Question
A research analyst is trying to determine whether a firms price-earnings (PE) and price-sales (PS) ratios can explain the firms stock performance over the past
A research analyst is trying to determine whether a firms price-earnings (PE) and price-sales (PS) ratios can explain the firms stock performance over the past year. A PE ratio is calculated as a firms share price compared to the income or profit earned by the firm per share. Generally, a high PE ratio suggests that investors are expecting higher earnings growth in the future compared to companies with a lower PE ratio. The PS ratio is calculated by dividing a firms share price by the firms revenue per share for the trailing 12 months. In short, investors can use the PS ratio to determine how much they are paying for a dollar of the firms sales rather than a dollar of its earnings (PE ratio). In general, the lower the PS ratio, the more attractive the investment. The accompanying table shows a portion of the year-to-date returns (Return in %) and the PE and PS ratios for 30 firms.
Firm | Return | PE | PS |
---|---|---|---|
1 | 4.2 | 14.36 | 2.41 |
2 | 4.1 | 11.03 | 0.80 |
30 | 16.7 | 13.96 | 1.95 |
Click here for the Excel Data File a-1. Estimate: Return = 0 + 1PE + 2PS + . (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.)
a-2. Are the signs on the coefficients as expected? multiple choice 1
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Yes
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No
b. Interpret the slope coefficient of the PS ratio. multiple choice 2
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As the PS ratio increases by 1 unit, the predicted return of the firm decreases by 4.39%, holding PE constant.
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As the PS ratio increases by 1 unit, the predicted return of the firm increases by 3.37%, holding PE constant.
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As the PS ratio increases by 1 unit, the predicted return of the firm decreases by 3.37%, holding PE constant.
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As the PS ratio decreases by 1 unit, the predicted return of the firm decreases by 5.37%, holding PE constant.
c. What is the predicted return for a firm with a PE ratio of 10 and a PS ratio of 2? (Negative value should be indicated by a minus sign. Do not round intermediate calculations. Round final answer to 2 decimal places.)
d. What is the standard error of the estimate? (Round your answer to 2 decimal places.)
e. Interpret R2. multiple choice 3
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40.53% of the sample variation in y is explained by the sample regression equation.
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40.53% of the sample variation in x is explained by the sample regression equation.
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63.67% of the sample variation in x is explained by the sample regression equation.
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36.13% of the sample variation in y is explained by the sample regression equation.
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