Fractal dimension analysis of financial performance of resulting companies after mergers and acquisitions

Shubham Kumar Verma and Satish Kumar

Chaos, Solitons & Fractals, 2024, vol. 181, issue C

Abstract: This study primarily focuses on financial performance after mergers and acquisitions of resulting companies. We have taken the eleven years data of resulting companies of mergers and acquisitions took place in the financial years 2016-17 & 2017-18 from the Bloomberg database. In which, we analyse pre-and post-mergers and acquisitions, considering four years data of pre- and four years post. Further, analyze the factor influencing financial performance and how to overcome them with their long term strategy. In this study, we run regression model to get coefficients, and further use that to put into interpolation fractal function to elaborate the conditions of the mergers and acquisitions. We find the most of the companies have their positive impact on financial performance after mergers and acquisitions. However, overall impact may be reflected in net income which leads to increase in their annual accounts of the particular firms. Some of the factors show the big troubles due to non-avoidable elements. Accordingly, we evaluate overall impact on their financial performance elements i.e. net income, EBIT, etc. of resulting companies.

Keywords: Financial performance; Mergers and acquisitions; IFS; Fractal interpolation; α-fractal function; Box dimension (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:181:y:2024:i:c:s0960077924002352

DOI: 10.1016/j.chaos.2024.114683

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