|
|
(3.145.111.125)
|
Users online: 11378
|
|
|
|
|
|
Ijournet
|
|
|
|
|
Application of GARCH Models to Forecast Financial Volatility of Daily Returns: An Empirical study on the Indian Stock Market Susruth Mulukalapally* Assistant Professor, Department of Business Management, Bharathi Institute of Business Management, Warangal, Telangana, India *Corresponding Author E-mail: susruthmulukalapally@gmail.com
Online published on 17 July, 2017. Abstract The present study attempts to modelling and forecasting the volatility of the S&P BSE 500 Index returns of Indian stock market, using daily data covering a period from sep. 17. 2007 till Dec. 30. 2016. This study applies GARCH, EGARCH and GARCH-M models to investigate the behavior of stock return volatility for Indian stock market. This study aims to examine the volatility characteristics on Indian stock market that include; clustering volatility, leverage effect and risk premium. This paper shows that the Indian stock market experiences volatility clustering and hence GARCH-type models predict the market volatility better than simple volatility models, like historical average, moving average etc. This study shows volatility forecasted for period of 200 days by using GARCH family models. The study concludes that there is a presence of volatility clustering, evidence of asymmetric and leverage effect on volatility and non-existence of risk premium in the Indian stock market. Top Keywords GARCH, EGARCH, GARCH-M, volatility clustering, leverage effect. Top | |
|
|
|
|
║ Site map
║
Privacy Policy ║ Copyright ║ Terms & Conditions ║
|
|
743,871,276 visitor(s) since 30th May, 2005.
|
All rights reserved. Site designed and maintained by DIVA ENTERPRISES PVT. LTD..
|
Note: Please use Internet Explorer (6.0 or above). Some functionalities may not work in other browsers.
|