Definition of coefficient of variation

coefficient of variation

a measure of risk used when the standard deviations for multiple projects are approximately
the same but the expected values are significantly different

Coefficient of determination

A measure of the goodness of fit of the relationship between the dependent and
independent variables in a regression analysis; for instance, the percentage of variation in the return of an
asset explained by the market portfolio return.

Correlation coefficient

A standardized statistical measure of the dependence of two random variables,
defined as the covariance divided by the standard deviations of two variables.

Information Coefficient (IC)

The correlation between predicted and actual stock returns, sometimes used to
measure the value of a financial analyst. An IC of 1.0 indicates a perfect linear relationship between predicted
and actual returns, while an IC of 0.0 indicates no linear relationship.

Variation margin

An additional required deposit to bring an investor's equity account up to the initial margin
level when the balance falls below the maintenance margin requirement.

Correlation Coefficient

A measure of the tendency of two variables to change values
together

coefficient of correlation

a measure of dispersion that indicates the degree of relative association existing between two variables

coefficient of determination

a measure of dispersion that
indicates the “goodness of fit” of the actual observations
to the least squares regression line; indicates what proportion
of the total variation in y is explained by the regression model

input-output coefficient

a number (prefaced as a multiplier
to an unknown variable) that indicates the rate at which each
decision variable uses up (or depletes) the scarce resource

Correlation coefficient

A statistic in which the covariance is scaled to a
value between minus one (perfect negative correlation) and plus one (perfect
positive correlation).

Beta coefficient

A measurement of the extent to which the returns on a given stock move with stock market.

Ordinary least squares (OLS)

regression analysis a statistical technique that minimizes the sum of the squared deviations between a dependent variable and one or more independent variables and provides the user
with a y-intercept and x-coefficients, as well as feedback such as R2 (explained
variation/total variation) t-statistics, p-values, etc.

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