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 ?
For instance, the R-squared values for Model 3 and for the testing data set become 0.322, 0.023, 0.581, 0.039, 0.367, and 0.1990 for Buildings 1 to 6, respectively.
Table 3 shows the R-squared values derived from the retrieval results using the three methods.
From the multivariate models, R-squared values were generated to characterize the independent-variable correlations (relationships) for preirradiation controls (RC0) and the 6.5 Gy radiation dose cohort (RC3).
Fourth, there were numerous low r-squared values which explained very little variation in the dependent variables.
Notice that the R-squared value for UVA radiation is 0.94, and for UVB radiation it is 1 which is a good fit of the line to the experimental data.
The R-squared values for du and We relationships were less than 0.64.
The r-squared value for mathematics reasoning is relatively low, while the r-squared value for Algebra I achievement is moderate, which is not unexpected due to the nature of the model.
Any candidate model which does not result in a fit parameter (adjusted R-squared value) of 0.64 or greater was eliminated from further consideration, reducing the number of candidate models from 82 to 60.
583.606 980.143 1212.763 Maximum 4777 8625 7802.500 Minimum 0 0 -9824.800 Table 2 Estimated coefficients for the total period 1994-2003 (805 observations) Intercept 1/BVE Pos_NI/BVE Neg_NI/BVE Coefficients 4.157 * -7.500 17.669 * 2.843 * t student 5.345 -0.245 4.655 2.726 p-value 0.000 0.806 0.000 0.007 RD/BVE ADVERT/BVE SALES_gr/BVE Gr_miss Coefficients 2.055 1.205 1.576 * -1.623 t student 0.642 0.988 2.174 -0.393 p-value 0.521 0.323 0.030 0.695 R-Squared value = 0.0037 *: denotes significance at the 5% level.
If, for example, a bond fund were judged against the S&P 500, the R-squared value would be very low.
on perceived usefulness, with adjusted R-squared value at .63 and