Contemporary financial stochastic programs typically involve a trade-offbetween return and (downside)-risk. Using …. We find that the model can be tuned easily using Value-at-Risk (VaR) related benchmarks. In the multi-stage setting, we … formally prove that the optimal solution consists of a sequence of myopic (single-stage) decisions with risk …

The computation of various risk metrics is essential to the quantitative risk management of variable annuity guaranteed … produce closed-form approximation of the risk measures for variable annuity guaranteed benefits. The techniques are further … developed in this paper to address in a systematic way risk measures for death benefits with the consideration of dynamic …

This paper presents a new axiomatic characterization of risk measures that are additive for independent random … variables. In contrast to previous work, we include an axiom that guarantees monotonicity of the risk measure. Furthermore, the …. The risk measure characterized can be regarded as a mixed exponential premium. …

the insurance sector. The downside risk of insurers is explicitly modelled by common and idiosyncratic risk factors. Since … reinsurance is important for the capacity of insurers, we measure risk dependence among European insurers and reinsurers. The … results point to a relatively low insurance sector wide risk. Dependence among insurers is higher than among reinsurers. …

The paper studies risk mitigation associated with capital regulation, in a context when banks may choose tail risk … assets. We show that this undermines the traditional result that higher capital reduces excess risk-taking driven by limited … liability. When capital raising is costly, poorly capitalized banks may limit risk to avoid breaching the minimal capital ratio …

We present an accurate and efficient method for Bayesian forecasting of two financial risk measures, Value-at-Risk and …-year-ahead. The latter has recently attracted considerable attention due to the different properties of short term risk and long run … risk. The key insight behind our importance sampling based approach is the sequential construction of marginal and …