Cargando…
Modelling time-varying volatility using GARCH models: evidence from the Indian stock market
Background: In this study, we examined the volatility of the Indian stock market from 2008 to 2021. Owing to the financial crisis, volatility forecasting of the Indian stock market has become crucial for economic and financial analysts. An empirical study of the returns of the NSE indices revealed a...
Autores principales: | Ali, Farman, Suri, Pradeep, Kaur, Tarunpreet, Bisht, Deepa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758444/ https://www.ncbi.nlm.nih.gov/pubmed/36567684 http://dx.doi.org/10.12688/f1000research.124998.2 |
Ejemplares similares
-
Examining the spillover effects of volatile oil prices on Iran’s stock market using wavelet-based multivariate GARCH model
por: Mamipour, Siab, et al.
Publicado: (2022) -
Estimating the volatility of cryptocurrencies during bearish markets by employing GARCH models
por: Kyriazis, Νikolaos A., et al.
Publicado: (2019) -
The Dynamic Volatility Connectedness of Major Environmental, Social, and Governance (ESG) Stock Indices: Evidence Based on DCC-GARCH Model
por: Shaik, Muneer, et al.
Publicado: (2022) -
The impact of crude oil prices on Chinese stock markets and selected sectors: evidence from the VAR-DCC-GARCH model
por: Hashmi, Shabir Mohsin, et al.
Publicado: (2022) -
Modelling stock market volatility.
Publicado: (1996)