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Do information contagion and business model similarities explain bank credit risk commonalities?

Author

Listed:
  • Wang, Dieter
  • van Lelyveld, Iman
  • Schaumburg, Julia
Abstract
This paper revisits the credit spread puzzle for banks from the perspective of information contagion. The puzzle consists of two stylized facts: Structural determinants of credit risk not only have low explanatory power but also fail to capture common factors in the residuals. We reproduce the puzzle for European bank credit spreads and hypothesize that the puzzle exists because structural models ignore contagion effects. We therefore extend the structural approach to include information contagion through bank business model similarities. To capture this channel, we propose an intuitive measure for portfolio overlap and apply it to the complete asset holdings of the largest banks in the Eurozone. Incorporating this unique network information into the structural model increases explanatory power and removes a systemic common factor from the residuals. Furthermore, neglecting the network likely overstates the importance of structural determinants. JEL Classification: G01, G21, C32, C33, C38

Suggested Citation

  • Wang, Dieter & van Lelyveld, Iman & Schaumburg, Julia, 2019. "Do information contagion and business model similarities explain bank credit risk commonalities?," ESRB Working Paper Series 94, European Systemic Risk Board.
  • Handle: RePEc:srk:srkwps:201994
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    References listed on IDEAS

    as
    1. Morrison, Alan D. & White, Lucy, 2013. "Reputational contagion and optimal regulatory forbearance," Journal of Financial Economics, Elsevier, vol. 110(3), pages 642-658.
    2. Betz, Frank & Hautsch, Nikolaus & Peltonen, Tuomas A. & Schienle, Melanie, 2016. "Systemic risk spillovers in the European banking and sovereign network," Journal of Financial Stability, Elsevier, vol. 25(C), pages 206-224.
    3. Shleifer, Andrei & Vishny, Robert W, 1992. "Liquidation Values and Debt Capacity: A Market Equilibrium Approach," Journal of Finance, American Finance Association, vol. 47(4), pages 1343-1366, September.
    4. Mert Demirer & Francis X. Diebold & Laura Liu & Kamil Yilmaz, 2018. "Estimating global bank network connectedness," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(1), pages 1-15, January.
    5. Allen, Franklin & Babus, Ana & Carletti, Elena, 2012. "Asset commonality, debt maturity and systemic risk," Journal of Financial Economics, Elsevier, vol. 104(3), pages 519-534.
    6. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    7. Rungporn Roengpitya & Nikola Tarashev & Kostas Tsatsaronis & Alan Villegas, 2017. "Bank business models: popularity and performance," BIS Working Papers 682, Bank for International Settlements.
    8. Billio, Monica & Getmansky, Mila & Lo, Andrew W. & Pelizzon, Loriana, 2012. "Econometric measures of connectedness and systemic risk in the finance and insurance sectors," Journal of Financial Economics, Elsevier, vol. 104(3), pages 535-559.
    9. Nucera, Federico & Lucas, André & Schaumburg, Julia & Schwaab, Bernd, 2017. "Do negative interest rates make banks less safe?," Economics Letters, Elsevier, vol. 159(C), pages 112-115.
    10. Ericsson, Jan & Jacobs, Kris & Oviedo, Rodolfo, 2009. "The Determinants of Credit Default Swap Premia," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(1), pages 109-132, February.
    11. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    12. Glasserman, Paul & Young, H. Peyton, 2015. "How likely is contagion in financial networks?," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 383-399.
    13. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    14. Markus Brunnermeier & Laurent Clerc & Yanis El Omari & Silvia Gabrieli & Steffen Kern & Christoph Memmel & Tuomas Peltonen & Natalia Podlich & Martin Scheicher & Guillaume Vuillemey, 2013. "Assessing contagion risks from the CDS market," ESRB Occasional Paper Series 04, European Systemic Risk Board.
    15. Zuber Verena & Strimmer Korbinian, 2011. "High-Dimensional Regression and Variable Selection Using CAR Scores," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 10(1), pages 1-27, July.
    16. John Y. Campbell & Glen B. Taksler, 2003. "Equity Volatility and Corporate Bond Yields," Journal of Finance, American Finance Association, vol. 58(6), pages 2321-2350, December.
    17. Kiewiet, Gera & van Lelyveld, Iman Paul Pieter & van Wijnbergen, Sweder, 2017. "Contingent Convertibles: Can the Market handle them?," CEPR Discussion Papers 12359, C.E.P.R. Discussion Papers.
    18. Coval, Joshua & Stafford, Erik, 2007. "Asset fire sales (and purchases) in equity markets," Journal of Financial Economics, Elsevier, vol. 86(2), pages 479-512, November.
    19. Ahnert, Toni & Georg, Co-Pierre, 2018. "Information contagion and systemic risk," Journal of Financial Stability, Elsevier, vol. 35(C), pages 159-171.
