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Higher-order moments spillovers among energy, carbon and tourism markets: Time- and frequency-domain evidence
by
Yang, Shixiong
, Gao, Wang
in
Asset allocation
/ Biology and Life Sciences
/ Carbon
/ Carbon - analysis
/ Chemical industry
/ Clean energy
/ Climate change
/ Commodity futures
/ Communications equipment
/ COVID-19
/ COVID-19 - epidemiology
/ Discounted cash flow
/ Disease transmission
/ Economic aspects
/ Emissions
/ Emitters
/ Energy
/ Energy consumption
/ Energy industry
/ Energy prices
/ Engineering and Technology
/ Environmental aspects
/ Frequency domain analysis
/ Geopolitics
/ Herbicides
/ Humans
/ Investments
/ Investors
/ Kurtosis
/ Literature reviews
/ Medicine and Health Sciences
/ Methods
/ Natural Gas
/ Natural gas industry
/ Pandemics
/ Pesticides industry
/ Physical Sciences
/ Risk assessment
/ Risk management
/ Russia
/ SARS-CoV-2 - isolation & purification
/ Skewness
/ Social aspects
/ Social Sciences
/ Stochastic models
/ Stocks
/ Tourism
/ Travel industry
/ Volatility
2024
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Higher-order moments spillovers among energy, carbon and tourism markets: Time- and frequency-domain evidence
by
Yang, Shixiong
, Gao, Wang
in
Asset allocation
/ Biology and Life Sciences
/ Carbon
/ Carbon - analysis
/ Chemical industry
/ Clean energy
/ Climate change
/ Commodity futures
/ Communications equipment
/ COVID-19
/ COVID-19 - epidemiology
/ Discounted cash flow
/ Disease transmission
/ Economic aspects
/ Emissions
/ Emitters
/ Energy
/ Energy consumption
/ Energy industry
/ Energy prices
/ Engineering and Technology
/ Environmental aspects
/ Frequency domain analysis
/ Geopolitics
/ Herbicides
/ Humans
/ Investments
/ Investors
/ Kurtosis
/ Literature reviews
/ Medicine and Health Sciences
/ Methods
/ Natural Gas
/ Natural gas industry
/ Pandemics
/ Pesticides industry
/ Physical Sciences
/ Risk assessment
/ Risk management
/ Russia
/ SARS-CoV-2 - isolation & purification
/ Skewness
/ Social aspects
/ Social Sciences
/ Stochastic models
/ Stocks
/ Tourism
/ Travel industry
/ Volatility
2024
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Higher-order moments spillovers among energy, carbon and tourism markets: Time- and frequency-domain evidence
by
Yang, Shixiong
, Gao, Wang
in
Asset allocation
/ Biology and Life Sciences
/ Carbon
/ Carbon - analysis
/ Chemical industry
/ Clean energy
/ Climate change
/ Commodity futures
/ Communications equipment
/ COVID-19
/ COVID-19 - epidemiology
/ Discounted cash flow
/ Disease transmission
/ Economic aspects
/ Emissions
/ Emitters
/ Energy
/ Energy consumption
/ Energy industry
/ Energy prices
/ Engineering and Technology
/ Environmental aspects
/ Frequency domain analysis
/ Geopolitics
/ Herbicides
/ Humans
/ Investments
/ Investors
/ Kurtosis
/ Literature reviews
/ Medicine and Health Sciences
/ Methods
/ Natural Gas
/ Natural gas industry
/ Pandemics
/ Pesticides industry
/ Physical Sciences
/ Risk assessment
/ Risk management
/ Russia
/ SARS-CoV-2 - isolation & purification
/ Skewness
/ Social aspects
/ Social Sciences
/ Stochastic models
/ Stocks
/ Tourism
/ Travel industry
/ Volatility
2024
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Higher-order moments spillovers among energy, carbon and tourism markets: Time- and frequency-domain evidence
Journal Article
Higher-order moments spillovers among energy, carbon and tourism markets: Time- and frequency-domain evidence
2024
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Overview
This paper uses the GJRSK model to estimate the high-order moments of energy (oil, natural gas, and coal), the carbon market, and tourism stocks. Then, it utilizes a novel TVP-VAR time-frequency connectedness approach to examine higher-order moments spillovers among them. The results show a strong connectedness among the three markets. The energy market is the emitter of volatility, skewness and kurtosis spillovers; tourism stock is the receiver; and the carbon market is the transmitter. From a time-domain perspective, the higher-order moments spillovers of the three markets are time-varying, especially during extreme periods, where the energy market’s spillover effects on tourism stocks are significantly enhanced, indicating that tourism stocks bear a greater risk at leptokurtosis and fat-tail moment. From a frequency-domain perspective, the long-term asymmetric spillovers of oil, natural gas, and tourism markets on the carbon market are more pronounced than the short-term. Moreover, the COVID-19 pandemic exacerbated the higher-moment spillovers of energy and tourism stocks on the carbon market. Meanwhile, the Russia-Ukraine conflict led to extreme risk transmission within the energy market. These findings have significant implications for cross-industry investors and green finance risk management.
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