Work Directory - BTC Price - LTC Price - Coin Dates - Bitcoin - R Studio Assignment Help

Assignment Task:

Questions:

1. Check you working directory getwd ()

2. Set your working directory to R Studio folder that you have created inside the ANLY 515 folder"

3. Download the 3 data set, and label them BTC, LTC, ETH. These data sets represent the daily prices of three cryptocurrencies: Bitcoin, Litcoin, and Ethereum. Set the first column in each data set to the date format and the remaining columns in numerical format.

4. Create three new datasets that are subsets of the original datasets, to include dates only after "2015-08-31". Name these datasets btc new, ltc new, eth new,

5. Create 4 variables: date (represents dates of observation), BTCPrice (the price of Bitcoin), LTCPrice (Price of Litcoin), ETHPrice (Price of Ethereum)

6. Check the format of these variables by using str () command

7. Use the date variable to create attribute "time" for BTC Price, LTC Price, and ETH Price by using attr() function

8. Create three variables that represent daily returns on all three coins by using return series()(part of FRAPO package) function. Call these variables BTC Ret, LTC Ret, and ETH Ret. 

9. Use date variable to create attribute "time" for BTC Ret, LTC Ret, and ETH Ret

10. Create a character variable Coin Dates which extracts the dates from the BTCRet variable by using as.character(format(as.POSIXct(attr()),"%Y-%m-%d")) function

11. Create time series called BTCReturns by using BTCRetvarible and time series() function

12. Rename the column of BTC Returns to "BTC Returns" by using colnames()

13. Divide the output window into 2 by 2 matrix by using par() function

14. Generate a time series plot of Daily Returns of Bitcoin (requires f Basics library)

15. Generate a box plot of Returns of Bitcoin

16. Generate a acf and pcf of Bitcoin Returns. Make sure to omit missing values

17. Generate a QQ plot of Bitcoin. You may have to generate a variable that omits missing values. use na.omit() function

18. Generate acf and pcf of the absolute returns of Bitcoin returns 

19. Generate Volatility Clustering Plot of absolute daily returns of Bitcoin 

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