In this paper we propose a new measure for systemic risk: the Financial Risk Meter (FRM). This measure is based on the … parameters over the 100 largest US publicly traded financial institutions. We demonstrate the suitability of this risk measure by … comparing the proposed FRM to other measures for systemic risk, such as VIX, SRISK and Google Trends. We find that mutual …

We propose the realized systemic risk beta as a measure for financial companies' contribution to systemic risk given … network interdependence between firms' tail risk exposures. Conditional on statistically pre-identified network spillover … effects and market as well as balance sheet information, we define the realized systemic risk beta as the total time …

of risk, both being associated to the stresses supported by the socio-economic system. We propose instruments for … resilience build-up and management based on a novel classification of risk and resilience management regimes corresponding to the …

, heavy tails, and nonellipticity. It introduces a so-called risk fear portfolio strategy which combines portfolio … optimization with active risk monitoring. The former selects optimal portfolio weights. The later, independently, initiates market … leads to superior multivariate density and Value-at-Risk forecasting, and better portfolio performance. The proposed risk …

This paper deals with stress tests for credit risk and shows how exploiting the discretion when setting up and … probabilities are less exposed to model and estimation risk. In addition, the risk horizon over which the stress default … extensive robustness checks for model-based credit risk stress tests. …

risk and to detect macrofinancial problems has become a central concern. In the United States, this concern has been … Crises ; Macroprudential Risk ; Debt-Deflation Process ; Ponzi Finance …

risk measures for portfolios with infrequently traded securities have not been explored in the literature. We propose a … methodology to calculate market risk measures based on the Kalman filter which can be used on incomplete datasets. We implement … applied to other markets with thinly traded securities. Our methodology provides reliable market risk measures in portfolios …

-specific extreme market risks. First, we define tail market risk that captures dependence between extremely low market as well as asset … returns. Second, extreme market volatility risk is characterized by dependence between extremely high increments of market … that both frequency-specific tail market risk and extreme volatility risks are significantly priced and our five …

The present article deals with intra-horizon risk in models with jumps. Our general understanding of intra-horizon risk … quantifying market risk by strictly relying on point-in-time measures cannot be deemed a satisfactory approach in general. Instead …, we argue that complementing this approach by studying measures of risk that capture the magnitude of losses potentially …