Mean-Risk Analysis with Risk Associated with Below-Target Returns

TL;DR: In this paper, the authors evaluated differences in yields and associated downside risk from using no-till and tillage practices across the United States and evaluated with respect to six crops and environmental factors including geographic location, annual precipitation, soil texture, and time since conversion from tillage to notill.

TL;DR: A conceptual framework, based on portfolio theory, that links levels of biodiversity and ecosystem services in the context of risk-adjusted performance is developed and it is suggested that increased plant species diversity has considerable insurance potential by providing higher levels ofrisk-adjusted yield of biomass.

TL;DR: In this paper, the authors studied the risk perceptions of individual investors by asking experimental questions to 2226 members of a consumer panel and analyzed their responses in order to find which risk measures they implicitly use.

TL;DR: In this article, the authors show how policy-relevant forecast scenarios can be constructed from recently proposed structural vector autoregressive (VAR) models of the global oil market and how changes in the probability weights attached to these scenarios affect the upside and downside risks embodied in the baseline real-time oil price forecast.

TL;DR: In this article, the problem of selecting optimal security portfolios by risk-averse investors who have the alternative of investing in risk-free securities with a positive return or borrowing at the same rate of interest and who can sell short if they wish is discussed.

TL;DR: In this article, a measure of risk aversion in the small, the risk premium or insurance premium for an arbitrary risk, and a natural concept of decreasing risk aversion are discussed and related to one another.

TL;DR: Preliminary evidence suggests that the relatively few parameters used by the model can lead to very nearly the same results obtained with much larger sets of relationships among securities, as well as the possibility of low-cost analysis.