You have been assigned the task of comparing the investment performance of five different pension fund managers. After gathering 60 months of excess returns (returns in excess of the monthly risk-free rate) on each fund as well as the monthly excess returns on the entire stock market, you perform the regressions of the form: (Rfund - RFR)t = a + B(Rmkt - RFR)t + et You have prepared the following summary of the data, with the standard errors for each of the coefficients listed in parentheses. Regression Data (Rfund - RFR) Portfolio a B R^2 Mean o ABC 0.192 1.048 94.1% 1.022% 1.193% (0.11) (0.10) DEF -0.053 0.662 91.6% 0.473% 0.764% (0.19) (0.09) GHI 0.463 0.594 68.6% 0.935% 0.793% (0.19) (0.07) JKL 0.355 0.757 64.1% 0.955% 1.044% (0.22) (0.08) (MNO) 0.296 0.785 94.8% 0.890% 0.890% (0.14) (0.12) a. Which fund had the highest degree of diversification over the sample period? How is diversification measured in this statistical framework? b. Rank these funds' performance according to the Sharpe, Treynor, and Jensen measures. c. Since you know that according to the CAPM the intercept of these regressions (alpha) should be zero, this coefficient can be used as a measure of the value added provided by the investment manager. Which funds have statistically outperformed and underperformed the market using a two-sided 95% confidence interval? (Note: The relevant t-statistic using 60 observations is 2.00.)
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
You have been assigned the task of comparing the investment performance of five different pension fund managers. After gathering 60 months of excess returns (returns in excess of the monthly risk-free rate) on each fund as well as the monthly excess returns on the entire stock market, you perform the regressions of the form: |
(Rfund - RFR)t = a + B(Rmkt - RFR)t + et |
You have prepared the following summary of the data, with the standard errors for each of the coefficients listed in parentheses. |
Regression Data | (Rfund - RFR) | ||||
Portfolio | a | B | R^2 | Mean | o |
ABC | 0.192 | 1.048 | 94.1% | 1.022% | 1.193% |
(0.11) | (0.10) | ||||
DEF | -0.053 | 0.662 | 91.6% | 0.473% | 0.764% |
(0.19) | (0.09) | ||||
GHI | 0.463 | 0.594 | 68.6% | 0.935% | 0.793% |
(0.19) | (0.07) | ||||
JKL | 0.355 | 0.757 | 64.1% | 0.955% | 1.044% |
(0.22) | (0.08) | ||||
(MNO) | 0.296 | 0.785 | 94.8% | 0.890% | 0.890% |
(0.14) | (0.12) |
a. Which fund had the highest degree of diversification over the sample period? How is diversification measured in this statistical framework? |
b. Rank these funds' performance according to the Sharpe, Treynor, and Jensen measures. |
c. Since you know that according to the CAPM the intercept of these regressions (alpha) should be zero, this coefficient can be used as a measure of the value added provided by the investment manager. Which funds have statistically outperformed and underperformed the market using a two-sided 95% confidence interval? (Note: The relevant t-statistic using 60 observations is 2.00.) |
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