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1 MGMT-6016 Individual Project Requirements Learning Objectives: 1) Access and download financial data: time series of stock prices. 2) Compile stock returns from stock prices. 3) Statistical analysis...

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MGMT-6016 Individual Project Requirements
Learning Objectives:
1) Access and download financial data: time series of stock prices.
2) Compile stock returns from stock prices.
3) Statistical analysis and interpretation of financial data.
You need to complete all three and submit your statistical analysis and interpretation as a word document.
After compiling stock returns (as shown below), you are required to submit a summary table of the
following moments and your analysis and interpretation of your findings in the summary table.
Select two non-overlapping time periods for your data. For two 5-year time periods use 2011 – 2015 and
2016 – 2020, or for two 10-year periods choose XXXXXXXXXXand XXXXXXXXXX.
1) First Moment: Average (Mean) value of the stock returns
2) Second Moment about the mean: Variance of the stock returns
3) Standard Deviation of the stock returns: Square root of variance
4) Third Moment about the mean: Skewness of stock returns
5) Fourth Moment about the mean: Kurtosis of stock returns
Compute the above using built-in formulae in Excel (use sample formulae not population)
Compare and submit your analysis and interpretation of the above moments (-25% if no analysis and
interpretation submitted)
Calculate stock returns from stock prices:
Stock Return (rt) as log returns:
1
ln tt
t
Pr P−
 =  
 
where:
tP = Closing stock price at time t (say today for daily) and
1tP− = Closing stock price at time t-1 (say yesterday for daily)
Stock return (rt) may also be computed as:
1
1
t t
t
t
P P
P


 −
=  
 

You may choose any stock: Use tickers (unique identifiers) from list of tickers shown in excel file and use
Yahoo finance to download data (closing stock prices) from 2015 – 2020 and 2010 – 2015. Use Excel and
its built-in formulae to compute returns and statistical moments for your summary table.
Yahoo Finance

Step 1: Search for a stock of your choice: For example Apple using its Ticker (AAPL)

This is what you see:
https:
finance.yahoo.com
2


Step 2: Go to Historical Data in the menu
1. Choose Frequency: Daily, weekly, or monthly
2. Choose Time Periods: Two non-overlapping time periods of 5 years (5Y) at least
3. Select Download
4. Select the format for download as ‘Microsoft Excel Comma Separated Value (CSV)’
5. Open the downloaded csv file in Excel and complete Summary table with moments
Skewness and Kurtosis
Normality Testing - Skewness and Kurtosis

Skewness (Use built in formula in Excel) “=SKEW(…..)”


Kurtosis (Use built in formula in Excel) “=KURT( …)”









https:
help.gooddata.com/doc/en
eporting-and-dashboards/maql-analytical-query-language/maql-expression-reference/aggregation-functions/statistical-functions/predictive-statistical-use-cases/normality-testing-skewness-and-kurtosis
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Q.1: Are the returns normally distributed?

Here is a link for testing normality of returns using Excel:

https:
www.statology.org/normality-test-excel/


Q.2: Are average returns different for the two non-overlapping time periods?

Here is a link how to test difference in means (averages) using a two-sample t-test

Link to a well-illustrated video on how to do a two sample t-test in Excel

https:
mattchoward.com/how-to-perform-a-t-test-in-excel/

Submit your analysis with a summary table of higher moments for the two non-overlapping time
periods and your analysis and interpretation (please do not submit your raw data).


https:
www.statology.org/normality-test-excel
https:
mattchoward.com/how-to-perform-a-t-test-in-excel/
Answered 2 days After Mar 03, 2021

Solution

Sumit answered on Mar 05 2021
149 Votes
Chosen Company: Amazon Incorporation
Frequency: Monthly
Results for the period 2011-2015:
    Particulars
    Amount
    Mean
    298.43%
    Variance
    13886.53886
    Standard Deviation
    117.8411594
    Skewness
    1.397288337
    Kurtosis
    1.920472144
Results for the period 2016-2020:
    Particulars
    Amount
    Mean
    454.84%
    Variance
    566524.5
    Standard...
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