In: Finance
Investors in mutual funds keep a sharp eye on the total return on their money. They also are aware of the risk involved in their investment, commonly measured by a fund’s volatility (the greater the volatility, the higher the risk). Below is a list of 30 mutual funds randomly selected in 1998 from Fortune’s list of stock and bond funds, together with their 5-year total return (%) and risk assessment: Fund Name Total Return Risk MFS Emerging Growth 21.5 20.6 Kaufmann 19.7 18.4 AIM Constellation A 17.6 18.4 Weitz Hickory 29.9 19.7 Oak Value 25.6 13.0 Gabelli Westwood Equity 23.0 12.3 Nationwide 24.3 12.0 Fidelity Growth/Income 22.6 13.0 Stratton Growth 21.3 11.8 GAM International A 22.6 19.9 Scudder International 14.3 13.7 . Janus Worldwide 23.6 13.7 Oppenheimer Global A 19.0 14.4 New Perspective 18.8 12.1 Putnam Europe Growth A 22.7 14.6 AIM Balanced A 1 5.9 10.8 Delaware A 13.6 8.6 Greenspring 14.0 7.2 Calamos Convertible A 14.3 9.9 Managers Bond 10.3 5.4 Harbor Bond 7.3 4.4 Northeast Investors 3.6 5.5 Strong Gov’t. Securities 7.0 4.4 Lexington GNMA Income 6.9 3.5 Marshall Gov’t. Income 5.8 3.7 Wright U.S. Treasury 6.3 7.5 Excelsior Tax-Exempt 7.6 6.7 Vanguard Municipal 6.5 5.5 Goldman Sachs Global 7.2 4.1 Capital World Bond 5.9 4.9 Suppose that the question you wish to address using this data is whether the total return on the investment is affected by the risk of the investment. You also want to know if you can predict the total return based on the risk. You will attempt a Linear Regression Analysis Using Microsoft Excel 2010 to help you answer these questions. |
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Use Micrsoft Excel 2010 to run a linear regression analysis. What is the value of R2 (R-squared)?
QUESTION 5
What does this value for R2 (R-squared) suggest about the linear equation that Excel determines as the line of best fit?
This equation will be a very good predictor of related data values. |
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This equation will be an acceptable predictor of related data values. |
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This equation will be a poor predictor of related data values. |
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Inconclusive value |
QUESTION 6
Identify the coefficients from the Excel Output summary that are used to write the line of best fit for this data. If the equation was written as
y = b1x + b0,
where y if the total return value and x is the risk, what is the value of b0?
QUESTION 7
Identify the coefficients from the Excel Output summary that are used to write the line of best fit for this data. If the equation was written as
y = b1x + b0,
where y if the total return value and x is the risk, what is the value of b1?
QUESTION 10
Use the line of best fit to predict the total return (y-value) for a risk of x = 11?
Total Return = _________ ?
Solution:
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.825124 | |||||||
R Square | 0.68083 | |||||||
Adjusted R Square | 0.669431 | |||||||
Standard Error | 4.445219 | |||||||
Observations | 30 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 1 | 1180.214 | 1180.214 | 59.72752 | 2.03E-08 | |||
Residual | 28 | 553.2793 | 19.75998 | |||||
Total | 29 | 1733.494 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 2.250724 | 1.833473 | 1.227574 | 0.229828 | -1.50498 | 6.006424 | -1.50498 | 6.006424 |
X Variable 1 | 1.1923 | 0.154276 | 7.728358 | 2.03E-08 | 0.87628 | 1.50832 | 0.87628 | 1.50832 |
Value of r-square = 0.6808
Answer 5:
This equation will be an acceptable predictor of related data values.
Answer 6:
b0 = 2.2507
Answer 7:
b1= 1.1923
Answer 8:
When x = 11, the total return would be
y = 2.2507 + 1.1923*11
y = 15.366