
We propose to pool alternative systemic risk rankings for financial institutions using the method of principal components. The resulting overall ranking is less affected by estimation uncertainty and model risk. We apply our methodology to disentangle the common signal and the idiosyncratic components from a selection of key systemic risk rankings that have been proposed recently. We use a sample of 113 listed financial sector firms in the European Union over the period 2002–2013. The implied ranking from the principal components is less volatile than most individual risk rankings and leads to less turnover among the top ranked institutions. We also find that price-based rankings and fundamentals-based rankings deviated substantially and for a prolonged time in the period leading up to the financial crisis. We test the adequacy of our newly pooled systemic risk ranking by relating it to credit default swap premia.
G28, banking supervision, ddc:330, SDG 10 - Reduced Inequalities, Systemic risk contribution, Systemic risk contribution; Risk rankings; Forecast combination; Financial regulation; Banking supervision, E, SDG 17 - Partnerships for the Goals, Banking supervision, forecast combination, risk rankings, Risk rankings, Forecast combination, systemic risk contribution, G01, financial regulation, Financial regulation, systemic risk contribution, risk rankings, forecast combination, financial regulation, banking supervision, jel: jel:G01, jel: jel:G28
G28, banking supervision, ddc:330, SDG 10 - Reduced Inequalities, Systemic risk contribution, Systemic risk contribution; Risk rankings; Forecast combination; Financial regulation; Banking supervision, E, SDG 17 - Partnerships for the Goals, Banking supervision, forecast combination, risk rankings, Risk rankings, Forecast combination, systemic risk contribution, G01, financial regulation, Financial regulation, systemic risk contribution, risk rankings, forecast combination, financial regulation, banking supervision, jel: jel:G01, jel: jel:G28
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