The Experts below are selected from a list of 81687 Experts worldwide ranked by ideXlab platform
Muhammad Shahbaz - One of the best experts on this subject based on the ideXlab platform.
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the renewable energy consumption environmental degradation nexus in top 10 polluted countries fresh insights from Quantile on Quantile regression approach
Renewable Energy, 2020Co-Authors: Arshian Sharif, Muhammad Shahbaz, Shekhar Mishra, Avik Sinha, Zhilun Jiao, Sahar AfshanAbstract:This examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990 to 2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou [1] and Granger causality in Quantiles developed by Troster [2] are applied. In particular, we examine in what manners, Quantiles of renewable energy consumption affect the Quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in Quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.
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the renewable energy consumption environmental degradation nexus in top 10 polluted countries fresh insights from Quantile on Quantile regression approach
MPRA Paper, 2019Co-Authors: Arshian Sharif, Muhammad Shahbaz, Shekhar Mishra, Avik Sinha, Zhilun Jiao, Sahar AfshanAbstract:This empirical examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990-2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou (2015) and Granger causality in Quantiles developed by Troster (2018) are applied. In particular, we examine in what manners, Quantiles of renewable energy consumption affect the Quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in Quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.
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distribution specific dependence and causality between industry level u s credit and stock markets
Journal of International Financial Markets Institutions and Money, 2018Co-Authors: Syed Jawad Hussain Shahzad, Walid Mensi, Shawkat Hammoudeh, Mehmet Balcilar, Muhammad ShahbazAbstract:This paper examines the dependence and causal nexuses between ten U.S. credit default swaps and their corresponding stock sectoral markets, using the Quantile-on-Quantile (QQ) approach and the nonparametric causality-in-Quantiles tests. The results, using the QQ approach, show asymmetric negative association between credit and markets for all industries and that the link depends on both the sign and size of the stock market shocks (i.e., bullish or bearish conditions in the CDS and/or stock markets). The sensitivity of CDS returns to stock markets shocks is higher in the extreme Quantiles. Using the nonparametric causality-in-Quantile tests, we find evidence of causality-in-mean from stock to CDS only for the Financial (in average and upper Quantiles), Consumer Services and Oil & Gas sectors (only for the middle Quantile i.e., 0.5). In addition, the causality-in-mean from the CDS to stock markets is only found for the Financial and Telecommunication sectors in the extreme lower Quantiles. Finally, we find a bidirectional Granger causality-in-variance for all the CDS-equity sector pairs.
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Disaggregating the correlation under bearish and bullish markets: A Quantile-Quantile approach
Economics Bulletin, 2016Co-Authors: Syed Jawad Hussain Shahzad, Saba Ameer, Muhammad ShahbazAbstract:We disaggregate the correlation between S&P 500, U.S. bond, oil, commodities and gold returns under bearish and bullish market states. In doing so, we apply a novel Quantile-on-Quantile (QQ) approach, on the monthly data from January 1982 to December 2015, to construct correlation estimates between the Quantile of S&P 500 and Quantile of other markets. This approach captures the dependence between the distributions of U.S. stock return and other markets and uncovers two nuance features. First, higher dependence of U.S. bond and Gold with U.S. stock market returns is found when the U.S. stock market is bullish (i.e. at upper U.S. return Quantiles). Second, higher dependence of U.S. commodities and oil with U.S. stock market returns exists when the U.S. stock market is bearish (i.e. at lower U.S. return Quantiles). Finally, the relationship between U.S equities and other investment markets is asymmetric.
Sahar Afshan - One of the best experts on this subject based on the ideXlab platform.
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the renewable energy consumption environmental degradation nexus in top 10 polluted countries fresh insights from Quantile on Quantile regression approach
Renewable Energy, 2020Co-Authors: Arshian Sharif, Muhammad Shahbaz, Shekhar Mishra, Avik Sinha, Zhilun Jiao, Sahar AfshanAbstract:This examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990 to 2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou [1] and Granger causality in Quantiles developed by Troster [2] are applied. In particular, we examine in what manners, Quantiles of renewable energy consumption affect the Quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in Quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.
