1. Compute Return per Unit of Risk Criterion (RRC) for each stock; 2. Would you invest in IBM or DELL? Why?

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
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MARIMAR
QUESTION 1
The following table provides the rate of returns on IBM and DELL from 2019 to 2023:
Year
Return on IBM
Return on DELL
2019
14
18
2022
2023
2020
12
12
1. Compute Return per Unit of Risk Criterion (RRC) for each stock;
2. Would you invest in IBM or DELL? Why?
P
1
2
3
2021
10
20
QUESTION 2
The following table contains yearly data on theprice of beef ($/Kg) and the quantity demanded
for beef (Kg) from 2021 to 2023:
Year
2021
0
6
4
2
2022
14
12
2023
15
8
Where:
Q: quantity demanded for beef (Lbs);
P: price of beef ($/Lbs).
Consider the following simple linear regression: Q =B₁ + B,P.
1. Use Ordinary Least Squares Method to estimate B and B.;
2. Interpret the slope;
8. Find the prediction line:
4. Compute the coefficient of determination; that is, R²,
5. What would be the effect of a $4 increase in price on quantity demanded?
6. What would be the effect of a $2 decrease in price on quantity demanded?
Note: O is the dependent variable (the Y-axis) and P is the independent variable
Transcribed Image Text:MARIMAR QUESTION 1 The following table provides the rate of returns on IBM and DELL from 2019 to 2023: Year Return on IBM Return on DELL 2019 14 18 2022 2023 2020 12 12 1. Compute Return per Unit of Risk Criterion (RRC) for each stock; 2. Would you invest in IBM or DELL? Why? P 1 2 3 2021 10 20 QUESTION 2 The following table contains yearly data on theprice of beef ($/Kg) and the quantity demanded for beef (Kg) from 2021 to 2023: Year 2021 0 6 4 2 2022 14 12 2023 15 8 Where: Q: quantity demanded for beef (Lbs); P: price of beef ($/Lbs). Consider the following simple linear regression: Q =B₁ + B,P. 1. Use Ordinary Least Squares Method to estimate B and B.; 2. Interpret the slope; 8. Find the prediction line: 4. Compute the coefficient of determination; that is, R², 5. What would be the effect of a $4 increase in price on quantity demanded? 6. What would be the effect of a $2 decrease in price on quantity demanded? Note: O is the dependent variable (the Y-axis) and P is the independent variable
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