Chart Title 70.0% 60.0% 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% -10.0%0.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35 0% 40.0% -20.0% Goodman Landry o make the graph, we first selected the range with the returns and the column heads, then clicked the chart wizard, then hoose the scatter diagram without connected lines. That gave us the data points. We then used the drawing toolbar to nake free-hand ("by eye") regression lines, and changed the lines color and weights to match the dots. . Estimate Goodman's and Landry's betas as the slopes of regression lines with stock returns on the vertical xis (y-axis) and market return on the horizontal axis (x-axis). (Hint: use Excel's SLOPE function.) Are these betas consistent with your graph? Goodman's beta = 1.54

Chart Title 70.0% 60.0% 50.0% 40.0% 30.0% 20.0% 10.0% 0.0% -10.0%0.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35 0% 40.0% -20.0% Goodman Landry o make the graph, we first selected the range with the returns and the column heads, then clicked the chart wizard, then hoose the scatter diagram without connected lines. That gave us the data points. We then used the drawing toolbar to nake free-hand ("by eye") regression lines, and changed the lines color and weights to match the dots. . Estimate Goodman's and Landry's betas as the slopes of regression lines with stock returns on the vertical xis (y-axis) and market return on the horizontal axis (x-axis). (Hint: use Excel's SLOPE function.) Are these betas consistent with your graph? Goodman's beta = 1.54

Essentials Of Investments

11th Edition

ISBN:9781260013924

Author:Bodie, Zvi, Kane, Alex, MARCUS, Alan J.

Publisher:Bodie, Zvi, Kane, Alex, MARCUS, Alan J.

Chapter1: Investments: Background And Issues

Section: Chapter Questions

Problem 1PS

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Question 6 Anita Limited has shared their annual sales revenue over the last 6 financial years from 2015 to 2020. Year Sales ($ 000) 2015 4500 2016 5100 2017 4900 2018 5400 2019 5670 2020 6000 You are required to; Using linear trend equation forecast the sales revenue of Anita Limited for 2021. ANSWER: Calculate the forecasted sales difference if you use 3-period weighted moving average designed with the following weights: 2018 (0.1), 2019 (0.3) and 2020(0.6).
Example 14: CVP Analysis Application: For example, sale price of one laptop is $500, sales revenue=500Q; Assume that expense is Y=a+bx=$80,000+300Q. We can draw two lines to assume Horizontal line (X) is the units sold Q and Vertical line (Y) is dollar sales $. We need to draw a graph using this information
Table 9.2 Average Returns for T-bills T-Bills 1950 to 1959 Average 2.0 % 1960 to 1969 Average 4.0 1970 to 1979 Average 6.3 1980 to 1989 Average 8.9 1990 to 1999 Average 4.9 2000 to 2009 Average 2.8 Table 9.4 Annual Standard Deviation for T-Bills T-Bills 1950 to 1959 0.8 % 1960 to 1969 1.3 1970 to 1979 1.8 1980 to 1989 2.6 1990 to 1999 1.2 2000 to 2009 1.9 Use the tables above to calculate the coefficient of variation of the risk-return relationship in T-bills during each decade since 1950. (Round your answers to 2 decimal places.)
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