Financial Network Systemic Risk Contributions
Abstract
We propose the realized systemic risk beta as a measure for financial companies’ contribution to systemic risk given network interdependence between firms’ tail risk exposures. Conditional on statistically pre-identified network spillover effects and market and balance sheet information, we define the realized systemic risk beta as the total time-varying marginal effect of a firm’s Value-at-risk (VaR) on the system’s VaR. Suitable statistical inference reveals a multitude of relevant risk spillover channels and determines companies’ systemic importance in the U.S. financial system. Our approach can be used to monitor companies’ systemic importance allowing for a transparent macroprudential regulation.Download Info
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Paper provided by Sonderforschungsbereich 649, Humboldt University, Berlin, Germany in its series SFB 649 Discussion Papers with number SFB649DP2012-053.Length: 53 pages
Date of creation: Aug 2012
Date of revision:
Handle: RePEc:hum:wpaper:sfb649dp2012-053
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Keywords: Systemic risk contribution; systemic risk network; Value at Risk; network topology; two-step quantile regression; time-varying parameters;Other versions of this item:
- Nikolaus Hautsch & Julia Schaumburg & Melanie Schienle, 2011. "Financial Network Systemic Risk Contributions," SFB 649 Discussion Papers SFB649DP2011-072, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- G01 - Financial Economics - - General - - - Financial Crises
- G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
- G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
- G38 - Financial Economics - - Corporate Finance and Governance - - - Government Policy and Regulation
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-09-09 (All new papers)
- NEP-BAN-2012-09-09 (Banking)
- NEP-NET-2012-09-09 (Network Economics)
- NEP-RMG-2012-09-09 (Risk Management)
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Raffaele Fiocco, 2011. "Competition and regulation in a differentiated good market," SFB 649 Discussion Papers SFB649DP2011-084, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Nikolaus Hautsch & Julia Schaumburg & Melanie Schienle, 2013. "Forecasting systemic impact in financial networks," SFB 649 Discussion Papers SFB649DP2013-008, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Shih-Kang Chao & Wolfgang Karl Härdle & Weining Wang, 2012. "Quantile Regression in Risk Calibration," SFB 649 Discussion Papers SFB649DP2012-006, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Nikolaus Hautsch & Julia Schaumburg & Melanie Schienle, 2012.
"Financial Network Systemic Risk Contributions,"
SFB 649 Discussion Papers
SFB649DP2012-053, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Nikolaus Hautsch & Julia Schaumburg & Melanie Schienle, 2011. "Financial Network Systemic Risk Contributions," SFB 649 Discussion Papers SFB649DP2011-072, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Ulrich Horst & Michael Kupper & Andrea Macrina & Christoph Mainberger, 2011. "Continuous Equilibrium under Base Preferences and Attainable Initial Endowments," SFB 649 Discussion Papers SFB649DP2011-082, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Patrick Cheridito & Ulrich Horst & Michael Kupper & Traian A. Pirvu, 2011. "Equilibrium Pricing in Incomplete Markets under Translation Invariant Preferences," SFB 649 Discussion Papers SFB649DP2011-083, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
- Alena Myšičková & Song Song & Piotr Majer & Peter N.C. Mohr & Hauke R. Heekeren & Wolfgang K. Härdle, 2011. "Risk Patterns and Correlated Brain Activities. Multidimensional statistical analysis of fMRI data with application to risk patterns," SFB 649 Discussion Papers SFB649DP2011-085, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
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