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Factor models with local factors - determining the number of relevant factors
Freyaldenhoven, Simon - 2021
Persistent link: https://www.econbiz.de/10012651287
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Spiked eigenvalues of high-dimensional separable sample covariance matrices
Zhang, Bo; Gao, Jiti; Pan, Guangming; Yang, Yanrong - 2019
Persistent link: https://www.econbiz.de/10012606738
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Using principal component analysis to estimate a highdimensional factor model with high-frequency data
Aït-Sahalia, Yacine; Xiu, Dacheng - 2017
Persistent link: https://www.econbiz.de/10012806600
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Using principal component analysis to estimate a high dimensional factor model with high-frequency data
Aït-Sahalia, Yacine; Xiu, Dacheng - In: Journal of econometrics 201 (2017) 2, pp. 384-399
Persistent link: https://www.econbiz.de/10011920525
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Large-dimensional factor modeling based on high-frequency observations
Pelger, Markus - In: Journal of econometrics 208 (2019) 1, pp. 23-42
Persistent link: https://www.econbiz.de/10012139775
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Knowing factors or factor loadings, or neither? : evaluating estimators of large covariance matrices with noisy and asynchronous data
Dai, Chaoxing; Lu, Kun; Xiu, Dacheng - In: Journal of econometrics 208 (2019) 1, pp. 43-79
Persistent link: https://www.econbiz.de/10012139780
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Identifying latent factors based on high-frequency data
Sun, Yucheng; Xu, Wen; Zhang, Chuanhai - In: Journal of econometrics 233 (2023) 1, pp. 251-270
Persistent link: https://www.econbiz.de/10014341048
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A factor-adjusted multiple testing procedure with application to mutual fund selection
Lan, Wei; Du, Lilun - In: Journal of business & economic statistics : JBES ; a … 37 (2019) 1, pp. 147-157
Persistent link: https://www.econbiz.de/10012176556
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Factor models with local factors : determining the number of relevant factors
Freyaldenhoven, Simon - In: Journal of econometrics 229 (2022) 1, pp. 80-102
Persistent link: https://www.econbiz.de/10013441833
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Estimation of large volatility matrices with low-rank signal plus sparse noise structures
Dai, Runyu; Matsuda, Yasumasa - 2023
Persistent link: https://www.econbiz.de/10014310363