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Covariance |
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Covariance A statistical measure of the degree to which random variables move together. A positive covariance implies that one variable is above (below) its mean value when the other variable is above (below) its mean value.
Covariance What Does Covariance Mean? A measure of the degree by which the returns on two risky assets move in tandem. A positive covariance means that asset returns move together; a negative covariance means the returns move inversely. One method of calculating covariance is by looking at return surprises (deviations from expected return) in each scenario. Another method is to multiply the correlation between the two variables by the standard deviation of each variable. Investopedia explains Covariance Financial assets that have a high covariance with each other will not provide very much diversification. For example, if stock A's return is high whenever stock B's return is high or low when B's is also low, these stocks are said to have a positive covariance. An investor seeking diversified earnings should pick financial assets that have low covariance to each other. Related Terms: How to thank TFD for its existence? Tell a friend about us, add a link to this page, add the site to iGoogle, or visit webmaster's page for free fun content. |
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| The fit measures relate to how well the parameter estimates are able to match the covariances. This model has 16(16+1)/2=136 variances and covariances and (5 [THETA][epsilon], 11 [THETA][delta], 4 [gamma], 1 [zeta], 3 [PHI], 4 [lambda] Y, and 11 [lambda][chi]), 39 parameters to be estimated. Extended tables of means, variances, and covariances of all order statistics for sample sizes up to 30 have been provided by Balakrishnan and Chan [45] and Balakrishnan and Chan [46]. |
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