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Semi-Parametric Comparison of Stochastic Volatility Models using Realized Measures

机译:随机波动率模型的半参数比较

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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.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 the considered realized measures,namely,realized volatility,bipower variation,and modified subsampled realized volatility,satisfy the given primitive assumptions.Finally,we provide an empirical illustration based on three stocks 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中测试波动过程的函数形式的正确规范的程序,该程序基于已实现的波动率指标与对应的隐含的综合波动率的矩的比较。首先在虚假假设下通过模型提供条件。我们首先提供与已实现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,我们建立正则条件,在此条件下,考虑的已实现度量即已实现波动率,二乘幂最后,我们以道琼斯工业平均指数的三只股票为基础,提供了经验例证。

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