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Risk and returns around bond rating changes: New evidence from the Spanish Stock Market

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  • Pilar Abad Romero

    (Universidad Complutense de Madrid, Dpto. de Economía Cuantica)

  • M. Dolores Robles Fernández

    (Universidad Complutense de Madrid, Dpto. de Economía Cuantica)

Abstract

This study analyzes the effect of corporate bond rating changes over stock prices. We explore the effects over excess of returns and systematic risk. Rating changes by Moody´s, Standard and Poor´sor FitchIBCA are analyzed. On an efficient market, these changes will omly have some effect if they contain some new information or if they are associated to a redistribution of dummy approach. Our results indicate that rating downgrades do not cause abnormal returns around the date of the announcement while upgrades cause significantly negative effect.

Suggested Citation

  • Pilar Abad Romero & M. Dolores Robles Fernández, 2005. "Risk and returns around bond rating changes: New evidence from the Spanish Stock Market," Documentos de Trabajo del ICAE 0505, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
  • Handle: RePEc:ucm:doicae:0505
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    References listed on IDEAS

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    Cited by:

    1. Thomas Lagner & Dodozu Knyphausen‐Aufseß, 2012. "Rating Agencies as Gatekeepers to the Capital Market: Practical Implications of 40 Years of Research," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 21(3), pages 157-202, August.
    2. Matthies, Alexander B., 2013. "Empirical research on corporate credit-ratings: A literature review," SFB 649 Discussion Papers 2013-003, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    3. Mohamed Abulgasem A. Elhaj & Nurul Aini Muhamed & Nathasa Mazna Ramli & Nor Balkish Zakaria, 2016. "Ownership Monitoring Mechanism over Sukuk Credit Rating," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 6(12), pages 700-720, December.
    4. Patrycja Chodnicka – Jaworska & Piotr Jaworski, 2019. "The Chinese and The Big Three Credit Rating Agencies – their impact on stock prices," Faculty of Management Working Paper Series 22019, University of Warsaw, Faculty of Management.
    5. Yuriy Zabolotnyuk, 2018. "Wealth Effects of Bond Rating Announcements," Multinational Finance Journal, Multinational Finance Journal, vol. 22(3-4), pages 211-254, September.
    6. Rima Ayu Shintyawati & Caturida Meiwanto Doktoralina & Nurhasanah & Sri Anah, 2020. "The Volume of Issuance of Government Islamic Securities SR-007 Series, 2015¨C2018," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 11(5), pages 56-68, October.
    7. Paula Hill & Robert Faff, 2010. "The Market Impact of Relative Agency Activity in the Sovereign Ratings Market," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(9‐10), pages 1309-1347, November.
    8. Afik, Zvika & Zabolotnyuk, Yuriy, 2023. "Information effect of credit rating announcements in transition economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 89(C).
    9. Mengyao Kang, 2022. "Credit rating downgrade risk and acquisition decisions," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(5-6), pages 1011-1073, May.

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    More about this item

    Keywords

    Credit rating agencies; Rating changes; Event study; Stock returns; Event study dummy approach; Systematic risk; SUR.;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models

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