Total Risk is actually a combination of the asset's diversifiable and non-diversifiable risks. The same is measured by standard deviation and is expressed in %. The Coefficient of Variation is a ratio of the standard deviation of the asset to its return, thereby expressing the risk per unit of return.
Correlation is a parameter that measures the co-movement of two variables and is dependent on the variables covariance and individual standard deviations. Hence, it is expressed as a fraction of the product of the standard deviations of the two variables.
Therefore, the correlation varies between - 1 (for perfect opposite movement) and +1 (for perfect same direction movement) and measures the magnitude of the variables co-movement.
Hence, the correct option is (d)
Which of the following is a measurement of the co-movement between two variables that ranges between-1...
The co-variation between two variables is 2.7. The standard deviation of the first variable and second variable is 3.7 and 4.2 respectively. What is the correlation coefficient?
Which of the following statements is false? The magnitude of r ranges from -1 to +1. Covariance can be more than 1. The absolute value of correlation coefficient should not exceed 1.0 regardless of the scales of measurement. We do not know the direction of associations between two variables by calculating a covariance.
If the correlation coefficient between two variables is 0.5 and the standard deviation of the variables is 5 and 10, respectively, then the sample covariance is approximately ... a. 25 b. 50 c. 250 d. Impossible to determine with any level of accuracy.
The statement is false. Correlation coefficient ranges between O and 1.
Please confirm the answers 35 to 41 from the below sample papers 35, Sources of variation in measurement data include a Part variation. b. Measurement c. Operator variatiorn C. All of the above. 36. The variation in the average of measurements made by different appraisers using the same gage messuring a characteristic on one part is known as Reproducibility Repeatability c. GRR d. Measurement variation None of the above. e. 37. Using a target analogy for precision and bias, the...
Which of the following means that two or more independent variables are highly correlated with each other? Multiple Choice value Correlation Standard error Multicollinearity R-Squared < Prev 20 of 50 Next >
Which of the following means that two or more independent variables are highly correlated with each other? Multiple Choice value Correlation Standard error Multicollinearity R-Squared < Prev 20 of 50 Next >
Which of the following is the accepted measurement of stand-alone risk? a) Expected Value of Return b) Stand Deviation of Stock Returns c) Beta d) Correlation coefficient e) Stand deviation of market returns f) b. and e.
1. Which of the following is correct? A. In correlation analysis there are two variables and both are dependent B. I n correlation analysis there are two variables and both are independent C. I n regression analysis there are two variables and both are dependent D: In regression analysis there are two variables and both are independent 2. measures the strength of linear association between two variables. A. Regressor B. Regressand C. Correlation coefficient D. None 3. the independent variables....
Coefficient of Variation The coefficient of variation standardizes a variable's dispersion (standard deviation) relative to its mean. Imagine two variables, each with a standard deviation of 20. If Variable 1 has a mean of 100 and Variable 2 has a mean of 10, it is obvious that has more relative uncertainty. The coefficient of variation, the amount of risk per unit of the mean, is found by dividing the standard deviation by the mean, as follows: CV = Standard Deviation...