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Issue title: Information Sciences and Data Transmission of Data
Guest editors: Juan Luis García Guirao
Article type: Research Article
Authors: Tian, Chenxiaoa | Zhang, Baoshuaib; * | Duan, Junb
Affiliations: [a] School of Banking and Finance, University of International Business and Economics, Beijing, China | [b] School of Economics & Management, Chongqing Normal University, Chongqing, China
Correspondence: [*] Corresponding author. Baoshuai Zhang, School of Economics & Management, Chongqing Normal University, 401331, Chongqing, China. E-mail: baoshuai8128@163.com.
Abstract: Based on the Copula-CoVaR framework, the Beta-skew-t-EGARCH model is used to capture the leverage effect of financial assets, the thick tail distribution and the conditional skewness. Then, based on the standard deviation, this paper introduces the extreme value theory, combined with the Copula function and the CoVaR method which are used to measure the effect of China’s crude oil market on the risk spillover effects of domestic and international commodity markets, and reveals the impact of China’s crude oil market. The results show that, regardless of the domestic Crude oil market and international commodity market, domestic crude oil market and domestic commodity market, there is a two-way positive risk spillover effect, which shows asymmetric characteristics. The results provide some theoretical supports for the regulatory authorities to enhance the marketization level of China’s crude oil market, some suggestions for the investment institutions to assess the risk level of China’s crude oil market, and some reference value for investors to invest in China’s crude oil market. Finally, based on the conclusions of the study, this paper provides some targeted recommendations to the development of China’s crude oil market.
Keywords: Oil markets, commodity markets, risk spillover effect
DOI: 10.3233/JIFS-179837
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 6, pp. 7671-7682, 2020
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