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Journal of Information and Optimization Sciences cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667
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The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to: • Information Sciences • Optimization Sciences • Control Theory • Operational Research • Decision Sciences • Information Theory • Information Technology • Computer Networks and Communications • Mathematical Programming • Modelling and Simulation • Database Management • Applications to Engineering Sciences • Applications to Technology

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Open Access Research Article

Mathematical data analytic model for investment patterns assessment in stocks of selected sectors

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pp. 467–474Vol. 44Issue 3April 2023DOI: 10.47974/JIOS-1405XML
Published Online:
01 Apr 2023
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1405
Pages:
467–474

Abstract

The investment patterns adopted by various Companies include either internal or external sources of funds, to invest in diverse options within the capital market and money market instruments. This paper is to propose a mathematical analytic model that explores corporate investment patterns and their subsequent impact on profitability, borrowings, and other parameters of corporate health. Specifically, the paper intends to examine the immediate effect of investments on the company’s Profit After Tax (PAT), excluding investments in Fixed Assets. Furthermore, the study seeks to provide a mathematical comparative analysis using collected data on Retained Earnings, a critical component of profitability, and investments. By suggesting a mathematical data analytic model, this research paper also addresses the reasons why many businesses continue to rely on outdated methods and conventional choices, apart from Fixed Assets.

Keywords

Subject Classifications

91-1091G1591G70

References

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