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Systemic Risk and Asymmetric Responses in the Financial Industry, Germán López-Espinosa, Antonio Rubia, Laura Valderrama, Antonio Moreno

Abstract
To date, an operational measure of systemic risk capturing non-linear tail comovement between system-wide and individual bank returns has not yet been developed. This paper proposes an extension of the so-called CoVaR measure that captures the asymmetric response of the banking system to positive and negative shocks to the market-valued balance sheets of individual banks. For the median of our sample of U.S. banks, the relative impact on the system of a fall in individual market value is sevenfold that of an increase. Moreover, the downward bias in systemic risk from ignoring this asymmetric pattern increases with bank size. The conditional tail comovement between the banking system and a top decile bank which is losing market value is 5.4 larger than the unconditional tail comovement versus only 2.2 for banks in the bottom decile. The asymmetric model also produces much better estimates and fitting, and thus improves the capacity to monitor systemic risk. Our results suggest that ignoring asymmetries in tail interdependence may lead to a severe underestimation of systemic risk in a downward market
Table Of Contents
Cover; Contents; I. Introduction; II. Modeling Systemic Risk: CoVaR; III. Asymmetric CoVaR; A. Estimation and Inference; IV. Data; V. Downside Comovement in the U.S. Banking Industry; A. Main Empirical Results; B. Discussion; C. Robustness Checks; Bank holding companies and commercial banks; Nonlinear models; Returns of different representative portfolios and other considerations; VI. Concluding Remarks; Figures; 1. Comparison of median estimates from the symmetric and asymmetric CoVaR models; 2. Cross-sectional median estimates of the decile-based coefficients; Tables
Language
eng
Literary Form
non fiction
Note
Description based upon print version of record
Physical Description
1 online resource (39 p.)
Specific Material Designation
remote
Form Of Item
online
Isbn
9781475517569

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