﻿www.icmai.in:@0.798205:0.974748:0.923794:0.974748:0.923794:0.957721:0.798205:0.957721:0.015775:0.015775:0.015775:0.005780:0.006278:0.009118:0.016807:0.011271:0.006278:0.005780:0.006278:0.010674
May 2017:@0.406839:0.977956:0.492193:0.977956:0.492193:0.962673:0.406839:0.962673:0.015974:0.009606:0.010131:0.004740:0.011452:0.011452:0.011452:0.010547
100:@0.073530:0.980264:0.108265:0.980264:0.108265:0.958570:0.073530:0.958570:0.011940:0.011940:0.010855
The Management Accountant:@0.122650:0.977954:0.372489:0.977954:0.372489:0.962671:0.122650:0.962671:0.011452:0.011452:0.009009:0.004740:0.015974:0.010131:0.011452:0.009968:0.009787:0.009009:0.015974:0.009009:0.011452:0.006748:0.004740:0.013713:0.009009:0.009009:0.010131:0.011452:0.011452:0.006748:0.010131:0.011452:0.005843
l:@0.382870:0.976735:0.397343:0.976735:0.397343:0.966042:0.382870:0.966042:0.014473
Actual and expected average ROE: A diagnostic comparison:@0.076923:0.132537:0.550410:0.132537:0.550410:0.114450:0.076923:0.114450:0.011169:0.008472:0.006705:0.010220:0.009745:0.004825:0.004844:0.009745:0.010220:0.010353:0.004844:0.009004:0.008985:0.010353:0.009004:0.008472:0.006705:0.009004:0.010353:0.004844:0.009460:0.008776:0.009004:0.006364:0.009745:0.008757:0.009004:0.004844:0.010980:0.012594:0.009954:0.005661:0.004844:0.011549:0.004844:0.010353:0.004806:0.009745:0.008757:0.010220:0.009973:0.007921:0.006705:0.004806:0.008472:0.004844:0.008472:0.009973:0.014437:0.010353:0.009745:0.006743:0.004806:0.007921:0.009973:0.010220
To make the study more meaningful, a comparison between actual average ROE and expected average ROE has :@0.092308:0.147102:0.926889:0.147102:0.926889:0.131819:0.092308:0.131819:0.009299:0.009226:0.003980:0.015070:0.009226:0.008684:0.008105:0.003980:0.005843:0.010547:0.008105:0.003980:0.006965:0.005843:0.010547:0.009064:0.009226:0.003980:0.015070:0.009226:0.006965:0.008105:0.003980:0.015070:0.008105:0.009226:0.010547:0.004704:0.010547:0.009226:0.004704:0.010547:0.004704:0.004704:0.003980:0.009226:0.003980:0.008105:0.009226:0.015070:0.009226:0.009226:0.006965:0.004704:0.006965:0.009226:0.010547:0.003980:0.009226:0.008105:0.005843:0.013062:0.008105:0.008105:0.010547:0.003980:0.009226:0.008105:0.005843:0.010547:0.009226:0.004704:0.003980:0.008521:0.008521:0.008105:0.006802:0.009064:0.008883:0.008105:0.003980:0.010601:0.011868:0.009226:0.003980:0.009226:0.010547:0.009226:0.003980:0.007761:0.009226:0.009226:0.008105:0.008105:0.005843:0.008105:0.009226:0.003980:0.008521:0.008521:0.008105:0.006802:0.009064:0.008883:0.008105:0.003980:0.010601:0.011868:0.009226:0.003980:0.010547:0.009226:0.006965:0.003835
