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Asymmetry and leverage with news impact curve perspective in Australian stock returns' volatility during COVID-19

Iqbal, Najam; Manzoor, Muhammad Saqib; Bhatti, Muhammad … - In: Journal of risk and financial management : JRFM 14 (2021) 7, pp. 1-15

(EGARCH) model to capture asymmetry and allegedly leverage. We proxy the news related to the negative effect of COVID-19 on … 2020 to 29 December 2020. The empirical results suggest the EGARCH model fits better in capturing asymmetry and leverage … that the EGARCH model with volatility equation without news demonstrates a larger (smaller) leverage effect of the negative …

Persistent link: https://www.econbiz.de/10012622818

Volatility spillover effects during pre-and-post COVID-19 outbreak on Indian market from the USA, China, Japan, Germany, and Australia

Thangamuthu, Mohanasundaram; Maheshwari, Suneel; Naik, … - In: Journal of risk and financial management : JRFM 15 (2022) 9, pp. 1-15

We examined volatility spillover effects from five prominent global stock markets to India's stock market during the pre-and-post COVID-19 outbreak using daily adjusted closing prices between January 2019 and September 2021 from six capital markets. The structural breakpoint was identified as 23...

Persistent link: https://www.econbiz.de/10013397677

The effect of COVID-19 on cryptocurrencies and the stock market volatility : a two-stage DCC-EGARCH model analysis

Ampountolas, Apostolos - In: Journal of risk and financial management : JRFM 16 (2023) 1, pp. 1-17

exponential GARCH (EGARCH) model with an integrated dynamic conditional correlation (DCC) approach to measure the impact on the …-stage multivariate EGARCH model's results show that the conditional volatilities of both asset portfolios surge more after positive news …

Persistent link: https://www.econbiz.de/10014295230

COVID-19 pandemic & financial market volatility : evidence from GARCH models

Khan, Maaz; Kayani, Umar Nawaz; Khan, Mrestyal; Mughal, … - In: Journal of risk and financial management : JRFM 16 (2023) 1, pp. 1-20

-19 pandemic. We applied the GARCH (1, 1), GJR-GARCH (1, 1), and EGARCH (1, 1) econometric models on the daily time series … positive asymmetric behavior during the pandemic. Apart from this, the results also reveal that EGARCH is the most appropriate …

Persistent link: https://www.econbiz.de/10014289566

Modelling and forecasting the volatility of the portuguese stock index PSI-20

Caiado, Jorge - Volkswirtschaftliche Fakultät, … - 2004

Portuguese Stock Index PSI-20. By using simple GARCH, GARCH-M, Exponential GARCH (EGARCH) and Threshold ARCH (TARCH) models, we …

Persistent link: https://www.econbiz.de/10005790340