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

Author

Listed:
  • Dieter Wang
  • Iman van Lelyveld
  • Julia Schaumburg

Abstract

This paper revisits the credit spread puzzle in bank CDS spreads from the perspective of information contagion. The puzzle, rst detected in corporate bonds, consists of two stylized facts: Structural determinants of credit risk not only have low explanatory power but also fail to capture a systematic common factor in the residuals (Collin-Dufresne et al., 2001). For the case of banks, we hypothesize that the puzzle exists because of omitted network effects. We therefore extend the structural models to account for information spillovers based on bank business model similarities. To capture this channel, we propose and construct a new intuitive measure for portfolio overlap using the complete asset holdings of the largest banks in the Eurozone. Incorporating the network information into the structural model for bank credit spreads increases explanatory power and explains the systemic common factor in the residuals.

Suggested Citation

  • Dieter Wang & Iman van Lelyveld & Julia Schaumburg, 2018. "Do information contagion and business model similarities explain bank credit risk commonalities?," DNB Working Papers 619, Netherlands Central Bank, Research Department.
  • Handle: RePEc:dnb:dnbwpp:619
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    More about this item

    Keywords

    Information contagion; credit spread puzzle; bank business model similarities; portfolio overlap measure; dynamic network effects model;

    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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