I would like to construct 12-month rolling returns, however, I have weekly panel data.
I'm having difficulty to construct this variable as it needs to be in months and on a rolling basis while my data is in weeks. The 12-month returns can either be the sum or the cumulative return of the previous 12 months. Any help or suggestions on how I can construct this variable would be very much appreciated.
Below I provide a sample of the data.
(Stata version I'm using: 16.1)
Kind regards,
Rudolf
Code:
* Example generated by -dataex-. For more info, type help dataex clear input float(id week month) double returns 1 3042 702 .012764235794349599 1 3043 702 .02041700010886416 1 3044 702 .005766705609858036 1 3045 702 -.0010118762203354947 1 3046 702 .0037670689960860315 1 3047 703 .0020717289007734507 1 3048 703 -.0027301527152303606 1 3049 703 .012967288581421599 1 3050 703 .016810451552950134 1 3051 704 -.017451212560778195 1 3052 704 .01321841905069504 1 3053 704 .002523396600736305 1 3054 704 .003559061686973841 1 3055 705 -.022511215647682548 1 3056 705 -.038632962712038754 1 3057 705 -.011971201049163938 1 3058 705 -.034610824362276985 1 3059 705 .019461714662611485 1 3060 706 .01673169482139336 1 3061 706 -.02534775624037966 1 3062 706 -.04442830016731991 1 3063 706 .06272190829622559 1 3064 707 -.048711595067593594 1 3065 707 -.009606348932314823 1 3066 707 -.08471454284153879 1 3067 707 .0539041066461774 1 3068 708 .02832558045936856 1 3069 708 .020540449422192353 1 3070 708 .034897736377320854 1 3071 708 -.008661802334245294 1 3072 708 .04053567091016319 1 3073 709 -.006206407207968889 1 3074 709 .026716585517123193 1 3075 709 .007725641131401062 1 3076 709 -.0014473493537763282 1 3077 710 -.007511112279538601 1 3078 710 .020684414252173156 1 3079 710 -.008034596343820866 1 3080 710 .02202723012305796 1 3081 711 .008937508273809902 1 3082 711 .005946493537209996 1 3083 711 .006635991564863275 1 3084 711 .019613407901488245 1 3085 711 -.007053279550746083 1 3086 712 -.05344061367213726 1 3087 712 .01240828912705183 1 3088 712 -.005865209412393109 1 3089 712 -.0375175136141479 1 3090 713 .06374666118063033 1 3091 713 .000026310153771191835 1 3092 713 .022063414216972888 1 3093 713 .01237669587135315 1 3094 714 .00003841141872884535 1 3095 714 .019829148508186734 1 3096 714 -.011195861606217328 1 3097 714 .004324792418628931 1 3098 714 -.06548765726620331 1 3099 715 .013873234513048338 1 3100 715 .018475859658792615 1 3101 715 -.014217216521501541 1 3102 715 .014838154644388535 1 3103 716 .01329785556299612 1 3104 716 .005806573200970888 1 3105 716 -.004276997467968613 1 3106 716 -.012829712126404047 1 3107 717 -.009080902906134725 1 3108 717 .009824079577811062 1 3109 717 .011757313273847103 1 3110 717 .027176437433809042 1 3111 717 .010644883563487362 1 3112 718 .00003227881515766029 1 3113 718 .01688830151537779 1 3114 718 .019417997032030065 1 3115 718 -.007976460221756174 1 3116 719 .005581855117895884 1 3117 719 .018926126552314848 1 3118 719 .010717585508579486 1 3119 719 .004122246805560392 1 3120 720 .013227885514027982 1 3121 720 .02085257862021256 1 3122 720 .015365185190610309 1 3123 720 -.00986608909345943 1 3124 720 .01796149427212157 1 3125 721 .019984229487153837 1 3126 721 .009825398348017433 1 3127 721 -.07975544896908104 1 3128 721 -.02987141087390821 1 3129 722 -.03535800892859697 1 3130 722 -.1481177918612957 1 3131 722 .006236542481929064 1 3132 722 .049138973001390696 1 3133 723 .02604389563202858 1 3134 723 .07715939012885276 1 3135 723 -.034511258359998465 1 3136 723 .03960016408969169 1 3137 723 .032396498461213064 1 3138 724 .017279934928711604 1 3139 724 .025013391750277947 1 3140 724 .016323459248746452 1 3141 724 .026496227842703002 end format %tw week format %tm month
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