Journal of Organisation and Human Behaviour

2024 | Volume 13 | Issue 1

Predictive Analytics on Indian Pharmaceutical Sector Through the Application of ARIMA and GARCH

1. Vishweswarsastry V. N. – Manipal Academy Of Higher Education-manipal, Karnataka, India.

2. Santosh B. R. – Manipal Academy Of Higher Education-manipal, Karnataka, India.

3. Guruprasad Desai – Manipal Academy Of Higher Education-manipal, Karnataka, India.

Received
04-Dec-2023 		Accepted
- 		Published
04-Dec-2023
Abstract
A company acquiring an ownership through transfer of resources and technical know-how is essential for a sustainable growth and to face competition in the existing industry. The aim is to study the effect of CAGR on Foreign Direct Investment (FDI) inflows into Indian Pharmaceutical sector, secondly to regress the stock prices of top listed Indian Pharmaceutical sector and finally to analyse the Generalised Auto Regressive Conditional Heteroskedasticity (GARCH) effect on the Stock prices of selected Pharmaceutical sector. The research methodology applied is descriptive, analytical and univariate analysis. Time series tool of Auto Regressive Integrated Moving Averages (ARIMA) and GARCH is applied for generating the output and the major findings from the study is Apollo Hospitals Enterprise Limited, Cipla Ltd and Dr. Reddy’s Laboratories Limited Lab are stationary and optimum model as per information criteria is at ARIMA, (1, 1, 0) for Apollo Hospitals Enterprise Limited and ARIMA (0, 1, 1) for Cipla Limited and Dr. Reddy’s Laboratories Limited Lab.

DOI: https://doi.org/10.21863/jcar/2024.13.1.007

Keywords ARIMA, Foreign Direct Investment, GARCH, Predictive Analytics
Locked
Subscribed
Open Access
Open Access
Articles Journal Info Editorial Board Guidelines Pricing Info Peer Review & Publication Policy Submit Manuscript