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

Research article (Journal of Econometrics, 2024) · cited 10× · AI/ML
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High frequency principal component analysis based on correlation matrix that is robust to jumps, microstructure noise and asynchronous observation times is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). High frequency principal component analysis based on correlation matrix that is robust to jumps, microstructure noise and asynchronous observation times. Retrieved October 20, 2026, from https://4ort.xyz/entity/high-frequency-principal-component-analysis-based-on-correlation-matrix-that-is-robust-to-jumps-microstructure-noise-and
MLA “High frequency principal component analysis based on correlation matrix that is robust to jumps, microstructure noise and asynchronous observation times.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/high-frequency-principal-component-analysis-based-on-correlation-matrix-that-is-robust-to-jumps-microstructure-noise-and.
BibTeX @misc{4ortxyz_high-frequency-principal-component-analysis-based-on-correlation-matrix-that-is-robust-to-jumps-microstructure-noise-and_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{High frequency principal component analysis based on correlation matrix that is robust to jumps, microstructure noise and asynchronous observation times}}, year = {2026}, url = {https://4ort.xyz/entity/high-frequency-principal-component-analysis-based-on-correlation-matrix-that-is-robust-to-jumps-microstructure-noise-and}, note = {Accessed: 2026-10-20}}
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