FRM Financial Risk Meter
Advances in Econometrics, Volume 42, The Econometrics of Networks
35 Pages Posted: 5 Aug 2019 Last revised: 7 Apr 2020
Date Written: July 30, 2019
A systemic risk measure is proposed accounting for links and mutual dependencies between financial institutions utilising tail event information. FRM (Financial Risk Meter) is based on Lasso quantile regression designed to capture tail event co-movements. The FRM focus lies on understanding active set data characteristics and the presentation of interdependencies in a network topology. Two FRM indices are presented, namely, FRM@Americas and FRM@Europe. The FRM indices detect systemic risk at selected areas and identifies risk factors. In practice, FRM is applied to the return time series of selected financial institutions and macroeconomic risk factors. We identify companies exhibiting extreme "co-stress", as well as "activators" of stress. With the SRM@EuroArea, we extend to the government bond asset class, and to credit default swaps with FRM@iTraxx. FRM is a good predictor for recession probabilities, constituting the FRM-implied recession probabilities. Thereby, FRM indicates tail event behaviour in a network of financial risk factors.
Keywords: Systemic Risk, Quantile Regression, Lasso, Financial Markets, Risk Management, Network Dynamics, Recession
JEL Classification: C21, C51, G01, G18, G32, G38
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