Session Ready
Exercise

Estimating Beta

Now that you have calculated the monthly returns, you can estimate the beta for Mylan using regression analysis. The data object rets you calculated previously is stored in memory.

When you regress the company return (ticker: MYL) on the market index return (ticker: SPY), beta is the resulting coefficient for the market index return in that regression. In this exercise, we want to perform a regression of myl on spy using the lm() function and then extract the beta from the regression summary.

Note: To extract beta, recall that it is the second element of the coefficient matrix (i.e., coeff[2]).

Instructions
100 XP
  • Run a regression of MYL return on SPY return.
  • Extract beta from the regression and store in beta variable.