
doi: 10.3982/ecta17943
We demonstrate that characterizing the minimal dimension of the term structure of interest rates is more challenging than currently appreciated. The highly structured polynomial patterns of the factor loadings, which are widely reported and discussed in the literature, reflect local correlations of smooth curves across maturities. We derive analytical expressions for the loadings of cross‐sectionally dependent processes that tend to favor a much lower dimension than the true dimension of the underlying factor space. Numerical examples illustrate the significant economic costs of erroneously committing to a parsimoniously parameterized factor space that is informed by standard metrics of goodness‐of‐fit. Our results apply to other assets with a finite maturity structure.
Applications of statistics to actuarial sciences and financial mathematics, factor space, term structure of interest rates, eigenvectors, bond returns, local correlation, Interest rates, asset pricing, etc. (stochastic models), principal components
Applications of statistics to actuarial sciences and financial mathematics, factor space, term structure of interest rates, eigenvectors, bond returns, local correlation, Interest rates, asset pricing, etc. (stochastic models), principal components
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