Ciência-IUL
Publicações
Descrição Detalhada da Publicação
To keep faith with homoskedasticity or to go back to heteroskedasticity? The case of FATANG stocks
Título Revista
Nonlinear Dynamics
Ano (publicação definitiva)
2021
Língua
Inglês
País
Países Baixos (Holanda)
Mais Informação
Web of Science®
Scopus
Google Scholar
Esta publicação não está indexada no Google Scholar
Abstract/Resumo
Did the pattern of US stock market volatility change due to COVID-19 or have the US stock markets been less volatile despite the pandemic shock? And as for tech stocks, are they even less volatile than the market overall? In this paper, we provide evidence in favor of a “quietness” in the stock markets, interrupted by COVID-19, by analyzing dispersion, skewness and kurtosis characteristics of the empirical distribution of nine returDid the pattern of US stock market volatility change due to COVID-19 or have the US stock markets been less volatile despite the pandemic shock? And as for tech stocks, are they even less volatile than the market overall? In this paper, we provide evidence in favor of a “quietness” in the stock markets, interrupted by COVID-19, by analyzing dispersion, skewness and kurtosis characteristics of the empirical distribution of nine returns series that include individual FATANG stocks (FAANG: Facebook, Amazon, Apple, Netflix and Google; plus Tesla) and US indices (S&P 500, DJIA and NASDAQ). In comparison with the years before, the daily average return after COVID-19 was 6.48, 2.58 and 2.34 times higher for Tesla, Apple and NASDAQ, respectively. In terms of volatility, the increase was more pronounced in the three stock indices when compared to the individual FATANG stocks. This paper also puts forward a new methodology based on semi-variance and semi-kurtosis. While the value of the ratio between semi-kurtosis and kurtosis is always higher than 70% for the three US stock indices, in the case of stocks the opposite is true, which highlights the importance of large positive returns when compared to negative ones. Structural breaks and conditional heteroskedasticity are also analyzed by considering the traditional symmetrical and asymmetrical GARCH models. We show that in the most recent past, despite the COVID-19 pandemic, the FATANG tech stocks are characterized mostly by conditional homoskedasticity, while the returns of US stock indices are characterized mainly by conditional heteroskedasticity.
Agradecimentos/Acknowledgements
--
Palavras-chave
US stock markets,Volatility,Persistence,Half-life,Semi-kurtosis
Classificação Fields of Science and Technology
- Matemáticas - Ciências Naturais
- Engenharia Civil - Engenharia e Tecnologia
- Engenharia Eletrotécnica, Eletrónica e Informática - Engenharia e Tecnologia
- Engenharia Mecânica - Engenharia e Tecnologia
- Engenharia do Ambiente - Engenharia e Tecnologia
Registos de financiamentos
Referência de financiamento | Entidade Financiadora |
---|---|
UIDB/00315/2020 | Fundação para a Ciência e a Tecnologia |
Contribuições para os Objetivos do Desenvolvimento Sustentável das Nações Unidas
Com o objetivo de aumentar a investigação direcionada para o cumprimento dos Objetivos do Desenvolvimento Sustentável para 2030 das Nações Unidas, é disponibilizada no Ciência-IUL a possibilidade de associação, quando aplicável, dos artigos científicos aos Objetivos do Desenvolvimento Sustentável. Estes são os Objetivos do Desenvolvimento Sustentável identificados pelo(s) autor(es) para esta publicação. Para uma informação detalhada dos Objetivos do Desenvolvimento Sustentável, clique aqui.