlinear ARDL model," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).

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    More about this item

    Keywords

    Credit spread; switching regimes; market risk; liquidity risk; default risk; credit cycle; NBER economic cycle;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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