Parameters Estimation and New Equations of Financial Data Analytics from Manufacturing Industry by Usingprincipal Component Analysis

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Dr Monika DasharathGorkhe, Krishna ChythanyaNagaraju , Dr. JayasriMuraliIyengar, V.CHITHRA DEVI, N.Subashini

Abstract

This paper focuses on mergers and acquisitions of financial data. It analyses the post and premergers and acquisition services and manufacturing industry from 2011 - 2020. In this regard, the paper discussed step by step procedure for factor analysis.The factors were extracted by measuring the correlation matrix's Eigen values. Variance maximize the transformation matrix's rotation was made to promote the factor loading interpretation. The PC1 and PC2 percentage values and heat map to easy identify which ratio is most important role in Mergers and Acquisition.

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Dr Monika DasharathGorkhe, Krishna ChythanyaNagaraju , Dr. JayasriMuraliIyengar, V.CHITHRA DEVI, N.Subashini. (2021). Parameters Estimation and New Equations of Financial Data Analytics from Manufacturing Industry by Usingprincipal Component Analysis. Annals of the Romanian Society for Cell Biology, 15404–15414. Retrieved from http://annalsofrscb.ro/index.php/journal/article/view/5170
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