{"title":"基于Copula-POT-CoVaR模型的原油市场对金砖国家股市风险溢出效应研究","authors":"Ke Liu, Changqing Luo, Zhao Li","doi":"10.3934/qfe.2019.4.754","DOIUrl":null,"url":null,"abstract":"To investigate the risk spillover effect from crude oil market to BRICS stock markets, we extend the Copula-CoVaR models by introducing the Peak-over-Threshold and construct the Copula-POT-CoVaR model. By using the crude oil market and BRICS stock market data from 2006 to 2016 as the sample, the empirical study results show that: (a) Copula-POT-CoVaR model is an effective method to measure the extreme risk, (b) there is a significant risk spillover from crude oil market to BRICS stock markets, and the risk of crude oil market explains more than 50 percent of BRICS stock markets’ risk, and (c) within five BRICS stock markets, Russia’s stock market and China’s stock market receive the strongest and slightest spillover from crude oil market respectivlely. These findings indicate that close attention should be paid to the crude oil market when managing the investment portfolio of BRICS markets, especially in the face of high volatility of crude oil market.","PeriodicalId":45226,"journal":{"name":"Quantitative Finance and Economics","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2019-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Investigating the risk spillover from crude oil market to BRICS stock markets based on Copula-POT-CoVaR models\",\"authors\":\"Ke Liu, Changqing Luo, Zhao Li\",\"doi\":\"10.3934/qfe.2019.4.754\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To investigate the risk spillover effect from crude oil market to BRICS stock markets, we extend the Copula-CoVaR models by introducing the Peak-over-Threshold and construct the Copula-POT-CoVaR model. By using the crude oil market and BRICS stock market data from 2006 to 2016 as the sample, the empirical study results show that: (a) Copula-POT-CoVaR model is an effective method to measure the extreme risk, (b) there is a significant risk spillover from crude oil market to BRICS stock markets, and the risk of crude oil market explains more than 50 percent of BRICS stock markets’ risk, and (c) within five BRICS stock markets, Russia’s stock market and China’s stock market receive the strongest and slightest spillover from crude oil market respectivlely. These findings indicate that close attention should be paid to the crude oil market when managing the investment portfolio of BRICS markets, especially in the face of high volatility of crude oil market.\",\"PeriodicalId\":45226,\"journal\":{\"name\":\"Quantitative Finance and Economics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2019-12-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Quantitative Finance and Economics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3934/qfe.2019.4.754\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quantitative Finance and Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3934/qfe.2019.4.754","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Investigating the risk spillover from crude oil market to BRICS stock markets based on Copula-POT-CoVaR models
To investigate the risk spillover effect from crude oil market to BRICS stock markets, we extend the Copula-CoVaR models by introducing the Peak-over-Threshold and construct the Copula-POT-CoVaR model. By using the crude oil market and BRICS stock market data from 2006 to 2016 as the sample, the empirical study results show that: (a) Copula-POT-CoVaR model is an effective method to measure the extreme risk, (b) there is a significant risk spillover from crude oil market to BRICS stock markets, and the risk of crude oil market explains more than 50 percent of BRICS stock markets’ risk, and (c) within five BRICS stock markets, Russia’s stock market and China’s stock market receive the strongest and slightest spillover from crude oil market respectivlely. These findings indicate that close attention should be paid to the crude oil market when managing the investment portfolio of BRICS markets, especially in the face of high volatility of crude oil market.