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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 ?
In addition, all Pearson's correlation coefficients among the six traits were significant by the t test (P [less than or equal to] 0.
All Pearson's correlation coefficients show strong relationship between contact time and sorption efficiency (values of r are equal to ~0.
5: Pearson's correlation coefficient of observed types of social protection expenditures and HDI index for individual countries Family Employment Old-age policy policy pension policy Australia 0.
Outliers and study population selection can substantially affect the absolute value of Pearson's correlation coefficient
According to Table 1, the Pearson's correlation coefficient is equal to .
On the other hand, the analysis considering Pearson's correlation coefficient r and standard error of the estimate SEE of this equation, shown in Table 3, indicates that, for all rolling stands, the predicting performance of the equation virtually had no improvement with the incorporation of the work roll peripherical speed.
Correlation between the variables was carried out by using Pearson's correlation coefficient 'r'.
Pearson's correlation coefficient was used to analyze the agreement for the continuous measures between the two collection sites (Bland & Altman, 1986).
Pearson's correlation coefficient among 7 growth-related traits of small abalone (n = 241).
The correlation coefficients among indices were analyzed by Pearson's correlation coefficient, and significance was assumed at p<0.

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