Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
998864 | Journal of Financial Stability | 2016 | 17 Pages |
•Examine three measures of systemic risk exposure - SES, CoVaR, and Granger causality.•Modify CoVaR to allow for forecasting of financial distress during financial crises.•The adapted CoVaR measure outperforms the other metrics in a horse race setting.•Determinants of systemic risk are size, securitization, and foreign asset trading.
I compare the performance of three measures of institution-level systemic risk exposure — Exposure CoVaR (Adrian and Brunnermeier, 2016), systemic expected shortfall (Acharya et al., 2016), and Granger causality (Billio et al., 2012). I modify Exposure CoVaR to allow for forecasting, and estimate the ability of each measure to forecast the performance of financial institutions during systemic crisis periods in 1998 (LTCM) and 2008 (Lehman Brothers). I find that Exposure CoVaR forecasts the within-crisis performance of financial institutions, and provides useful forecasts of future systemic risk exposures. Systemic expected shortfall and Granger causality do not forecast the performance of financial institutions reliably during crises. I also find, using cross-sectional regressions, that foreign equity exposure and securitization income determine systemic risk exposure during the 1998 and 2008 crises, respectively; financial institution size determines systemic risk exposure during both crisis periods; and executive compensation does not determine systemic risk exposure.