Completing correlation matrices

Olaf Dreyer, Horst K\"ohler and Thomas Streuer

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Abstract: We describe a way to complete a correlation matrix that is not fully specified. Such matrices often arise in financial applications when the number of stochastic variables becomes large or when several smaller models are combined in a larger model. We argue that the proper completion to consider is the matrix that maximizes the entropy of the distribution described by the matrix. We then give a way to construct this matrix starting from the graph associated with the incomplete matrix. If this graph is chordal our construction will result in a proper correlation matrix. We give a detailed description of the construction for a cross-currency model with six stochastic variables and describe extensions to larger models involving more currencies.

Date: 2021-11
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2111.12640

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