Dynamic Spillovers Between International Crude Oil Market and China's Commodity Sectors: Evidence From Time-Frequency Perspective of Stochastic Volatility
We study the time-frequency dynamics of stochastic volatility spillovers between international crude oil markets and China's commodity sectors in the spectral representation framework of generalized forecast error variance decomposition (GFEVD). We find evidence that international crude oil mar...
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2020-04-01
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| Series: | Frontiers in Energy Research |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fenrg.2020.00045/full |
| _version_ | 1818311887177121792 |
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| author | Zhenghui Li Yaya Su |
| author_facet | Zhenghui Li Yaya Su |
| author_sort | Zhenghui Li |
| collection | DOAJ |
| description | We study the time-frequency dynamics of stochastic volatility spillovers between international crude oil markets and China's commodity sectors in the spectral representation framework of generalized forecast error variance decomposition (GFEVD). We find evidence that international crude oil markets has significant volatility spillover effects on China's bulk commodity markets, and the volatility spillovers are sensitive to extreme geopolitical or financial events. The net spillovers of international oil markets are almost positive and driven mainly by short-term components (within a week). However, uncertain financial factors from China such as the market-oriented reform in 2013 and the stock disaster in 2015 adversely affect the net oil-commodity volatility spillovers through the medium-term components (week to a month) and long-term components (month to a year). Moreover, the volatility spillover effects of crude oil prices on different commodity sectors in China are heterogeneous. Metal, coal coke, and steel ore and energy commodity sectors are more affected by crude oil prices, whereas nonmetal building materials and agricultural commodities are less affected. These outcomes implement necessary implications for investors and policymakers. |
| first_indexed | 2024-12-13T08:09:05Z |
| format | Article |
| id | doaj.art-8dce85df208e4bf08cebdf8967ecb97e |
| institution | Directory Open Access Journal |
| issn | 2296-598X |
| language | English |
| last_indexed | 2024-12-13T08:09:05Z |
| publishDate | 2020-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Energy Research |
| spelling | doaj.art-8dce85df208e4bf08cebdf8967ecb97e2022-12-21T23:54:16ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2020-04-01810.3389/fenrg.2020.00045528314Dynamic Spillovers Between International Crude Oil Market and China's Commodity Sectors: Evidence From Time-Frequency Perspective of Stochastic VolatilityZhenghui Li0Yaya Su1Guangzhou International Institute of Finance and Guangzhou University, Guangzhou, ChinaCollege of Finance and Statistics, Hunan University, Changsha, ChinaWe study the time-frequency dynamics of stochastic volatility spillovers between international crude oil markets and China's commodity sectors in the spectral representation framework of generalized forecast error variance decomposition (GFEVD). We find evidence that international crude oil markets has significant volatility spillover effects on China's bulk commodity markets, and the volatility spillovers are sensitive to extreme geopolitical or financial events. The net spillovers of international oil markets are almost positive and driven mainly by short-term components (within a week). However, uncertain financial factors from China such as the market-oriented reform in 2013 and the stock disaster in 2015 adversely affect the net oil-commodity volatility spillovers through the medium-term components (week to a month) and long-term components (month to a year). Moreover, the volatility spillover effects of crude oil prices on different commodity sectors in China are heterogeneous. Metal, coal coke, and steel ore and energy commodity sectors are more affected by crude oil prices, whereas nonmetal building materials and agricultural commodities are less affected. These outcomes implement necessary implications for investors and policymakers.https://www.frontiersin.org/article/10.3389/fenrg.2020.00045/fullcrude oil pricesbulk commodity marketsstochastic volatilityvolatility spillover effectsfrequency decomposition |
| spellingShingle | Zhenghui Li Yaya Su Dynamic Spillovers Between International Crude Oil Market and China's Commodity Sectors: Evidence From Time-Frequency Perspective of Stochastic Volatility Frontiers in Energy Research crude oil prices bulk commodity markets stochastic volatility volatility spillover effects frequency decomposition |
| title | Dynamic Spillovers Between International Crude Oil Market and China's Commodity Sectors: Evidence From Time-Frequency Perspective of Stochastic Volatility |
| title_full | Dynamic Spillovers Between International Crude Oil Market and China's Commodity Sectors: Evidence From Time-Frequency Perspective of Stochastic Volatility |
| title_fullStr | Dynamic Spillovers Between International Crude Oil Market and China's Commodity Sectors: Evidence From Time-Frequency Perspective of Stochastic Volatility |
| title_full_unstemmed | Dynamic Spillovers Between International Crude Oil Market and China's Commodity Sectors: Evidence From Time-Frequency Perspective of Stochastic Volatility |
| title_short | Dynamic Spillovers Between International Crude Oil Market and China's Commodity Sectors: Evidence From Time-Frequency Perspective of Stochastic Volatility |
| title_sort | dynamic spillovers between international crude oil market and china s commodity sectors evidence from time frequency perspective of stochastic volatility |
| topic | crude oil prices bulk commodity markets stochastic volatility volatility spillover effects frequency decomposition |
| url | https://www.frontiersin.org/article/10.3389/fenrg.2020.00045/full |
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