been made. For forecasting the expected average ROE, Exponential Smoothing Model is used.:@0.076930:0.163076:0.769677:0.163076:0.769677:0.147794:0.076930:0.147794:0.009226:0.008105:0.008105:0.010547:0.003835:0.015070:0.009226:0.009226:0.007761:0.004704:0.003835:0.008702:0.009226:0.006965:0.003835:0.004704:0.009226:0.006965:0.008105:0.008105:0.009226:0.006965:0.005843:0.004704:0.010547:0.009226:0.003835:0.005843:0.010547:0.008105:0.003835:0.007761:0.009226:0.009226:0.008105:0.008105:0.005843:0.008105:0.009226:0.003835:0.008521:0.008521:0.008105:0.006802:0.009064:0.008883:0.008105:0.003835:0.010601:0.011868:0.009226:0.004704:0.003835:0.009226:0.009226:0.009226:0.009226:0.010547:0.008105:0.010547:0.005843:0.004704:0.009226:0.004704:0.003835:0.009226:0.015070:0.009226:0.009226:0.005843:0.010547:0.004704:0.010547:0.009226:0.003835:0.015070:0.009226:0.009226:0.008105:0.004704:0.003835:0.004704:0.006965:0.003835:0.010547:0.006965:0.008105:0.009226:0.004704
Exponential Smoothing Model: A conceptual framework and application:@0.076923:0.196437:0.651240:0.196437:0.651240:0.178349:0.076923:0.178349:0.009954:0.008985:0.010353:0.009973:0.010220:0.009004:0.010220:0.006705:0.004806:0.009745:0.004825:0.004844:0.009346:0.014437:0.009973:0.009973:0.006705:0.010201:0.004806:0.010220:0.008757:0.004844:0.016260:0.009973:0.010353:0.009004:0.004825:0.005661:0.004844:0.011549:0.004844:0.008472:0.009973:0.010220:0.008472:0.009004:0.010353:0.006705:0.010220:0.009745:0.004825:0.004844:0.006573:0.006364:0.009745:0.014437:0.009004:0.013107:0.009973:0.006743:0.009327:0.004844:0.009745:0.010220:0.010353:0.004844:0.009745:0.010353:0.010353:0.004825:0.004806:0.008472:0.009745:0.006705:0.004806:0.009973:0.010220
It is a technique or method of forecasting data without following any trend or seasonality. We consider the recent data to :@0.092308:0.210668:0.925786:0.210668:0.925786:0.196914:0.092308:0.196914:0.005275:0.005275:0.004168:0.004250:0.006285:0.004168:0.008320:0.004168:0.005275:0.007311:0.007311:0.009509:0.009509:0.004250:0.008320:0.009509:0.007311:0.004168:0.008320:0.006285:0.004168:0.013579:0.007311:0.005275:0.009509:0.008320:0.008320:0.004168:0.008320:0.006334:0.004168:0.004250:0.008320:0.006285:0.007311:0.007311:0.008320:0.006285:0.005275:0.004250:0.009509:0.008320:0.004168:0.008320:0.008174:0.005275:0.008320:0.004168:0.012407:0.004250:0.005275:0.009509:0.008320:0.009509:0.005275:0.004168:0.004250:0.008320:0.004250:0.004250:0.008011:0.012407:0.004250:0.009509:0.008320:0.004168:0.008320:0.009037:0.008320:0.004168:0.005275:0.006285:0.007311:0.009509:0.008320:0.004168:0.008320:0.006285:0.004168:0.006285:0.007311:0.008320:0.006285:0.008320:0.009509:0.008320:0.004250:0.004250:0.005275:0.006057:0.004250:0.004168:0.014670:0.007311:0.004168:0.007311:0.008320:0.009509:0.006285:0.004250:0.008320:0.007311:0.006285:0.004168:0.005275:0.009509:0.007311:0.004168:0.006285:0.007311:0.007311:0.007311:0.009509:0.005275:0.004168:0.008320:0.008174:0.005275:0.008320:0.004168:0.005275:0.008304:0.003452
