High frequency principal component analysis based on correlation matrix that is robust to jumps, microstructure noise and asynchronous observation times

This paper developed the high frequency estimation for the principal component analysis (PCA) based on correlation matrix. This estimation methodology is robust to jumps, microstructure noise and asynchronous observation times simultaneously, which is enabled by the newly proposed Truncated and Smoo...

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Bibliographic Details
Main Author: CHEN, Dachuan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
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Online Access:https://ink.library.smu.edu.sg/soe_research/2746
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Institution: Singapore Management University
Language: English

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