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Information Journal Paper

Title

MULTIVARIATE GARCH MODELS’. JOURNAL OF BUSINESS AND ECONOMIC STATISTIC VALUE AT RISK AND SPILLOVER EFFECT ESTIMATE USING MGARCH

Pages

  215-228

Keywords

VALUE AT RISK (VAR)Q2

Abstract

 In this paper we examine the usefulness of multivariate GARCH models to estimate Value-at-Risk (VaR) and SPILLOVER EFFECT using a portfolio of returns in the OPEC and WTI oil spot market. In this procedure first we estimate conditional covariance matrix using multivariate GARCH models, results show that in multivariate GARCH models, although CCC model estimate variance matrix well with utilize more complete information of correlation matrix. Also we detect extreme risk SPILLOVER EFFECT between the two oil markets from existence covariance between variable. The tests showed the importance of time varying correlation in risk portfolio management. The estimated Value-at-Risk represents the superiority of CCC to other models. The distributional assumption has large impact on VaR estimation. These results are valuable for anyone who needs to evaluate and forecast the risk situation in international crude oil markets.

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    Cite

    APA: Copy

    ROSTAMI, MOHAMMAD REZA, & FARAHMAND, SAHAR. (2013). MULTIVARIATE GARCH MODELS’. JOURNAL OF BUSINESS AND ECONOMIC STATISTIC VALUE AT RISK AND SPILLOVER EFFECT ESTIMATE USING MGARCH. INVESTMENT KNOWLEDGE, 1(4), 215-228. SID. https://sid.ir/paper/188006/en

    Vancouver: Copy

    ROSTAMI MOHAMMAD REZA, FARAHMAND SAHAR. MULTIVARIATE GARCH MODELS’. JOURNAL OF BUSINESS AND ECONOMIC STATISTIC VALUE AT RISK AND SPILLOVER EFFECT ESTIMATE USING MGARCH. INVESTMENT KNOWLEDGE[Internet]. 2013;1(4):215-228. Available from: https://sid.ir/paper/188006/en

    IEEE: Copy

    MOHAMMAD REZA ROSTAMI, and SAHAR FARAHMAND, “MULTIVARIATE GARCH MODELS’. JOURNAL OF BUSINESS AND ECONOMIC STATISTIC VALUE AT RISK AND SPILLOVER EFFECT ESTIMATE USING MGARCH,” INVESTMENT KNOWLEDGE, vol. 1, no. 4, pp. 215–228, 2013, [Online]. Available: https://sid.ir/paper/188006/en

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