Risk (Individual Securities) In this mini-project you will select 3 stocks with varied volatility, calculate the basic measures of risk and produce a histogram of returns. 1. Using "tq_get" download the prices of 3 stocks with widely varied volatility (i.e some stocks vary a lot and some don't). Using tq_transmute and group_by calculate the returns ("ret" column) like we did in Lecture 6. Then, using the functions sd(), skewness(), and kurtosis() on the "ret" column calculate these measure for each stocks (you can do each stock individually, or by using "group_by" and "tq_performance" functions). 2. Using a ggplot function | "geom_histogram", plot the histograms of all three stocks on a single plot (like the one shown in Lecture 7) 3. Finally, using the calculated values and the plot, comment on the distribution of your chosen stocks relative to the expected normal distribution