2021
DOI: 10.26573/2021.15.1.4
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Indian Stock Market Volatility using GARCH Models: A Case Study of NSE

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Cited by 2 publications
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“…The coefficient has a likely indication both in EGARCH (negative, significant) and TGARCH (positive, significant) models. EGARCH (1, 1) model fits better to capture the asymmetric volatility [64]. Another study by Sathyanarayana et al, [65] tried to explore the impact of a spillover effect from commodity (crude prices) on the stock market and found a significant impact of commodity spillover on the stock market.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The coefficient has a likely indication both in EGARCH (negative, significant) and TGARCH (positive, significant) models. EGARCH (1, 1) model fits better to capture the asymmetric volatility [64]. Another study by Sathyanarayana et al, [65] tried to explore the impact of a spillover effect from commodity (crude prices) on the stock market and found a significant impact of commodity spillover on the stock market.…”
Section: Literature Reviewmentioning
confidence: 99%