forecast rather than old data like in any other forecasting tools.:@0.076921:0.226639:0.502078:0.226639:0.502078:0.212885:0.076921:0.212885:0.004233:0.008304:0.006269:0.007294:0.007294:0.008304:0.006269:0.005259:0.003452:0.006122:0.008157:0.005259:0.009492:0.007294:0.006269:0.003452:0.005259:0.009492:0.008304:0.009492:0.003452:0.008304:0.004233:0.008304:0.003452:0.008304:0.008157:0.005259:0.008304:0.003452:0.004233:0.004233:0.007815:0.007294:0.003452:0.004233:0.009492:0.003452:0.008304:0.009020:0.008304:0.003452:0.008304:0.005259:0.009492:0.007294:0.006269:0.003452:0.004233:0.008304:0.006269:0.007294:0.007294:0.008304:0.006269:0.005259:0.004233:0.009492:0.008304:0.003452:0.005259:0.008304:0.008304:0.004233:0.006269:0.004233
Traditionally, we denote the observed value as   and smoothed average as  . :@0.092308:0.242610:0.618162:0.242618:0.618162:0.228863:0.092308:0.228855:0.009492:0.006122:0.008304:0.008304:0.004233:0.005259:0.004233:0.008304:0.009492:0.008304:0.004233:0.003761:0.006203:0.004233:0.003452:0.011756:0.007294:0.003452:0.008304:0.007294:0.009492:0.008304:0.005259:0.007294:0.003452:0.005259:0.009492:0.007294:0.003452:0.008304:0.008304:0.006269:0.007294:0.006741:0.007669:0.007294:0.008304:0.003452:0.007994:0.008304:0.004233:0.009492:0.007294:0.003452:0.008304:0.006269:0.003452:0.012479:0.003452:0.008304:0.009492:0.008304:0.003452:0.006269:0.013563:0.008304:0.008304:0.005259:0.009492:0.007294:0.008304:0.003452:0.007669:0.007669:0.007294:0.006122:0.008157:0.007994:0.007294:0.003452:0.008304:0.006269:0.003452:0.015014:0.004233:0.433244
Then, :@0.076931:0.258589:0.120387:0.258589:0.120387:0.244834:0.076931:0.244834:0.009492:0.009492:0.007294:0.009492:0.004233:0.003452
 undefined :@0.098180:0.274568:0.173061:0.274568:0.173061:0.260813:0.098180:0.260813:0.003452:0.009492:0.009492:0.008304:0.007294:0.004152:0.004152:0.009492:0.007294:0.008304:0.003452
and, generalized:@0.092302:0.322492:0.203460:0.322492:0.203460:0.308738:0.092302:0.308738:0.008304:0.009492:0.008304:0.004233:0.003452:0.007994:0.007294:0.009492:0.007294:0.006122:0.008304:0.004233:0.004233:0.006806:0.007294:0.008304
Where, , the smoothing constant, takes the value from the range [0;1):@0.092302:0.354446:0.575208:0.354442:0.575208:0.340687:0.092302:0.340691:0.015289:0.009492:0.007294:0.006269:0.006985:0.004233:0.013754:0.004233:0.003452:0.005259:0.009492:0.007294:0.003452:0.006269:0.013563:0.008304:0.008304:0.005259:0.009492:0.004233:0.009492:0.008304:0.003452:0.007294:0.008304:0.009492:0.006269:0.005259:0.008304:0.009492:0.005259:0.004233:0.003452:0.005259:0.008304:0.007815:0.007294:0.006269:0.003452:0.005259:0.009492:0.007294:0.003452:0.007994:0.008304:0.004233:0.009492:0.007294:0.003452:0.004233:0.006269:0.008304:0.013563:0.003452:0.005259:0.009492:0.007294:0.003452:0.006122:0.008304:0.009492:0.007994:0.007294:0.003452:0.005259:0.009492:0.004233:0.009492:0.326040
