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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

  • Yes

  • No

b. Interpret the slope coefficient of the PS ratio. multiple choice 2

  • As the PS ratio increases by 1 unit, the predicted return of the firm decreases by 4.39%, holding PE constant.

  • As the PS ratio increases by 1 unit, the predicted return of the firm increases by 3.37%, holding PE constant.

  • As the PS ratio increases by 1 unit, the predicted return of the firm decreases by 3.37%, holding PE constant.

  • 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

  • 40.53% of the sample variation in y is explained by the sample regression equation.

  • 40.53% of the sample variation in x is explained by the sample regression equation.

  • 63.67% of the sample variation in x is explained by the sample regression equation.

  • 36.13% of the sample variation in y is explained by the sample regression equation.

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