utility theory, that risk aversion predicts aversion to more variant potential loss outcomes. Based on our results we suggest …Natural disaster risk is predicted to increase worldwide because of climate change. Insurance may be purchased to …

allowing a risk averse (risk prone) decision maker to rebalance his financial portfolio in the course of determination of these … traded in financial markets. We show that allowing portfolio rebalancing in a distributive bargaining setting with risk …

probate-error risk between false-positive outcomes and false-negative outcomes. When the court validates an inauthentic will … to identify the problem with the conventional law of will-execution, which is that it heavily allocates risk in favor of … objective of will-execution reform, which is to reallocate risk more evenly between false-positive outcomes and false …

investment returns and risk, provide an attractive and effective alternative to traditional guaranteed life annuity products …. While longevity risk sharing in pooled annuities has received recent attention, incorporating investment risk beyond fixed …, while reducing pooled annuity income volatility and downside risk, as well as an investment strategy that reduces exposure …

collection threshold in operational risk modeling. There are several approaches under consideration --- the empirical approach … family. Our primary goal is to quantify the effect of model uncertainty on risk measurements. This is accomplished by … evaluating the probability of each approach producing conservative capital allocations based on the value-at-risk measure. These …

We give a complete algorithm and source code for constructing what we refer to as heterotic risk models (for equities …-doll risk model construction. This appears to prove a powerful approach for constructing out-of-sample stable short …-lookback risk models. Thus, for intraday mean-reversion alphas based on overnight returns, Sharpe ratio optimization using our …

One of the most significant economic developments of the past decade has been the development of innovative risk … risk …

Identifying the relevant risk factors and their interdependence is central to understanding the risk exposures and … vulnerabilities of a financial institution. It is needed for risk management, solvency assessment and stress testing. We assemble a … unique dataset of risk factors relevant for insurers which are different than for banks, although they share exposure to …