In this exponential smoothing model the    is taken as 0.5. The forecasted values of average ROE for the 10years have been :@0.092315:0.370413:0.926478:0.370417:0.926478:0.356662:0.092315:0.356658:0.005259:0.009492:0.003419:0.005259:0.009492:0.004233:0.006269:0.003419:0.006985:0.008304:0.008304:0.008304:0.009492:0.007294:0.009492:0.005259:0.004233:0.008304:0.004233:0.003419:0.006269:0.013563:0.008304:0.008304:0.005259:0.009492:0.004233:0.009492:0.008304:0.003419:0.013563:0.008304:0.008304:0.007294:0.004233:0.003419:0.005259:0.009492:0.007294:0.003452:0.013727:0.003419:0.003419:0.004233:0.006269:0.003419:0.005259:0.008304:0.007815:0.007294:0.009492:0.003419:0.008304:0.006269:0.003419:0.009492:0.004233:0.009492:0.004233:0.002768:0.009492:0.009492:0.007294:0.003419:0.004233:0.008304:0.006269:0.007294:0.007294:0.008304:0.006269:0.005259:0.007294:0.008304:0.003419:0.007994:0.008304:0.004233:0.009492:0.007294:0.006269:0.003419:0.008304:0.006317:0.003419:0.007669:0.007669:0.007294:0.006122:0.008157:0.007994:0.007294:0.003419:0.009541:0.010681:0.008304:0.003419:0.004233:0.008304:0.006269:0.003419:0.005259:0.009492:0.007294:0.003419:0.009492:0.009492:0.007669:0.007294:0.008304:0.006594:0.006269:0.003419:0.009492:0.007669:0.007669:0.007294:0.003419:0.008304:0.007294:0.007294:0.009492:-0.048747
computed and presented in the following table::@0.076930:0.386387:0.393681:0.386387:0.393681:0.372633:0.076930:0.372633:0.007294:0.008304:0.013563:0.008304:0.009492:0.005259:0.007294:0.008304:0.003452:0.008304:0.009492:0.008304:0.003452:0.008304:0.006269:0.007294:0.006269:0.007294:0.009492:0.005259:0.007294:0.008304:0.003452:0.004233:0.009492:0.003452:0.005259:0.009492:0.007294:0.003452:0.004233:0.008304:0.004233:0.004233:0.007994:0.012391:0.004233:0.009492:0.008304:0.003452:0.005259:0.007832:0.008304:0.004233:0.007294:0.004233
Table-2: Forecasted Value of  Average ROE by Exponential Smoothing Model:@0.223110:0.402358:0.792298:0.402358:0.792298:0.388472:0.223110:0.388472:0.009313:0.008743:0.009492:0.005096:0.008483:0.005422:0.010176:0.004412:0.003631:0.008206:0.009330:0.007311:0.008483:0.008304:0.008988:0.007294:0.006269:0.008483:0.009672:0.003631:0.009444:0.008988:0.005096:0.010339:0.008483:0.003631:0.009330:0.005406:0.002703:0.003631:0.010062:0.008076:0.008483:0.007620:0.008516:0.008825:0.008483:0.003631:0.010844:0.012212:0.009672:0.003631:0.009232:0.008304:0.003631:0.009672:0.008646:0.009492:0.009330:0.010518:0.008483:0.010518:0.006269:0.005096:0.008988:0.005096:0.003631:0.008825:0.014589:0.009330:0.009330:0.006269:0.010518:0.005096:0.010518:0.008825:0.003631:0.014931:0.009330:0.009672:0.008483:0.005096
Year:@0.149204:0.423639:0.183250:0.423639:0.183250:0.409752:0.149204:0.409752:0.009118:0.008483:0.008988:0.007457
2007:@0.267868:0.423639:0.308573:0.423639:0.308573:0.409752:0.267868:0.409752:0.010176:0.010176:0.010176:0.010176
2008:@0.334526:0.423639:0.375232:0.423639:0.375232:0.409752:0.334526:0.409752:0.010176:0.010176:0.010176:0.010176
2009:@0.401185:0.423639:0.441890:0.423639:0.441890:0.409752:0.401185:0.409752:0.010176:0.010176:0.010176:0.010176
2010:@0.467844:0.423639:0.508549:0.423639:0.508549:0.409752:0.467844:0.409752:0.010176:0.010176:0.010176:0.010176
