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pul u nei generale sing knit titled homework-2.pdf. You are required to: Add your name to the author information in Rmd heade
# Answer 6 Add a column to the dataframe that includes log returns. Plot the returns. Do you see a trend? # Answer 7 Question

question 1. using Rstudio
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Answer #1

Answer 1:- The data frame contains 253 observations. The variables contained in this database are :-

  • Open Prices
  • High Prices
  • Low Prices
  • Closing Prices
  • Adjusted Closing
  • Volume

Answer2 :- The highest Closing Price was 209.78 and it was made on 02nd Jan,2020

Answer 3:- The column has been added to the excel file and the histogram of the same has been drawn. The mean of that column is 273.91 and the variance is 572.0351

Answer 4:- The Statistical correlation between all the variables of table is as follows:-

Open High Low Close Adj Close Volume Avg of High& Low
Open 1
High 0.995732 1
Low 0.993476 0.994109 1
Close 0.988793 0.994323 0.996266 1
Adj Close 0.988793 0.994323 0.996266 1 1
Volume -0.23677 -0.21591 -0.27924 -0.25705 -0.25705 1
Avg of High& Low 0.996285 0.999345 0.997379 0.996276 0.996276 -0.23733 1

Answer 5:- The plot of open and close prices:-

Open & Close price plot close 120 140 160 180 200 220 Open
Yes, the plot is very much in accordance with the correlation

Answer6:- The Log returns has been calculated in the excel sheet

Log Returns -0.02 260 300 -0.04 -0.06 -0.08 -0.1

The trend of Log returns is range bound. The Trend is more or less Stationary.

The pictures of excel file created are attached below:-

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