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Chinese Journal of Management Science ›› 2018, Vol. 26 ›› Issue (11): 74-82.doi: 10.16381/j.cnki.issn1003-207x.2018.11.008

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The Analysis of Dependence Relationship between Oil and Stock Prices: Evidence from China and American Industrial Sector Indices

YU Le-an1, ZHA Rui1, HE Kai-jian2, TANG Ling3   

  1. 1. School of Economics and Management, Beijing University of Chemical Technology, Beijing 100029, China;
    2. School of Business, Hunan University of Science and Technology, Xiangtan 411201, China;
    3. School of Economics and Management, Beihang University, Beijing 100191, China
  • Received:2017-08-14 Revised:2018-09-10 Online:2018-11-20 Published:2019-01-23

Abstract: The oil market and stock market are the important part of modern economy, playing an important role in the economy. The relationship between these markets plays a key role in analyzing the fluctuation of price and risk transmission. The vine copula model is used in this paper to research the dependence relationship is used among the oil price, Chinese stock price and American stock price, and then the dependence relationship to manage risk.The vine copula model is used to model the dependence relationship of the oil price and ten industrial stock prices in China and American respectively,therefore the dependence relationship and dependence structure is estimated. And then oil price and the industrial stock price that has stronger dependence relationship with oil price are selected to construct the portfolio and meantime measure the risk of portfolio.The research findings of this paper show the dependence relationships of oil price, Chinese and American stock prices are different in industry, the dependence relationship between China stock price and oil price is weaker than the dependence relationship between American stock price and oil price.At the same time, dependence relationships are also used to establish two portfolios and estimate their risk,empirical results find that the vine copula model has a better performance in estimating the risk of portfolio which is established by stronger dependence relationship. The research will expand the application of the vine copula model and the risk measurement using vine copula.

Key words: oil price, stock price, vine copula, dependence relationship

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