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multiple regression |
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Definition of multiple regressionmultiple regressiona statistical technique that uses two or Multiple regressionThe estimated relationship between a dependent variable and more than one explanatory variable.
Related Terms:First-pass regressionA time series regression to estimate the betas of securities portfolios. Forward looking multipleA truncated expression for a P/E ratio that is based on forward (expected) Futures contract multipleA constant, set by an exchange, which when multiplied by the futures price gives least squares regression analysisa statistical technique that investigates the association between dependent and independent variables; it determines the line of "best fit" for a set of observations by minimizing the sum of the squares Linear regressionA statistical technique for fitting a straight line to a set of data points. Multiple Deposit CreationThe process whereby the money multiplier operates. Multiple-discriminant analysis (MDA)Statistical technique for distinguishing between two groups on the Multiple-issuer poolsUnder the GNMA-II program, pools formed through the aggregation of individual Multiple LivesTwo or more death benefits based on one definition with different insureds. Multiple rates of returnMore than one rate of return from the same project that make the net present value MultiplesAnother name for price/earnings ratios. Options contract multipleA constant, set at $100, which when multiplied by the cash index value gives the P/E ratio (PE ratio / multiple)Assume XYZ Co. sells for $25.50 per share and has earned $2.55 per share this year; $25. 50 = 10 price-earnings (P/E) multiple (ratio)Ratio of stock price to earnings per share. Regression analysisA statistical technique that can be used to estimate relationships between variables. Regression analysisStatistical analysis techniques that quantify the Regression equationAn equation that describes the average relationship between a dependent variable and a regression lineany line that goes through the means (or averages) of the set of observations for an independent variable and its dependent variables; mathematically, there is a line of “best fit,” which is the least squares regression line Regression toward the meanThe tendency for subsequent observations of a random variable to be closer to its mean. Second pass regressionA cross-sectional regression of portfolio returns on betas. The estimated slope is the Simple linear regressionA regression analysis between only two variables, one dependent and the other explanatory. simple regressiona statistical technique that uses only one independent variable to predict a dependent variable
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