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The efficiency ratio indicates the expenses as a percentage of revenue (expenses / revenue), with a few variations – it is essentially how much a corporation or individual spends to make a dollar; entities are supposed to attempt minimizing efficiency ratios (reducing expenses and increasing earnings). The concept typically applies to banks.
[2] Liquidity ratios measure the availability of cash to pay debt. [3] Efficiency (activity) ratios measure how quickly a firm converts non-cash assets to cash assets. [4] Debt ratios measure the firm's ability to repay long-term debt. [5] Market ratios measure investor response to owning a company's stock and also the cost of issuing stock. [6]
The incremental cost-effectiveness ratio (ICER) is a statistic used in cost-effectiveness analysis to summarise the cost-effectiveness of a health care intervention. It is defined by the difference in cost between two possible interventions, divided by the difference in their effect.
An explanation of the difference between efficiency and (total factor) productivity is found in "An Introduction to Efficiency and Productivity Analysis". [1] To complicate the meaning, operational excellence , which is about continuous improvement, not limited to efficiency, is occasionally used when meaning operational efficiency.
In statistics, efficiency is a measure of quality of an estimator, of an experimental design, [1] or of a hypothesis testing procedure. [2] Essentially, a more efficient estimator needs fewer input data or observations than a less efficient one to achieve the Cramér–Rao bound .
2.3 High leverage industries. 3 ROA and ... submitted an internal efficiency report to his superiors in 1912 that contained the formula. [2] ... ratio is a measure of ...
Ordinary least squares regression of Okun's law.Since the regression line does not miss any of the points by very much, the R 2 of the regression is relatively high.. In statistics, the coefficient of determination, denoted R 2 or r 2 and pronounced "R squared", is the proportion of the variation in the dependent variable that is predictable from the independent variable(s).
The response to losses is stronger than the response to corresponding gains" is Kahneman's definition of loss aversion. After the first 1979 proposal in the prospect theory framework paper, Tversky and Kahneman used loss aversion for a paper in 1991 about a consumer choice theory that incorporates reference dependence , loss aversion, and ...