Create a dataset that has monthly returns for the following stocks: TSLA, JNJ$,$ GOOGL, and GE from January $1,2018$ to December $31,2022$ using their "adjusted" price. Create an equally weighted portfolio consisting of these stocks and calculate the monthly returns of your portfolio. Import the Market Returns and Risk$-$Free Rate dataset and join with your portfolio to obtain the market return $($market return$)$ and risk$-$free rate $($risk$-$free$).$ An equally weighted portfolio means that you invest the same proportion of your total investment into each stock. If you have $4$ stocks, you'd invest $25\%$ of your total funds into each. Please provide all codes in R

Question$1$: Looking at portfolio monthly returns, how many months did this portfolio exceed a $25\%$ return rate.

Question$2$: $($i$)$ What is the portfolio standard deviation, by$\%($ii$)$ GE standard deviation by $\%,($iii$)$ Portfolio arithmetic average in $\%,($iv$)$ GE arithmetic average in $\%$

Question$3$: What is the compounded cumulative return

Question $4$: What is TSLA's average monthly access return relative to the market in $\%?$

Below is data for market and risk free:

Date market$\_$return risk$\_$free

$1/31/180\mathrm{.}047481090\mathrm{.}0146$

$2/28/18-0\mathrm{.}0389473720\mathrm{.}0165$

$3/29/18-0\mathrm{.}0268844990\mathrm{.}0173$

$4/30/180\mathrm{.}0027187750\mathrm{.}0187$

$5/31/180\mathrm{.}0216083420\mathrm{.}0193$

$6/29/180\mathrm{.}0048424360\mathrm{.}0193$

$7/31/180\mathrm{.}0360215560\mathrm{.}0203$

$8/31/180\mathrm{.}0302632110\mathrm{.}0211$

$9/28/180\mathrm{.}0042942870\mathrm{.}0219$

$10/31/18-0\mathrm{.}0694033560\mathrm{.}0234$

$11/30/180\mathrm{.}0178593570\mathrm{.}0237$

$12/31/18-0\mathrm{.}0917768950\mathrm{.}0245$

$1/31/190\mathrm{.}0786844020\mathrm{.}0241$

$2/28/190\mathrm{.}0297288890\mathrm{.}0245$

$3/29/190\mathrm{.}0179242560\mathrm{.}024$

$4/30/190\mathrm{.}0393134980\mathrm{.}0243$

$5/31/19-0\mathrm{.}0657777310\mathrm{.}0235$

$6/28/190\mathrm{.}0689301640\mathrm{.}0212$

$7/31/190\mathrm{.}0131281520\mathrm{.}0208$

$8/30/19-0\mathrm{.}0180916270\mathrm{.}0199$

$9/30/190\mathrm{.}0171811780\mathrm{.}0188$

$10/31/190\mathrm{.}0204317710\mathrm{.}0154$

$11/29/190\mathrm{.}0340470380\mathrm{.}0159$

$12/31/190\mathrm{.}0285898190\mathrm{.}0155$

$1/31/20-0\mathrm{.}0016280930\mathrm{.}0155$

$2/28/20-0\mathrm{.}0841104840\mathrm{.}0127$

$3/31/20-0\mathrm{.}1251192820\mathrm{.}0011$

$4/30/200\mathrm{.}1268440389\mathrm{.}00$E$-04$

$5/29/200\mathrm{.}045281820\mathrm{.}0014$

$6/30/200\mathrm{.}0183883970\mathrm{.}0016$

$7/31/200\mathrm{.}0551013219\mathrm{.}00$E$-04$

$8/31/200\mathrm{.}0700646670\mathrm{.}0011$

$9/30/20-0\mathrm{.}039227970\mathrm{.}001$

$10/30/20-0\mathrm{.}0276657869\mathrm{.}00$E$-04$

$11/30/200\mathrm{.}1075456358\mathrm{.}00$E$-04$

$12/31/200\mathrm{.}0371214599\mathrm{.}00$E$-04$

$1/29/21-0\mathrm{.}0111366616\mathrm{.}00$E$-04$

$2/26/210\mathrm{.}0260914514\mathrm{.}00$E$-04$

$3/31/210\mathrm{.}0424386333\mathrm{.}00$E$-04$

$4/30/210\mathrm{.}0524253211\mathrm{.}00$E$-04$

$5/28/210\mathrm{.}0054864890\mathrm{.}0001$

$6/30/210\mathrm{.}022214015\mathrm{.}00$E$-04$

$7/30/210\mathrm{.}0227480556\mathrm{.}00$E$-04$

$8/31/210\mathrm{.}0289904164\mathrm{.}00$E$-04$

$9/30/21-0\mathrm{.}0475691694\mathrm{.}00$E$-04$

$10/29/210\mathrm{.}0691438365\mathrm{.}00$E$-04$

$11/30/21-0\mathrm{.}0083337065\mathrm{.}00$E$-04$

$12/31/210\mathrm{.}0436129136\mathrm{.}00$E$-04$

$1/31/22-0\mathrm{.}0525851650\mathrm{.}0022$

$2/28/22-0\mathrm{.}0313604920\mathrm{.}0035$

$3/31/220\mathrm{.}0357732880\mathrm{.}0052$

$4/29/22-0\mathrm{.}0879567120\mathrm{.}0085$

$5/31/225\mathrm{.}32$E$-050\mathrm{.}0116$

$6/30/22-0\mathrm{.}083920\mathrm{.}0172$

$7/29/220\mathrm{.}0911163920\mathrm{.}0241$