    20. Viral V. Acharya & Tanju Yorulmazer, 2008. "Information Contagion and Bank Herding," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(1), pages 215-231, February.
    21. Rodrigo Cifuentes & Hyun Song Shin & Gianluigi Ferrucci, 2005. "Liquidity Risk and Contagion," Journal of the European Economic Association, MIT Press, vol. 3(2-3), pages 556-566, 04/05.
    22. Christophe Andrieu & Arnaud Doucet, 2002. "Particle filtering for partially observed Gaussian state space models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 827-836, October.
    23. Paul Glasserman & Peyton Young, 2015. "Contagion in Financial Networks," Economics Series Working Papers 764, University of Oxford, Department of Economics.
    24. Fontana, Alessandro & Scheicher, Martin, 2016. "An analysis of euro area sovereign CDS and their relation with government bonds," Journal of Banking & Finance, Elsevier, vol. 62(C), pages 126-140.
    25. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    26. Nikolaus Hautsch & Julia Schaumburg & Melanie Schienle, 2015. "Financial Network Systemic Risk Contributions," Review of Finance, European Finance Association, vol. 19(2), pages 685-738.
    27. Malik, Sheheryar & Pitt, Michael K., 2011. "Particle filters for continuous likelihood evaluation and maximisation," Journal of Econometrics, Elsevier, vol. 165(2), pages 190-209.
    28. Caccioli, Fabio & Shrestha, Munik & Moore, Cristopher & Farmer, J. Doyne, 2014. "Stability analysis of financial contagion due to overlapping portfolios," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 233-245.
    29. Poledna, Sebastian & Martínez-Jaramillo, Serafín & Caccioli, Fabio & Thurner, Stefan, 2021. "Quantification of systemic risk from overlapping portfolios in the financial system," Journal of Financial Stability, Elsevier, vol. 52(C).
    30. Rungporn Roengpitya & Nikola Tarashev & Kostas Tsatsaronis, 2014. "Bank business models," BIS Quarterly Review, Bank for International Settlements, December.
    31. Benjamin Yibin Zhang & Hao Zhou & Haibin Zhu, 2009. "Explaining Credit Default Swap Spreads with the Equity Volatility and Jump Risks of Individual Firms," The Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5099-5131, December.
    32. Slovin, Myron B. & Sushka, Marie E. & Polonchek, John A., 1999. "An analysis of contagion and competitive effects at commercial banks," Journal of Financial Economics, Elsevier, vol. 54(2), pages 197-225, October.
    33. Morrison, Alan & White, Lucy, 2013. "Reputational Contagion and Optimal Regulatory Forbearance," CEPR Discussion Papers 9508, C.E.P.R. Discussion Papers.
    34. Routledge, Bryan R, 1999. "Adaptive Learning in Financial Markets," The Review of Financial Studies, Society for Financial Studies, vol. 12(5), pages 1165-1202.
    35. Fernando Duarte & Thomas M. Eisenbach, 2021. "Fire‐Sale Spillovers and Systemic Risk," Journal of Finance, American Finance Association, vol. 76(3), pages 1251-1294, June.
    36. Luigi Fabbris, 1980. "Measures of predictor variable importance in multiple regression: An additional suggestion," Quality & Quantity: International Journal of Methodology, Springer, vol. 14(6), pages 787-792, December.
    37. Augustin, Patrick & Subrahmanyam, Marti G. & Tang, Dragon Yongjun & Wang, Sarah Qian, 2014. "Credit Default Swaps: A Survey," Foundations and Trends(R) in Finance, now publishers, vol. 9(1-2), pages 1-196, December.
    38. Jorion, Philippe & Zhang, Gaiyan, 2007. "Good and bad credit contagion: Evidence from credit default swaps," Journal of Financial Economics, Elsevier, vol. 84(3), pages 860-883, June.
    39. Sreedhar T. Bharath & Tyler Shumway, 2008. "Forecasting Default with the Merton Distance to Default Model," The Review of Financial Studies, Society for Financial Studies, vol. 21(3), pages 1339-1369, May.
    40. Pierre Collin-Dufresn & Robert S. Goldstein & J. Spencer Martin, 2001. "The Determinants of Credit Spread Changes," Journal of Finance, American Finance Association, vol. 56(6), pages 2177-2207, December.
    41. Brunnermeier, M. & Clerc, L. & Scheicher, M., 2013. "Assessing contagion risks in the CDS market," Financial Stability Review, Banque de France, issue 17, pages 123-134, April.
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    3. Sophie Béreau & Nicolas Debarsy & Cyrille Dossougoin & Jean-Yves Gnabo, 2022. "Contagion in the Banking Industry: a Robust-to-Endogeneity Analysis," Working Papers halshs-03513049, HAL.
    4. Martijn Boermans, 2022. "A literature review of securities holdings statistics research and a practitioner’s guide," Working Papers 757, DNB.

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    More about this item

    Keywords

    bank business model similarities; credit spread puzzle; dynamic network effects model.; information contagion; portfolio overlap measure;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • 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
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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