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Statistical measure of the degree to which the movements of two variables (stock/option/convertible prices or returns) are related. See: Correlation coefficient.


The relationship between two variables during a period of time, especially one that shows a close match between the variables' movements. For example, all utility stocks tend to have a high degree of correlation because their share prices are influenced by the same forces. Conversely, gold stock price movements are not closely correlated with utility stock price movements because the two are influenced by very different factors. The concept of correlation is frequently used in portfolio analysis. See also serial correlation.


In investment terms, correlation is the extent to which the values of different types of investments move in tandem with one another in response to changing economic and market conditions.

Correlation is measured on a scale of - 1 to +1. Investments with a correlation of + 0.5 or more tend to rise and fall in value at the same time. Investments with a negative correlation of - 0.5 to - 1 are more likely to gain or lose value in opposing cycles.


a statistical term that describes the degree of association between two variables. When two variables tend to change together, then they are said to be correlated, and the extent to which they are correlated is measured by means of the CORRELATION COEFFICIENT.


A former appraisal term, replaced by reconciliation.
References in periodicals archive ?
0 to perform a social network analysis of the correlation matrix.
Table 2--Pearson's correlation matrix between the variables mean fruit length per plant (MFL, in cm), mean fruit width per plant (MFWd, in cm), mean fruit weight per plant (MFW, in g), number of bunches per plant (NBP), number of fruits per bunch (NFB), number of fruits per plant (NFP), and total fruit weight per plant (TFW, in g) observed in two uniformity trails with cherry tomato.
Since it is based on the standardized residuals of the univariate model, the conditional correlation matrix is nothing but the matrix of conditional variance-covariance of the error terms.
Consequently, the relative importance of SRs, W, is a [m x 1] column vector, and the relationship matrix R and correlation matrix P are [m x n] and [n x n] matrices, respectively.
In environment where eigenvalues expansion of correlation matrix is high, the algorithm expands with low convergence speed.
A complete correlation matrix (including sample sizes, means, and standard deviations) is necessary as input for others who may wish to reproduce (and confirm) a study's results, as well as perform secondary analyses (Zientek & Thompson, 2009).
The method of the structural analysis based only on the interclass correlation matrix and was estimated by the equation:
For screening purpose and to avoid multicollinearity problem in regression model development correlation matrix was constructed.
It includes Descriptive Statistics and Correlation Matrix for the variables.
839 Table 3: Spearmen correlation matrix between knowledge management role and empower staffs Variable name Empower knowledge management Empower 1.
Table 5 shows the correlation matrix of the age, BMI and blood pressure.

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