# correlation

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## Correlation

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

## correlation

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.

## 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.

## correlation

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.

## correlation

A former appraisal term, replaced by reconciliation.
References in periodicals archive ?
Correlation and path coefficient analysis are logical steps towards the understanding of relationship of plant traits.
Correlation focuses on the association of changes in two outcomes, outcomes that often measure quite different constructs such as cancer and depression.
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Our modest ambition is to conduct a simple correlation analysis to find out whether, during the same time interval, the securities markets of China, on the one hand, and the United States and Canada, on the other, behave in similar ways.
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As you can see from the chart, pair-wise correlation has historically hovered between 10% and 40%.
Suppose that each student achieves exactly half of the mark in their English exam that they scored in their maths paper: in this case the correlation between their maths and English scores is perfect and the Pearson coefficient derived from comparing the two sets of results is 1:
Third: there is significant meaning between 2 variables according to couple T test Fourth: Pierson test showed that there is positive correlation between 2 variables
A scatter plot is essential to interpret correlation coefficient
Therefore, this paper point out some problems existing in current study which methods on the correlation of flow metrics.
For example, Hurlbut, Robbins, and Hoke (2011) found a moderate positive correlation between spiritual well-being and overall health promoting lifestyle (r = 0.
With regards to the relationship between time and attempted calls, it is not reasonable to correlate a nominal data with an interval data therefore this test could not be conducted with regression or correlation analysis.

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