Forecasting systemic impact in financial networks |
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Authors: | Nikolaus Hautsch Julia Schaumburg Melanie Schienle |
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Institution: | 1. University of Vienna, Department of Statistics and Operations Research, Oskar-Morgenstern-Platz 1, A-1090, Vienna, Austria;2. Center of Financial Studies, Frankfurt, Germany;3. VU University Amsterdam, Department of Finance, Department of Econometrics, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands;4. Tinbergen Institute, The Netherlands;5. Leibniz University Hannover, School of Economics and Management, Koenigsworther Platz 1, 30167 Hannover, Germany |
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Abstract: | We propose a methodology for forecasting the systemic impact of financial institutions in interconnected systems. Utilizing a five-year sample including the 2008/9 financial crisis, we demonstrate how the approach can be used for the timely systemic risk monitoring of large European banks and insurance companies. We predict firms’ systemic relevance as the marginal impact of individual downside risks on systemic distress. So-called systemic risk betas account for a company’s position within the network of financial interdependencies, in addition to its balance sheet characteristics and its exposure to general market conditions. Relying only on publicly available daily market data, we determine time-varying systemic risk networks, and forecast the systemic relevance on a quarterly basis. Our empirical findings reveal time-varying risk channels and firms’ specific roles as risk transmitters and/or risk recipients. |
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Keywords: | Systemic risk network Prediction Tail risk Systemic relevance Tail risk transmission |
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