2011:@0.534503:0.423639:0.575208:0.423639:0.575208:0.409752:0.534503:0.409752:0.010176:0.010176:0.010176:0.010176
2012:@0.601161:0.423639:0.641866:0.423639:0.641866:0.409752:0.601161:0.409752:0.010176:0.010176:0.010176:0.010176
2013:@0.667820:0.423639:0.708525:0.423639:0.708525:0.409752:0.667820:0.409752:0.010176:0.010176:0.010176:0.010176
2014:@0.734479:0.423639:0.775184:0.423639:0.775184:0.409752:0.734479:0.409752:0.010176:0.010176:0.010176:0.010176
2015:@0.801137:0.423639:0.841843:0.423639:0.841843:0.409752:0.801137:0.409752:0.010176:0.010176:0.010176:0.010176
2016:@0.867796:0.423639:0.908501:0.423639:0.908501:0.409752:0.867796:0.409752:0.010176:0.010176:0.010176:0.010176
Actual Average Of :@0.098502:0.444438:0.237437:0.444438:0.237437:0.430552:0.098502:0.430552:0.011365:0.008304:0.006269:0.010339:0.008988:0.005096:0.003631:0.010062:0.008076:0.008483:0.007620:0.008516:0.008825:0.008483:0.003631:0.012212:0.005406:0.003631
ROE:@0.149790:0.458815:0.182517:0.458815:0.182517:0.444929:0.149790:0.444929:0.010844:0.012212:0.009672
28.96:@0.267054:0.451626:0.309257:0.451626:0.309257:0.437968:0.267054:0.437968:0.009492:0.009492:0.004233:0.009492:0.009492
28.4:@0.338467:0.451626:0.371177:0.451626:0.371177:0.437968:0.338467:0.437968:0.009492:0.009492:0.004233:0.009492
24.97:@0.400387:0.451626:0.442590:0.451626:0.442590:0.437968:0.400387:0.437968:0.009492:0.009492:0.004233:0.009492:0.009492
27.7:@0.471800:0.451626:0.504511:0.451626:0.504511:0.437968:0.471800:0.437968:0.009492:0.009492:0.004233:0.009492
28.7:@0.538459:0.451626:0.571170:0.451626:0.571170:0.437968:0.538459:0.437968:0.009492:0.009492:0.004233:0.009492
27:@0.611989:0.451626:0.630974:0.451626:0.630974:0.437968:0.611989:0.437968:0.009492:0.009492
24.72:@0.667038:0.451626:0.709242:0.451626:0.709242:0.437968:0.667038:0.437968:0.009492:0.009492:0.004233:0.009492:0.009492
24.97:@0.733697:0.451626:0.775900:0.451626:0.775900:0.437968:0.733697:0.437968:0.009492:0.009492:0.004233:0.009492:0.009492
21.61:@0.800356:0.451626:0.842559:0.451626:0.842559:0.437968:0.800356:0.437968:0.009492:0.009492:0.004233:0.009492:0.009492
21.09:@0.867015:0.451626:0.909218:0.451626:0.909218:0.437968:0.867015:0.437968:0.009492:0.009492:0.004233:0.009492:0.009492
Forecasting Value Of :@0.088195:0.478452:0.247678:0.478452:0.247678:0.464566:0.088195:0.464566:0.008206:0.009330:0.007311:0.008483:0.008304:0.008988:0.007294:0.006269:0.005096:0.010518:0.008825:0.003631:0.009444:0.008988:0.005096:0.010339:0.008483:0.003631:0.012212:0.005406:0.003631
ROE:@0.149758:0.492830:0.182485:0.492830:0.182485:0.478943:0.149758:0.478943:0.010844:0.012212:0.009672
28.96:@0.267021:0.485641:0.309224:0.485641:0.309224:0.471887:0.267021:0.471887:0.009492:0.009492:0.004233:0.009492:0.009492
28.68:@0.333680:0.485641:0.375883:0.485641:0.375883:0.471887:0.333680:0.471887:0.009492:0.009492:0.004233:0.009492:0.009492
26.82:@0.400338:0.485641:0.442542:0.485641:0.442542:0.471887:0.400338:0.471887:0.009492:0.009492:0.004233:0.009492:0.009492
