Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
Simple Linear Regression
One measure of the risk or volatility of an individual stock is the standard deviation of the total return (capital appreciation plus dividends) over several periods of time. Although the standard deviation is easy to compute, it does not take into account the extent to which the price of a given stock varies as a function of a standard market index, such as the S&P 500.As a result, many financial analysts prefer to use another measure of risk referred to as beta. Betas for individual stocks are determined by simple linear regression. The dependent variable is the total return for the stock and the independent variable is the total return for the stock market.* For this case problem we will use the S&P 500 index as the measure of the total return for the stock market, and an estimated regression equation will be developed using monthly data. The beta for the stock is the slope of the estimated regression equation (b1). The data contained in the file named Beta provides the total return (capital appreciation plus dividends) over 36 months for eight widely traded common stocks and the S&P 500.The value of beta for the stock market will always be 1; thus, stocks that tend to rise and fall with the stock market will also have a beta close to 1. Betas greater than 1 indicate that the stock is more volatile than the market, and betas less than 1 indicate that the stock is less volatile than the market. For instance, if a stock has a beta of 1.4, it is 40% more volatile than the market, and if a stock has a beta of .4, it is 60% less volatile than the market.
You have been assigned to analyze the risk characteristics of these stocks. Prepare a report that includes but is not limited to the following items.
a. Compute descriptive statistics for each stock and the S&P 500. Comment on your results. Which stocks are the most volatile?
b. Compute the value of beta for each stock. Which of these stocks would you expect to perform best in an up market? Which would you expect to hold their value best in adown market?
c. Comment on how much of the return for the individual stocks is explained by the market.
1. MMC's CEO, Dr. Warren A. Beatty (Not the actor) believes that the demand trend for MMC is essentially linear. Thus, he wishes to determine if linear regression would be an effec
discuss the considerations to be born in mind when constracting index numbers
After analyzing the data the researcher has to test ten hypotheses various tests such as chi square test t test have been developed by statisticians for the purpose. The hypotheses
names of assets and liabilities
Consider the two events A and B with P(A) = 0.4 and P(B) = 0.3. (a) If A and B are independent then compute the probability that Both A and B happen
What is regression analysis ? Discuss the relation between ''correlation coefficient'' and the ''regression coefficients''?
How to interpret Anova
Question: (a) 100 individuals applied for systems analyst positions with a large firm during the past year. 40 of them had some prior work experience (W), and 30 had a profes
Cash equivalent Short-term: highly liquid investments that are together [1) readily convertible to known amounts of cash & [2) so close to their maturity that they there insignifi
In a mathematics examination the average grade was 82 and the standard deviation was 5. all students with grade from 88 to 94 received grade of B. if the grade are approximately no
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +91-977-207-8620
Phone: +91-977-207-8620
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd