How Volatility and Herding of the Stock Markets in the Oceania Region Influence Investors and Policymakers: A Sector-Wise Exploration in Pre and Post-COVID Period
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- Markus Brueckner & Joaquin Vespignani, 2021.
"COVID‐19 Infections and the Performance of the Stock Market: An Empirical Analysis for Australia,"
Economic Papers, The Economic Society of Australia, vol. 40(3), pages 173-193, September.
- Brueckner, Markus & Vespignani, Joaquin, 2020. "Covid-19 infections and the performance of the stock market: an empirical analysis for Australia," Working Papers 2020-06, University of Tasmania, Tasmanian School of Business and Economics.
- Markus Brueckner & Joaquin Vespignani, 2020. "Covid-19 infections and the performance of the stock market: An empirical analysis for Australia," CAMA Working Papers 2020-56, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Markus Brueckner & Joaquin Vespignani, 2020. "Covid-19 Infections and the Performance of the Stock Market: An Empirical Analysis for Australia," ANU Working Papers in Economics and Econometrics 2020-674, Australian National University, College of Business and Economics, School of Economics.
- M. Humayun Kabir, 2018. "Did Investors Herd during the Financial Crisis? Evidence from the US Financial Industry," International Review of Finance, International Review of Finance Ltd., vol. 18(1), pages 59-90, March.
- Bollerslev, Tim, 1986.
"Generalized autoregressive conditional heteroskedasticity,"
Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
- Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
- Uddin, Moshfique & Chowdhury, Anup & Anderson, Keith & Chaudhuri, Kausik, 2021. "The effect of COVID – 19 pandemic on global stock market volatility: Can economic strength help to manage the uncertainty?," Journal of Business Research, Elsevier, vol. 128(C), pages 31-44.
- Kim, Jong-Min & Kim, Dong H. & Jung, Hojin, 2021. "Estimating yield spreads volatility using GARCH-type models," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
- Chen, Rongda & Bao, Weiwei & Jin, Chenglu, 2021. "Investor sentiment and predictability for volatility on energy futures Markets: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 112-129.
- Scarcioffolo, Alexandre R. & Etienne, Xiaoli L., 2021. "Regime-switching energy price volatility: The role of economic policy uncertainty," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 336-356.
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- Zhao, Zichao & Li, Dexuan & Dai, Wensheng, 2023. "Machine-learning-enabled intelligence computing for crisis management in small and medium-sized enterprises (SMEs)," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
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JEL classification:
- R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
- Z0 - Other Special Topics - - General
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