27.25:@0.466997:0.485641:0.509200:0.485641:0.509200:0.471887:0.466997:0.471887:0.009492:0.009492:0.004233:0.009492:0.009492
27.96:@0.533656:0.485641:0.575859:0.485641:0.575859:0.471887:0.533656:0.471887:0.009492:0.009492:0.004233:0.009492:0.009492
27.46:@0.600315:0.485641:0.642518:0.485641:0.642518:0.471887:0.600315:0.471887:0.009492:0.009492:0.004233:0.009492:0.009492
26.09:@0.666973:0.485641:0.709176:0.485641:0.709176:0.471887:0.666973:0.471887:0.009492:0.009492:0.004233:0.009492:0.009492
25.53:@0.733632:0.485641:0.775835:0.485641:0.775835:0.471887:0.733632:0.471887:0.009492:0.009492:0.004233:0.009492:0.009492
23.57:@0.800291:0.485641:0.842494:0.485641:0.842494:0.471887:0.800291:0.471887:0.009492:0.009492:0.004233:0.009492:0.009492
22.33:@0.866949:0.485641:0.909153:0.485641:0.909153:0.471887:0.866949:0.471887:0.009492:0.009492:0.004233:0.009492:0.009492
From the above table, it can be interpreted that the Actual average of ROE and Forecasted value of ROE are both declining and :@0.076749:0.514192:0.926363:0.514192:0.926363:0.500438:0.076749:0.500438:0.008157:0.006269:0.008304:0.013563:0.003338:0.005259:0.009492:0.007294:0.003338:0.007832:0.008304:0.007881:0.007669:0.007294:0.003338:0.005259:0.007832:0.008304:0.004233:0.006985:0.004233:0.003338:0.004233:0.005259:0.003338:0.007294:0.008304:0.009492:0.003338:0.008304:0.007294:0.003338:0.004233:0.009492:0.005259:0.007294:0.006513:0.008304:0.006269:0.007294:0.005259:0.007294:0.008304:0.003338:0.005259:0.009492:0.008157:0.005259:0.003338:0.005259:0.009492:0.007294:0.003338:0.011528:0.007294:0.005259:0.009492:0.008304:0.004233:0.003338:0.007669:0.007669:0.007294:0.006122:0.008157:0.007994:0.007294:0.003338:0.008304:0.006317:0.003338:0.009541:0.010681:0.008304:0.003338:0.008304:0.009492:0.008304:0.003338:0.007832:0.008304:0.006269:0.007294:0.007294:0.008304:0.006269:0.005259:0.007294:0.008304:0.003338:0.007994:0.008304:0.004233:0.009492:0.007294:0.003338:0.008304:0.006317:0.003338:0.009541:0.010681:0.008304:0.003338:0.008304:0.006269:0.007294:0.003338:0.008304:0.008304:0.005259:0.009492:0.003338:0.008304:0.007294:0.007294:0.004233:0.004233:0.009492:0.004233:0.009492:0.008304:0.003338:0.008304:0.009492:0.008304:0.003452
followed the bearish trend. In the recent past, i.e. for the year 2015-16 the forecasted average value of ROE is found 22.33% :@0.076749:0.530163:0.926363:0.530163:0.926363:0.516408:0.076749:0.516408:0.004233:0.008304:0.004233:0.004233:0.007994:0.011756:0.007294:0.008304:0.003989:0.005259:0.009492:0.007294:0.003989:0.008304:0.007294:0.008304:0.006269:0.004233:0.006269:0.009492:0.003989:0.005259:0.006269:0.007294:0.009492:0.008304:0.004233:0.003989:0.005259:0.009492:0.003989:0.005259:0.009492:0.007294:0.003989:0.006269:0.007294:0.007294:0.007294:0.009492:0.005259:0.003989:0.008304:0.008304:0.006269:0.005259:0.004233:0.003989:0.004233:0.004233:0.006985:0.004233:0.003989:0.004233:0.008304:0.006269:0.003