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Assignment: Complete calculation in the attached spreadsheet based on the IBM Excel Data.
The purpose of this exercise is to provide experience in locating, understanding, and analyzing basic stock price data. The ultimate objective is to translate this data into standard measures of risk and return. The accompanying Excel file provides you with monthly price and dividend data for IBM (Ticker symbol: IBM) from Yahoo Finance. (If you want to see where the data came from, go to Yahoo Finance. Type in the ticker, IBM. Then, click historical prices.)Expand the spreadsheet and compute monthly HPRs for each of the 24 months using the HPR formula in Lesson 1 (RoR Attachment). Make sure to include the dividends.
Calculate the arithmeticmean of the monthly HPRs for IBM. Calculate the geometric mean of the monthly HPRs for IBM.Expand the spreadsheet to calculate the standard deviation of the monthly HPRs using an approach similar to the one illustrated in the Measuring Risk section of Lesson 1(RoR Attachment). Calculate the annualized version of your answers from parts 3 and 4. (Your answers should be the annualized versions of only the final answers of parts 3 and 4, not annualized versions of each monthly HPR.) Report your final answersfor parts 2, 3 and 4 in the yellow cells in column E of the spreadsheet.
You may notice that the examples in the online notes use a divisor of n–1 for calculation of variance and standard deviation instead of n. In statistics, this is appropriate if we have a sample of returns rather than the entire population of returns. While this difference is not a big deal if you have over 30 observations, it can make a difference if you have a modest number of monthly returns to work with. Use the divisor of n–1 for this exercise.
Provide calculation and formula in excel indicating how to arrive at the answer.

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