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Estimating and testing stochastic volatility models using realized measures

机译:使用已实现的测度估计和测试随机波动率模型

摘要

This paper proposes a procedure to test for the correct specification of the functional form of the volatility process, within the class of eigenfunction stochastic volatility models (Meddahi, 2001). The procedure is based on the comparison of the moments of realized volatility measures with the corresponding ones of integrated volatility implied by the model under the null hypothesis. We first provide primitive conditions on the measurement error associated with the realized measure, which allow to construct asymptotically valid specification tests. Then we establish regularity conditions under which realized volatility, bipower variation (Barndorff-Nielsen & Shephard, 2004d), and modified subsampled realized volatility (Zhang, Mykland & Aït Sahalia, 2003), satisfy the given primitive assumptions.udFinally, we provide an empirical illustration based on three stock from the Dow Jones Industrial Average.
机译:本文提出了一种在本征函数随机波动模型(Meddahi,2001)中测试波动过程功能形式的正确规范的程序。该程序是基于在零假设下将已实现的波动率度量的矩与模型所隐含的相应的综合波动率的比较。我们首先提供与已实现的度量相关的度量误差的原始条件,从而可以构造渐近有效的规格检验。然后,我们建立规则性条件,在该条件下,实现的波动性,双功效变化(Barndorff-Nielsen&Shephard,2004d)和经修改的二次抽样实现的波动性(Zhang,Mykland&AïtSahalia,2003)满足给定的原始假设。 ud最后,我们提供了一个基于道琼斯工业平均指数的三只股票得出的经验例证。

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