989:0.005259:0.009492:0.007294:0.003989:0.007669:0.007294:0.008304:0.006269:0.003989:0.009492:0.009492:0.009492:0.009492:0.005259:0.009492:0.009492:0.003989:0.005259:0.009492:0.007294:0.003989:0.004233:0.008304:0.006269:0.007294:0.007294:0.008304:0.006269:0.005259:0.007294:0.008304:0.003989:0.007669:0.007669:0.007294:0.006122:0.008157:0.007994:0.007294:0.003989:0.007994:0.008304:0.004233:0.009492:0.007294:0.003989:0.008304:0.006317:0.003989:0.009541:0.010681:0.008304:0.003989:0.004233:0.006269:0.003989:0.004233:0.008304:0.009492:0.009492:0.008304:0.003989:0.009492:0.009492:0.004233:0.009492:0.009492:0.012553:0.003452
which is higher than the actual average value of ROE i.e. 21.09%.:@0.076749:0.546134:0.521558:0.546134:0.521558:0.532379:0.076749:0.532379:0.011918:0.009492:0.004233:0.007294:0.009492:0.003452:0.004233:0.006269:0.003452:0.009492:0.004233:0.008304:0.009492:0.007294:0.006269:0.003452:0.005259:0.009492:0.008304:0.009492:0.003452:0.005259:0.009492:0.007294:0.003452:0.008304:0.007294:0.005259:0.009492:0.008304:0.004233:0.003452:0.007669:0.007669:0.007294:0.006122:0.008157:0.007994:0.007294:0.003452:0.007994:0.008304:0.004233:0.009492:0.007294:0.003452:0.008304:0.006317:0.003452:0.009541:0.010681:0.008304:0.003452:0.004233:0.004233:0.006985:0.004233:0.003452:0.009492:0.009492:0.004233:0.009492:0.009492:0.012553:0.004233
Graph-2::@0.473347:0.562104:0.541683:0.562104:0.541683:0.548218:0.473347:0.548218:0.011707:0.007620:0.008988:0.009492:0.010518:0.005422:0.010176:0.004412
Above Graph Showing the comparison lines between the Actual average of ROE and Forecasted value of ROE.:@0.092136:0.913547:0.830168:0.913547:0.830168:0.899793:0.092136:0.899793:0.011528:0.008304:0.007881:0.007669:0.007294:0.003452:0.010518:0.006122:0.008157:0.008304:0.009492:0.003452:0.008304:0.009492:0.007994:0.012391:0.004233:0.009492:0.008304:0.003452:0.005259:0.009492:0.007294:0.003452:0.007294:0.008304:0.013563:0.008304:0.008304:0.006269:0.004233:0.006269:0.008304:0.009492:0.003452:0.004233:0.004233:0.009492:0.007294:0.006269:0.003452:0.008304:0.007294:0.005259:0.011756:0.007294:0.007294:0.009492:0.003452:0.005259:0.009492:0.007294:0.003452:0.011528:0.007294:0.005259:0.009492:0.008304:0.004233:0.003452:0.007669:0.007669:0.007294:0.006122:0.008157:0.007994:0.007294:0.003452:0.008304:0.006317:0.003452:0.009541:0.010681:0.008304:0.003452:0.008304:0.009492:0.008304:0.003452:0.007832:0.008304:0.006269:0.007294:0.007294:0.008304:0.006269:0.005259:0.007294:0.008304:0.003452:0.007994:0.008304:0.004233:0.009492:0.007294:0.003452:0.008304:0.006317:0.003452:0.009541:0.010681:0.008304:0.004233
CAPITAL  MARKET:@0.191685:0.066064:0.439086:0.066064:0.439086:0.043316:0.191685:0.043316:0.020016:0.020016:0.018822:0.010377:0.016000:0.020016:0.013264:0.003951:0.010377:0.022426:0.020016:0.020016:0.020016:0.018822:0.013264
GST:@0.409086:0.179051:0.440546:0.179051:0.440546:0.163769:0.409086:0.163769:0.011687:0.009226:0.010547