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  • Search: subject:"Large sample covariance matrix"
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Year of publication
Subject
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Factor models, Large sample covariance matrix, Maximum eigenvalue 2 Korrelation 2 Varianzanalyse 2 Faktorenanalyse 1 Matrizenrechnung 1 Panel data, Large sample covariance matrix, Maximum eigenvalue 1
Online availability
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Free 3
Type of publication
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Book / Working Paper 3
Type of publication (narrower categories)
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Working Paper 3
Language
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English 3
Author
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Kapetanios, George 3
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Working Paper 3
Source
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EconStor 3
Showing 1 - 3 of 3
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A testing procedure for determining the number of factors in approximate factor models with large datasets
Kapetanios, George - 2005
The paradigm of a factor model is very appealing and has been used extensively in economic analyses. Underlying the factor model is the idea that a large number of economic variables can be adequately modelled by a small number of indicator variables. Throughout this extensive research activity...
Persistent link: https://www.econbiz.de/10010284186
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On testing for diagonality of large dimensional covariance matrices
Kapetanios, George - 2004
Datasets in a variety of disciplines require methods where both the sample size and the dataset dimensionality are allowed to be large. This framework is drastically different from the classical asymptotic framework where the number of observations is allowed to be large but the dimensionality...
Persistent link: https://www.econbiz.de/10010284154
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Cover Image
A new method for determining the number of factors in factor models with large datasets
Kapetanios, George - 2004
The paradigm of a factor model is very appealing and has been used extensively in economic analyses. Underlying the factor model is the idea that a large number of economic variables can be adequately modelled by a small number of indicator variables. Throughout this extensive research activity...
Persistent link: https://www.econbiz.de/10010284164
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