Characterizing Correlation Matrices that Admit a Clustered Factor Representation

Chen Tong and Peter Hansen

Papers from arXiv.org

Abstract: The Clustered Factor (CF) model induces a block structure on the correlation matrix and is commonly used to parameterize correlation matrices. Our results reveal that the CF model imposes superfluous restrictions on the correlation matrix. This can be avoided by a different parametrization, involving the logarithmic transformation of the block correlation matrix.

Date: 2023-08
New Economics Papers: this item is included in nep-ecm
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Journal Article: Characterizing correlation matrices that admit a clustered factor representation (2023)
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