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Increasing or decreasing one results in changes to one or both of the other two. For example, a policy that increases access to health services would lower quality of health care and/or increase cost. The desired state of the triangle, high access and quality with low cost represents value in a health care system. [3]
The 5% Value at Risk of a hypothetical profit-and-loss probability density function. Value at risk (VaR) is a measure of the risk of loss of investment/capital. It estimates how much a set of investments might lose (with a given probability), given normal market conditions, in a set time period such as a day.
Risk communication is particularly important in disaster preparedness, [68] public health, [69] and preparation for major global catastrophic risk. [68] For example, the impacts of climate change and climate risk effect every part of society, so communicating that risk is an important climate communication practice, in order for societies to ...
Value-based health care (VBHC) is a framework for restructuring health care systems with the overarching goal of value for patients, with value defined as health outcomes per unit of costs. [1] The concept was introduced in 2006 by Michael Porter and Elizabeth Olmsted Teisberg , though implementation efforts on aspects of value-based care began ...
Value-driven design (VDD) is a systems engineering strategy based on microeconomics which enables multidisciplinary design optimization. Value-driven design is being developed by the American Institute of Aeronautics and Astronautics , through a program committee of government, industry and academic representatives. [ 1 ]
Many risk measures have hitherto been proposed, each having certain characteristics. The entropic value at risk (EVaR) is a coherent risk measure introduced by Ahmadi-Javid, [1] [2] which is an upper bound for the value at risk (VaR) and the conditional value at risk (CVaR), obtained from the Chernoff inequality.
Expected shortfall is considered a more useful risk measure than VaR because it is a coherent spectral measure of financial portfolio risk. It is calculated for a given quantile -level q {\displaystyle q} and is defined to be the mean loss of portfolio value given that a loss is occurring at or below the q {\displaystyle q} -quantile.
However, in this case the value at risk becomes equivalent to a mean-variance approach where the risk of a portfolio is measured by the variance of the portfolio's return. The Wang transform function (distortion function) for the Value at Risk is g ( x ) = 1 x ≥ 1 − α {\displaystyle g(x)=\mathbf {1} _{x\geq 1-\alpha }} .