Arbeitspapier
A network model of financial system resilience
We examine the role of macroeconomic fluctuations, asset market liquidity, and network structure in determining contagion and aggregate losses in a financial system. Systemic instability is explored in a financial network comprising three distinct, but interconnected, sets of agents - domestic banks, international financial institutions, and firms. Calibrating the model to advanced country banking sector data, we obtain sensible aggregate loss distributions which are bimodal in nature. We demonstrate how systemic crises may occur and analyze how our results are influenced by firesale externalities and the feedback effects from curtailed lending in the macroeconomy. We also illustrate the resilience of our model financial system to stress scenarios with sharply rising corporate default rates and falling asset prices.
- Sprache
-
Englisch
- Erschienen in
-
Series: SFB 649 Discussion Paper ; No. 2011-051
- Klassifikation
-
Wirtschaft
Computational Techniques; Simulation Modeling
Financial Crises
Financial Forecasting and Simulation
Banks; Depository Institutions; Micro Finance Institutions; Mortgages
- Thema
-
contagion
financial crises
network models
systemic risk
Finanzmarktkrise
Ansteckungseffekt
Bankensystem
Unternehmensnetzwerk
Konjunktur
Systemrisiko
Theorie
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Anand, Kartik
Gai, Prasanna
Kapadia, Sujit
Brennan, Simon
Willison, Matthew
- Ereignis
-
Veröffentlichung
- (wer)
-
Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk
- (wo)
-
Berlin
- (wann)
-
2011
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Anand, Kartik
- Gai, Prasanna
- Kapadia, Sujit
- Brennan, Simon
- Willison, Matthew
- Humboldt University of Berlin, Collaborative Research Center 649 - Economic Risk
Entstanden
- 2011