In today’s highly comparative pharmaceutical sector, multiple humanitarian and pricing issues are prevalent within the industry. Mergers and acquisitions (M&A) are perceived to be an essential method for organizational consolidation and value generation. The purpose of this paper is to illustrate via descriptive methodology and t-tests, how a merger can mitigate the effects of fraud in the pharmaceutical sector.
The research focuses on secondary data. This research paper explores the differences in these organizations’ financial metrics using the t-test regression analysis, both pre and post-merger. Secondary data have been used to compile separate financial ratios for five years before and five years after the scandal.
The results indicate a positive outlook for both organizations after the merger. Mergers appear to have a favorable impact on the performance of a company, with the only exception of external variables (laws, controversies, fines, etc.) affecting its post-merger performance.
The paper uses secondary data to test the impact that mergers have on pharmaceutical companies after they have been implicated in corporate malfeasance.
