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An application of the analogy between vector ARCH and vector random coefficient autoregressive models

机译:矢量aRCH与矢量随机系数自回归模型的类比应用

摘要

In this paper we derive conditions for the conditional covariance matrix to be positive definite in a general vector ARCH model. The conditions can be easily extended to the diagonal vector GARCH model. For the general vector GARCH model, analytical expressions for the conditions in terms of the parameters become complicated, but their validity can in principle be checked numerically once the values of the parameters are given.
机译:在本文中,我们导出了条件协方差矩阵在一般矢量ARCH模型中为正定的条件。这些条件可以轻松扩展到对角矢量GARCH模型。对于一般的矢量GARCH模型,条件的解析表达式在参数方面变得复杂,但是原则上可以在给出参数值后通过数值检查其有效性。

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