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The solvency ratio of an insurance company is the size of its capital relative to all risks it has taken. The solvency ratio is most often defined as: The solvency ratio is most often defined as: n e t . a s s e t s ÷ n e t . p r e m i u m . w r i t t e n {\displaystyle net.assets\div net.premium.written}
Value added is a term in financial economics for calculating the difference between market value of a product or service, and the sum value of its constituents. It is relatively expressed to the supply-demand curve for specific units of sale. [1]
The golden ratio φ and its negative reciprocal −φ −1 are the two roots of the quadratic polynomial x 2 − x − 1. The golden ratio's negative −φ and reciprocal φ −1 are the two roots of the quadratic polynomial x 2 + x − 1. The golden ratio is also an algebraic number and even an algebraic integer.
The debt ratio or debt to assets ratio is a financial ratio which indicates the percentage of a company's assets which are funded by debt. [1] It is measured as the ratio of total debt to total assets, which is also equal to the ratio of total liabilities and total assets: Debt ratio = Total Debts / Total Assets = Total Liabilities ...
Typically the CEA is expressed in terms of a ratio where the denominator is a gain in health from a measure (years of life, premature births averted, sight-years gained) and the numerator is the cost associated with the health gain. [2] The most commonly used outcome measure is quality-adjusted life years (QALY). [1]
The incremental cost-effectiveness ratio (ICER) is the ratio between the difference in costs and the difference in benefits of two interventions. The ICER may be stated as (C1 – C0)/(E1 – E0) in a simple example where C0 and E0 represent the cost and gain, respectively, from taking no health intervention action.
Capital adequacy ratio is the ratio which determines the bank's capacity to meet the time liabilities and other risks such as credit risk, operational risk etc. In the most simple formulation, a bank's capital is the "cushion" for potential losses, and protects the bank's depositors and other lenders.
The ratio estimator is a statistical estimator for the ratio of means of two random variables. Ratio estimates are biased and corrections must be made when they are used in experimental or survey work. The ratio estimates are asymmetrical and symmetrical tests such as the t test should not be used to generate confidence intervals.