A new class of risk measures called cash sub-additive risk measures is introduced to assess the risk of future … sub-additive risk measures can model stochastic and/or ambiguous interest rates or defaultable contingent claims …. Practical examples are presented and in such contexts cash additive risk measures cannot be used. Several representations of the …

Monetary risk measures classify a financial position by the minimal amount of external capital that must be added to … the position to make it acceptable.We propose a new concept: intrinsic risk measures. The definition via external capital … is avoided and only internal resources appear. An intrinsic risk measure is defined by the smallest percentage of the …

We study risk sharing games with quantile-based risk measures and heterogeneous beliefs, motivated by the use of … equivalent to equilibrium allocations, and the equilibrium price is unique. For Value-at-Risk (VaR) agents or mixed VaR and ES … agents, a competitive equilibrium does not exist. Our results generalize existing ones on risk sharing games with risk …

crises deduced from these backtests. Our indicator quantifies how much is the measurement error issued by a systemic risk …This paper proposes an original approach for backtesting systemic risk measures. This backtesting approach makes it … possible to assess the systemic risk measure forecasts used to identify the financial institutions that contribute the most to …

We introduce a class of quantile-based risk measures that generalize Value at Risk (VaR) and, likewise Expected … probability of occurrence. The corresponding risk measure, called Loss VaR (LVaR), determines the minimal capital injection that … and applications to capital adequacy, portfolio risk management and catastrophic risk are presented …

The severity of extreme weather events is increasing due to climate change, giving rise to physical climate risk …. However, physical climate risk is not only driven by the severity of individual hazards, but also by the interdependence of …/Snow, Landslide, Tornado, and Wildfire. We empirically estimate the tail risk of multi-hazard portfolios for the limiting cases of …

, 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 …

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 …