Idolization and ramification between globalization and ecological footprints: evidence from quantile-on-quantile approach

Sharif, Arshian; Afshan, Sahar; Qureshi, Muhammad Asif

doi:10.1007/s11356-019-04351-7

Cited by 150 publications

(60 citation statements)

References 35 publications

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“…Similarly, from Table 4 , the non-linearity among series is further endorsed by BDS (1996) test, where the null hypothesis of non-linearity is accepted in both series across all States. Based on the JB test and BDS test of nonlinearity, it is evident that both variables having a nonlinearity in all states, therefore, the estimations of quantiles are recommended following ( Shahbaz et al, 2018 ; Mishra et al, 2019 ; Sharif et al, 2019a ; Sharif et al 2019b , 2020 ; Chang et al, 2020 ; Arain et al, 2020 ).…”

Section: Methodsmentioning

confidence: 99%

Asymmetric link between environmental pollution and COVID-19 in the top ten affected states of US: A novel estimations from quantile-on-quantile approach

Razzaq

Sharif

Aziz

et al. 2020

Environmental Research

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128

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This study draws the link between COVID-19 and air pollution (ground ozone O 3 ) from February 29, 2020 to July 10, 2020 in the top 10 affected States of the US. Utilizing quantile-on-quantile (QQ) estimation technique, we examine in what manner the quantiles of COVID-19 affect the quantiles of air pollution and vice versa. The primary findings confirm overall dependence between COVID-19 and air pollution. Empirical results exhibit a strong negative effect of COVID-19 on air pollution in New York, Texas, Illinois, Massachusetts, and Pennsylvania; especially at medium to higher quantiles, while New Jersey, Illinois, Arizona, and Georgia show strong negative effect mainly at lower quantiles. Contrarily, COVID-19 positively affects air pollution in Pennsylvania at extreme lower quantiles. On the other side, air pollution predominantly caused to increase in the intensity of COVID-19 cases across all states except lower quantiles of Massachusetts, and extreme higher quantiles of Arizona and New Jersey, where this effect becomes less pronounced or negative. Concludingly, a rare positive fallout of COVID-19 is reducing environmental pressure, while higher environmental pollution causes to increase the vulnerability of COVID-19 cases. These findings imply that air pollution is at the heart of chronic diseases, therefore the state government should consider these asymmetric channels and introduce appropriate policy measures to reset and control atmospheric emissions.

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Section: Methodsmentioning

confidence: 99%

Asymmetric link between environmental pollution and COVID-19 in the top ten affected states of US: A novel estimations from quantile-on-quantile approach

Razzaq

Sharif

Aziz

et al. 2020

Environmental Research

Self Cite

128

View full text Add to dashboard Cite

show abstract

“…In this study, we adopt the quantile on quantile approach (QQR) to investigate the effect of COVID-19 on the stock market of Pakistan (KSE 100 index). This approach is proposed by Sim and Zhou (2015) (Sharif, Afshan, & Qureshi, 2019) QQR is a combination of nonparametric estimation and quantile regression. It can also be applied on the nonnormal dataset.…”

Section: Quantile-on-quantile Estimationmentioning

confidence: 99%

The impact of COVID ‐19 on Karachi stock exchange: Quantile‐on‐quantile approach using secondary and predicted data

2020

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During the pandemic, the stock markets of developed countries have reported a jittery trend. The current study focuses on the impact of COVID-19 on Pakistani stock market, which belongs to a developing economy. The findings of current study have contradicted with the previous studies, which reported an adverse effect of COVID-19 on developed stock markets. We conclude that KSE-100 index has confirmed positive increment in stock returns. In addition, by using three predicted scenarios of COVID-19, we report the significant increase in KSE-100 index. However, it seems clear that the timely intervention of Pakistani government has safeguard the investors from utter disaster of stock market.

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“…In another study, Shahbaz et al ( 2018 ) found that energy consumption is positively related to economic growth. Sharif et al ( 2019 ), Chang et al ( 2020 ), and Jiang et al ( 2020 ) have since used the QQ method to explore globalization, stock markets, and oil. Lin and Su ( 2020 ) applied the QQ method to investigate the relationship between oil market uncertainty and stock markets; overall, negative effects were observed in most sample countries, especially during the depression of the Islamic stock market.…”

Section: Literature Reviewmentioning

confidence: 99%

Spillover and quantile linkage between oil price shocks and stock returns: new evidence from G7 countries

Jiang

Tian

2020

Financ Innov

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The link between crude oil price and stock returns of the Group of Seven (G7) countries (Canada, France, Germany, Italy, Japan, the United Kingdom, and the United States) was analyzed in this study using monthly data from January 1999 to March 2020. We adopt a similar approach to Kilian (Am Econ Rev 99(3):1053–1069, 2009) and construct a structural vector autoregression framework to decompose crude oil price shocks into oil supply shock, oil aggregate demand shock, and oil-specific demand shock. We then explore the distinct effects of different kinds of oil price shocks from various sources. Based on the decomposed oil price shocks, we apply the connectedness approach and QQ regression to find time-varying co-movements and tail dependence between oil price shocks and G7 stock returns. There is no general correlation between the decomposed oil prices and stock returns in these countries. The effects of oil price shocks on stock returns across different stock market conditions appear to be heterogeneous. Oil supply shock appears to be a net transmitter of spillover effects for all G7 countries within the sample period.

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Idolization and ramification between globalization and ecological footprints: evidence from quantile-on-quantile approach

Cited by 150 publications

References 35 publications

Asymmetric link between environmental pollution and COVID-19 in the top ten affected states of US: A novel estimations from quantile-on-quantile approach

Asymmetric link between environmental pollution and COVID-19 in the top ten affected states of US: A novel estimations from quantile-on-quantile approach

The impact of COVID ‐19 on Karachi stock exchange: Quantile‐on‐quantile approach using secondary and predicted data

Spillover and quantile linkage between oil price shocks and stock returns: new evidence from G7 countries

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