Arbeitspapier

Credit risk interconnectedness: What does the market really know?

We analyze the relation between market-based credit risk interconnectedness among banks during the crisis and the associated balance sheet linkages via funding and securities holdings. For identification, we use a proprietary dataset that has the funding positions of banks at the bank-to-bank level for 2006-13 in conjunction with investments of banks at the security level and the credit register from Germany. We find asymmetries both cross-sectionally and over time: when banks face difficulties to raise funding, the interbank lending affects market-based bank interconnectedness. Moreover, banks with investments in securities related to troubled classes have a higher credit risk interconnectedness. Overall, our results suggest that market-based measures of interdependence can serve well as risk monitoring tools in the absence of disaggregated high-frequency bank fundamental data.

ISBN
978-3-95729-244-5
Sprache
Englisch

Erschienen in
Series: Bundesbank Discussion Paper ; No. 09/2016

Klassifikation
Wirtschaft
Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
Forecasting Models; Simulation Methods
Financial Markets and the Macroeconomy
Financial Aspects of Economic Integration
Asset Pricing; Trading Volume; Bond Interest Rates
Information and Market Efficiency; Event Studies; Insider Trading
General Financial Markets: Government Policy and Regulation
Banks; Depository Institutions; Micro Finance Institutions; Mortgages
Thema
Credit Risk
Networks
CDS
Interbank Lending
Portfolio Distance

Ereignis
Geistige Schöpfung
(wer)
Abbassi, Puriya
Brownlees, Christian
Hans, Christina
Podlich, Natalia
Ereignis
Veröffentlichung
(wer)
Deutsche Bundesbank
(wo)
Frankfurt a. M.
(wann)
2016

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Abbassi, Puriya
  • Brownlees, Christian
  • Hans, Christina
  • Podlich, Natalia
  • Deutsche Bundesbank

Entstanden

  • 2016

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