As part of a process to build a new automotive portfolio, it has been deemed necessary to determine the beta coefficients for two different car companies. Data for this task are linked below. Compare the required return on the two stocks to compensate for the risk. Click the icon to view the table. %. Company A has a beta of and an average monthly return of (Round to three decimal places as needed.) - X Monthly Stock Return Data Company A 0.04732098 0.06956742 Company B 0.08574108 0.13777865 Industry Index 0.04322503 0.04418919 0.09835324 0.09346728 0.18774415 0.04702873 0.01370243 0.01980179 -0.05375988 -0.06032283 -0.07676052 -0.05655074 -0.06172674 -0.01649425 0.02538726 -0.07735817 -0.03228459 0.04891627 -0.00063895 -0.21785894 -0.01988619 0.01593117 -0.00320552 -0.07828524 0.02674517 0.05280213 0.02760529 -0.01433005 -0.01015776 0.03274043 -0.03310493 0.00922805 0.06881796 -0.03189106 -0.01269386 0.07621835 -0.07089475 0.03183807 -0.00074311 -0.06701673 0.02700566 0.03454816 -0.01619303 -0.00907227 0.03668765 -0.05034353 0.01102345 0.00195057 0.01430755 -0.00010083 0.02709425 0.06032231 0.02964072 0.09642766 0.16795564 0.08617219 0.07034116 0.02770342 -0.02188376 0.03483145 -0.02043233 -0.06506324 0.02567968 0.00279289 -0.04669658 0.00326161 -0.05294698 -0.07261967 Print Done As part of a process to build a new automotive portfolio, it has been deemed necessary to determine the beta coefficients for two different car companies. Data for this task are linked below. Compare the required return on the two stocks to compensate for the risk. Click the icon to view the table. %. Company A has a beta of and an average monthly return of (Round to three decimal places as needed.) - X Monthly Stock Return Data Company A 0.04732098 0.06956742 Company B 0.08574108 0.13777865 Industry Index 0.04322503 0.04418919 0.09835324 0.09346728 0.18774415 0.04702873 0.01370243 0.01980179 -0.05375988 -0.06032283 -0.07676052 -0.05655074 -0.06172674 -0.01649425 0.02538726 -0.07735817 -0.03228459 0.04891627 -0.00063895 -0.21785894 -0.01988619 0.01593117 -0.00320552 -0.07828524 0.02674517 0.05280213 0.02760529 -0.01433005 -0.01015776 0.03274043 -0.03310493 0.00922805 0.06881796 -0.03189106 -0.01269386 0.07621835 -0.07089475 0.03183807 -0.00074311 -0.06701673 0.02700566 0.03454816 -0.01619303 -0.00907227 0.03668765 -0.05034353 0.01102345 0.00195057 0.01430755 -0.00010083 0.02709425 0.06032231 0.02964072 0.09642766 0.16795564 0.08617219 0.07034116 0.02770342 -0.02188376 0.03483145 -0.02043233 -0.06506324 0.02567968 0.00279289 -0.04669658 0.00326161 -0.05294698 -0.07261967 Print Done