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A research analyst is trying to determine whether a firm s price - earnings ( PE ) and price - sales ( PS ) ratios
A research analyst is trying to determine whether a firms priceearnings PE and pricesales 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 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 yeartodate returns Return in and the PE and PS ratios for firms.
Firm Return PE PS
Click here for the Excel Data File
a Estimate: Return beta beta PE beta PS epsi Negative values should be indicated by a minus sign. Round your answers to decimal places.
a Are the signs on the coefficients as expected?
multiple choice
Yes
No
b Interpret the slope coefficient of the PS ratio.
multiple choice
As the PS ratio decreases by unit, the predicted return of the firm decreases by holding PE constant.
As the PS ratio increases by unit, the predicted return of the firm decreases by holding PE constant.
As the PS ratio increases by unit, the predicted return of the firm decreases by holding PE constant.
As the PS ratio increases by unit, the predicted return of the firm increases by holding PE constant.
c What is the predicted return for a firm with a PE ratio of and a PS ratio of Negative value should be indicated by a minus sign. Do not round intermediate calculations. Round final answer to decimal places.
d What is the standard error of the estimate? Round your answer to decimal places.
e Interpret R
multiple choice
of the sample variation in y is explained by the sample regression equation.
of the sample variation in x is explained by the sample regression equation.
of the sample variation in x is explained by the sample regression equation.
of the sample variation in y is explained by the sample regression equation
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