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the renewable energy consumption environmental degradation nexus in top 10 polluted countries fresh insights from Quantile on Quantile regression approach
MPRA Paper, 2019Co-Authors: Arshian Sharif, Muhammad Shahbaz, Shekhar Mishra, Avik Sinha, Zhilun Jiao, Sahar AfshanAbstract:This empirical examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990-2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou (2015) and Granger causality in Quantiles developed by Troster (2018) are applied. In particular, we examine in what manners, Quantiles of renewable energy consumption affect the Quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in Quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.
Arshian Sharif - One of the best experts on this subject based on the ideXlab platform.
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the renewable energy consumption environmental degradation nexus in top 10 polluted countries fresh insights from Quantile on Quantile regression approach
Renewable Energy, 2020Co-Authors: Arshian Sharif, Muhammad Shahbaz, Shekhar Mishra, Avik Sinha, Zhilun Jiao, Sahar AfshanAbstract:This examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990 to 2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou [1] and Granger causality in Quantiles developed by Troster [2] are applied. In particular, we examine in what manners, Quantiles of renewable energy consumption affect the Quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in Quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.
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the renewable energy consumption environmental degradation nexus in top 10 polluted countries fresh insights from Quantile on Quantile regression approach
MPRA Paper, 2019Co-Authors: Arshian Sharif, Muhammad Shahbaz, Shekhar Mishra, Avik Sinha, Zhilun Jiao, Sahar AfshanAbstract:This empirical examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990-2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou (2015) and Granger causality in Quantiles developed by Troster (2018) are applied. In particular, we examine in what manners, Quantiles of renewable energy consumption affect the Quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in Quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.
Avik Sinha - One of the best experts on this subject based on the ideXlab platform.
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the renewable energy consumption environmental degradation nexus in top 10 polluted countries fresh insights from Quantile on Quantile regression approach
Renewable Energy, 2020Co-Authors: Arshian Sharif, Muhammad Shahbaz, Shekhar Mishra, Avik Sinha, Zhilun Jiao, Sahar AfshanAbstract:This examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990 to 2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou [1] and Granger causality in Quantiles developed by Troster [2] are applied. In particular, we examine in what manners, Quantiles of renewable energy consumption affect the Quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in Quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.
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the renewable energy consumption environmental degradation nexus in top 10 polluted countries fresh insights from Quantile on Quantile regression approach
MPRA Paper, 2019Co-Authors: Arshian Sharif, Muhammad Shahbaz, Shekhar Mishra, Avik Sinha, Zhilun Jiao, Sahar AfshanAbstract:This empirical examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990-2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou (2015) and Granger causality in Quantiles developed by Troster (2018) are applied. In particular, we examine in what manners, Quantiles of renewable energy consumption affect the Quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in Quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.
Shekhar Mishra - One of the best experts on this subject based on the ideXlab platform.
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the renewable energy consumption environmental degradation nexus in top 10 polluted countries fresh insights from Quantile on Quantile regression approach
Renewable Energy, 2020Co-Authors: Arshian Sharif, Muhammad Shahbaz, Shekhar Mishra, Avik Sinha, Zhilun Jiao, Sahar AfshanAbstract:This examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990 to 2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou [1] and Granger causality in Quantiles developed by Troster [2] are applied. In particular, we examine in what manners, Quantiles of renewable energy consumption affect the Quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in Quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.
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the renewable energy consumption environmental degradation nexus in top 10 polluted countries fresh insights from Quantile on Quantile regression approach
MPRA Paper, 2019Co-Authors: Arshian Sharif, Muhammad Shahbaz, Shekhar Mishra, Avik Sinha, Zhilun Jiao, Sahar AfshanAbstract:This empirical examination explored the link between renewable energy utilization and environmental degradation in top-10 polluted countries by using monthly data from 1990-2017. The Quantile-on-Quantile regression (QQ) proposed by Sim and Zhou (2015) and Granger causality in Quantiles developed by Troster (2018) are applied. In particular, we examine in what manners, Quantiles of renewable energy consumption affect the Quantiles of environmental degradation. Our empirical findings unfold overall dependence between renewable energy consumption and ecological deterioration. The findings recommend the presence of a significant negative association between renewable energy consumption and environmental degradation in China, USA, Japan, Canada, Brazil, South Korea and Germany, predominantly in high and low tails but results are totally contrasting in the case of India, Russia and Indonesia. Furthermore, the outcomes of Granger-causality in Quantiles conclude a bidirectional causal link between renewable energy consumption and environmental degradation. The empirical findings suggest that governments should need to subsidize green energy in declining ecological degradation.
