Use of OLS Regression Model as Predictor to Compute Excessive Returns in ESM

Open Offer events are helpful for investors to obtain the necessary sustainable wealth with the aid of cutting-edge machine learning algorithms. Open Offer is a statutory instrument for the firms to achieve the desired ownership in the target companies. The focus of the current analysis was the 697 open offer occasions for businesses. The Stock Exchange of Bombay was the listing place. The research ran from 2019 to 2023 for five years. The final prediction analysis for sustainable wealth generation on 229 organizations was done after the first investigation, which used the standardized event research approach. The criteria for inclusion and exclusion were utilized. The report's data gathering processes for each organization used a range of statistical techniques, such as Abnormal by applying the inclusion-exclusion criteria. To calculate the wealth in the event window, the study utilized a variety of statistical procedures, such as average abnormal returns, cumulative average of unacceptable returns, total of unusual returns, and to the data set of each individual firm independently. On the other hand, several tests, including the BMP, Patell Z, Corrado, T, and sign tests, were used to evaluate hypotheses to look at noteworthy findings for sustainable wealth. The study discovered substantial and long-term wealth production in the majority of Open Offer events, which empowers minority investors