In the first part of this project, you will be working with data about covid-19 taken from the European Centre for Disease Prevention and Control (ECDC). You will be importing the csv data file (covidcases.csv) into R and you are going to explore the data using some of the quantitative techniques we developed so far. More specifically, in this part, you will be summarizing and plotting some graphs and maps for covid-19 cases in Kuwait and in other nations and/or continents.
In the second part you will be analyzing the price movements for a company of your choice based on the S&P 500 list of companies available online. In this part, you will also be using some sophisticated forecasting techniques such as the autoregressive integrated moving average (ARIMA) and artificial neural networks (ANN) to forecast the market trends before and after covid-19. The performance of such models will also be compared.
Finally, you will run 1000 simulations to investigate the performance of the stock price. In this exercise, you will also be comparing the Compound Annual Growth Rate (CAGR) of the company you selected against the CAGR obtained from the simulation runs.
