| _version_ | 1866901922421669888 |
|---|---|
| author | Nidhi, Dhankhar Sunita, Mehla Arti, Gaur Suman, Ghalawat |
| author_facet | Nidhi, Dhankhar Sunita, Mehla Arti, Gaur Suman, Ghalawat |
| contents | <p>The present study aims to examine the return and volatility patterns of the Indian stock market. The analysis is based on daily closing prices of the Nifty 50 index collected from the official website of Investing.com for the period from 1 April 2002 to 31 March 2024. The return and volatility behavior of the market was analyzed using the GARCH model. The results indicate that the Nifty 50 index generated positive and statistically significant returns over the study period. The findings further confirm that the conditional variance of returns is influenced by both lagged error terms and lagged conditional variance, validating the presence of volatility clustering in the Indian stock market. These findings provide important implications for investors and traders in formulating effective investment strategies to achieve abnormal returns.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18414679 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Modelling Stock Market Volatility in India: A GARCH Analysis of the Nifty 50 Index Nidhi, Dhankhar Sunita, Mehla Arti, Gaur Suman, Ghalawat Return, volatility, GARCH, abnormal returns <p>The present study aims to examine the return and volatility patterns of the Indian stock market. The analysis is based on daily closing prices of the Nifty 50 index collected from the official website of Investing.com for the period from 1 April 2002 to 31 March 2024. The return and volatility behavior of the market was analyzed using the GARCH model. The results indicate that the Nifty 50 index generated positive and statistically significant returns over the study period. The findings further confirm that the conditional variance of returns is influenced by both lagged error terms and lagged conditional variance, validating the presence of volatility clustering in the Indian stock market. These findings provide important implications for investors and traders in formulating effective investment strategies to achieve abnormal returns.</p> |
| title | Modelling Stock Market Volatility in India: A GARCH Analysis of the Nifty 50 Index |
| topic | Return, volatility, GARCH, abnormal returns |
| url | https://doi.org/10.5281/zenodo.18414679 |