A forecasting framework for the Indian healthcare sector index Online publication date: Wed, 28-Sep-2022
by Jaydip Sen
International Journal of Business Forecasting and Marketing Intelligence (IJBFMI), Vol. 7, No. 4, 2022
Abstract: Forecasting of future stock prices is a complex and challenging research problem due to the random variations that the time series of these variables exhibit. In this work, we study the behaviour exhibited by the healthcare sector's time series of India in the Bombay Stock Exchange (BSE). We collect the historical monthly index values of the BSE S&P healthcare sector from January 2010 to December 2021. The time series is decomposed into its three components trend, seasonality, and random. The component values reveal some important characteristics of the sector in the pre-pandemic and peri-pandemic times. We also propose five predictive models based on the exponential smoothing and autoregressive integrated moving average techniques for forecasting the monthly index values of 2021 based on the historical index values from January 2010 to December 2020. Extensive results are presented on the performances of the models.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Forecasting and Marketing Intelligence (IJBFMI):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook