Capturing the stock market volatility: a study of sectoral indices in India using symmetric GARCH models
by Aastha Khera; Anisha Goyal; Miklesh Prasad Yadav
International Journal of Management Practice (IJMP), Vol. 15, No. 6, 2022

Abstract: Investors are not only concerned about the returns but they also equally bother about the risk. In this paper, GARCH (1, 1) and GARCH-in-mean models have been used for predicting the volatility of various sectoral indexes. Daily closing prices of 11 indexes for the last six years are considered for the study. The period of six years ranging from 1 January 2014 to 31 December 2019 is being enveloped for this study. It is found that five indexes showed the presence of the ARCH effect. Then symmetric GARCH models are applied on these five indexes namely Nifty Auto, Nifty It, Nifty Metal, Nifty Media, and Nifty Realty. Coefficients of ARCH and GARCH came out to be significant after applying the GARCH (1, 1) model. The overall persistency of shock is largest in Nifty Media stock return and lowest in case of Nifty Realty stock returns as their parameters sum is highest and lowest respectively.

Online publication date: Fri, 28-Oct-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
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 Management Practice (IJMP):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your 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