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(Everything in Caps has a corresponding link below for reference) One theory ab

by | Aug 27, 2022 | Business | 0 comments

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(Everything in Caps has a corresponding link below for reference)
One theory about the daily changes in the closing price of a stock is that these changes follow a random walk – that is, these daily events are independent of each other, and move upward or downward in a random manner – and can be approximated by a normal distribution (Smith, 2020). To test this theory, you will collect the most recent closing prices of stocks from your favorite company or brand and see if this is truly the case.
Main Post:
Choose your favorite company or brand and search for the company’s name and “historical stock prices”.
Download the stock history for this company for the past 6 weeks by selecting the appropriate dates and clicking on “Download to Spreadsheet” at the bottom of the page.
Calculate the daily stock change in the closing stock prices by taking the difference between the closing and opening price for the day.
Run the Descriiptive Statistics->Summary Statistics, available in the Excel Data Analysis Tools, or use the individual Excel functions to calculate the measures listed below for the daily stock change. Share the summary table or the following descriiptive measures for the daily stock change:
sample standard deviation.
Calculate the 1st and 3rd quartiles of the daily stock change.
Share the 5-number summary.
Create and post a Box & Whiskers Plot using your 5-number summary.
Look at your box and whisker plot.
State which of the following best describes the shape?
right skewed (median < mean)
left skewed (mean < median)
symmetric (mean ≈ median)
Based on the descriiption of the shape, explain why you would or would not consider your daily stock change to be normally distributed.
See GUIDANCE for a daily change calculation, descriiptive statistics, 5-number summary, and descriiption of how the data is skewed. You can also view a Discussion Board starter video to assist you with the Unit 4 Discussion Board in the UNIT 4 LIVEBINDER.
Peer Reply 1: Read a classmate's thread. Consider investing in your classmate's stock and assume that the daily stock price change is normally distributed. Using the Normal Distribution Excel Template (mean – sample size is one workbook) found in the Unit 4 LiveBinder and using your classmate's mean and standard deviation:
Calculate and state a 1% value of the stock on day 1.
Determine the probability for the daily stock change of:
the value of the stock decreasing by 1%. (X 1% of the value of the stock)
Explain in your own words if these are high or low likelihoods for change.
See GUIDANCE for probability sample for 1% changes in stock value.
Peer Reply 2:
Read a different classmate’s thread.
Consider investing in your classmate’s stock. If you wanted to be 95% sure what the daily stock change would be, what range for a daily stock change would you expect? Use the Normal Distribution Excel template found in the Unit 4 LiveBinder to calculate the range.
Volatility is something that can also be examined by comparing the potential change to the overall price. In this situation, the volatility would be the range of the 95% confidence interval divided by the initial value of the stock. What is the volatility for this stock as described?
See GUIDANCE for the range and percentage calculation.
(All links are below. Peer submissions to respond to will be attached in two separate files on September 16,2022)

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