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Market discipline in the banking industry: evidence from spread dispersion

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  • Giuliano Iannotta

Abstract

Do bond investors price hidden information? To address this question, we use a heteroscedastic regression model to empirically examine the factors affecting the spread dispersion unexplained by easy-to-observe issue characteristics (such as credit ratings, size, maturity, etc.). Two main results emerge from the empirical analysis. First, variables that accurately predict the spread of the typical bond lose their explanatory power for worse-rated, subordinated bonds with longer maturity and smaller face value. This result suggests that investors price hidden information. Secondly, unexplained spread dispersion increases for open-priced offers and decreases with the number of banks involved in the syndicate, indicating that primary market characteristics affect the investors' ability to uncover hidden information.

Suggested Citation

  • Giuliano Iannotta, 2011. "Market discipline in the banking industry: evidence from spread dispersion," The European Journal of Finance, Taylor & Francis Journals, vol. 17(2), pages 111-131.
    • Handle: RePEc:taf:eurjfi:v:17:y:2011:i:2:p:111-131
    DOI: 10.1080/13518471003638625
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    References listed on IDEAS

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    Cited by:

    1. Fabrizio Crespi & Emanuela Giacomini & Danilo V. Mascia, 2019. "Bail‐in rules and the pricing of Italian bank bonds," European Financial Management, European Financial Management Association, vol. 25(5), pages 1321-1347, November.
    2. Pablos Nuevo, Irene, 2019. "Has the new bail-in framework increased the yield spread between subordinated and senior bonds?," Working Paper Series 2317, European Central Bank.
    3. Agnese, Paolo & Giacomini, Emanuela, 2023. "Bank's funding costs: Do ESG factors really matter?," Finance Research Letters, Elsevier, vol. 51(C).
    4. Godspower-Akpomiemie, Euphemia & Ojah, Kalu, 2021. "Market discipline, regulation and banking effectiveness: Do measures matter?," Journal of Banking & Finance, Elsevier, vol. 133(C).
    5. Geraldo Cerqueiro & Hans Degryse & Steven Ongena, 2013. "Using heteroskedastic models to analyze the use of rules versus discretion in lending decisions," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 9, pages 216-237, Edward Elgar Publishing.
    6. Purda, Lynnette & Sonmez, Fatma & Zhong, Ligang, 2015. "Financial institution credit assessment and implications for portfolio managers," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 148-166.
    7. Iannotta, Giuliano & Nocera, Giacomo & Resti, Andrea, 2013. "Do investors care about credit ratings? An analysis through the cycle," Journal of Financial Stability, Elsevier, vol. 9(4), pages 545-555.

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