Semiparametric Estimator of Time Series Conditional Variance

We propose a new combined semiparametric estimator, which incorporates the parametric and nonparametric estimators of the conditional variance in a multiplicative way. We derive the asymptotic bias, variance, and normality of the combined estimator under general conditions. We show that under correc...

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Bibliographic Details
Main Authors: MISHRA, Santosh, SU, Liangjun, ULLAH, Aman
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2010
Subjects:
Online Access:https://ink.library.smu.edu.sg/soe_research/356
https://ink.library.smu.edu.sg/context/soe_research/article/1355/viewcontent/Semiparametric_Estimator_of_Time_Series_Conditional_Variance.pdf
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Institution: Singapore Management University
Language: English