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Scalar BEKK and indirect DCC

机译:标量贝克和间接DCC

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The paper derives the scalar special case of the well-known BEKK multivariate GARCH model using a multivariate extension of the random coefficient autoregressive (RCA) model. This representation establishes the relevant structural and asymptotic properties of the scalar BEKK model using the theoretical results available in the literature for general multivariate GARCH. Sufficient conditions for the (direct) DCC model to be consistent with a scalar BEKK representation are established. Moreover, an indirect DCC model that is consistent with the scalar BEKK representation is obtained, and is compared with the direct DCC model using an empirical example. The paper shows, within ail asset allocation and risk measurement framework, that the two models are similar in terms of providing parameter estimates and forecasting value-at-risk thresholds for equally weighted and minimum variance portfolios. Copyright (C) 2008 John Wiley & Sons. Ltd.
机译:本文使用随机系数自回归(RCA)模型的多元扩展,得出了著名的BEKK多元GARCH模型的标量特殊情况。该表示使用文献中针对一般多元GARCH的理论结果,建立了标量BEKK模型的相关结构和渐近性质。建立了(直接)DCC模型与标量BEKK表示相一致的充分条件。此外,获得了与标量BEKK表示形式一致的间接DCC模型,并使用一个经验示例将其与直接DCC模型进行了比较。该文件显示,在所有资产分配和风险度量框架内,两个模型在为均等加权和最小方差投资组合提供参数估计和预测风险价值阈值方面相似。版权所有(C)2008 John Wiley&Sons。有限公司

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