Descriptive statistics for every stock, Applied Statistics

Assignment Help:

Simple Linear Regression

One calculate of the risk or volatility of an individual stock is the standard deviation of the total return (capital appreciation plus dividends) over various periods of time. Although the standard deviation is simple 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, more 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.
You have been assigned to examine the risk characteristics of these stocks. List a report that contains but is not limited to the following items.

a.    Compute descriptive statistics for every stock and the S&P 500. Comment on your results. Which stocks are the most volatile?

b.    Compute the value of beta for every 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 detailed by the market.


Related Discussions:- Descriptive statistics for every stock

Choose the correct null hypotheses, For the following claim, find the null ...

For the following claim, find the null and alternative hypotheses, test statistic, P-value, critical value and draw a conclusion. Assume that a simple random sample has been selec

Statisttics., Explain any two applications of statistics

Explain any two applications of statistics

Variance, Variance The term variance was used to describe the square of...

Variance The term variance was used to describe the square of the standard deviation by R.A.Fisher. The concept of variance is highly important in areas where it is possible to

Simple linear regression, We are interested in assessing the effects of tem...

We are interested in assessing the effects of temperature (low, medium, and high) and technical configuration on the amount of waste output for a manufacturing plant. Suppose that

Measures of dispersion, Other Measures of Dispersion In this section, ...

Other Measures of Dispersion In this section, we look at relatively less used measures of dispersion like fractiles, deciles, percentiles, quartiles, interquartile range and f

Decision theory, 1. Definition of decision tree, 2. Feature of decision the...

1. Definition of decision tree, 2. Feature of decision theory problem

Estimate the values of the dependent variable, 1. Suppose you are estimatin...

1. Suppose you are estimating the imports (from both the U.S. mainland and foreign countries) of fuels and petroleum products in Hawaii (the dependent variable). The values of the

Package design ratings, Consider the sample of 60 package design ratings gi...

Consider the sample of 60 package design ratings given in the table below.                                    A Sample of Package Design Ratings                 (Composite S

Index Number of formulae, discuss the mathematical test of adequacy of inde...

discuss the mathematical test of adequacy of index number of formulae. prove algebraically that the laspeyre, paasche and fisher price index formulae satisfies this test. What is

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

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!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd