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Fixed Income and Interest-Rate Models / Multi-Factor Term Structure Models

Multi-Factor Affine Consistency and Exponential-Polynomial Families

Central banks worldwide estimate the yield curve every day using Nelson-Siegel or Svensson models — yet neither model is consistent with any non-trivial stochastic dynamics. There is no SDE that propagates a Nelson-Siegel curve forward in time without breaking the shape constraint. This is not a limitation of a particular parameterization; it is a theorem. The same analysis that explains why affine models (Vasicek, CIR, G2++) generate closed-form bond prices also explains the limits on what curve families can be self-consistent: the forward curve parameterization and the state variable SDE must jointly satisfy a PDE called the consistency condition, and most commonly used shapes fail it. This lesson derives the consistency condition, characterises the affine and polynomial term structure families, and shows that Nelson-Siegel is theoretically incompatible with arbitrage-free dynamics.

In this lesson

    1. The General Multi-Factor Forward Curve Framework
    1. The Consistency Condition
    1. Affine Term Structures
    1. Polynomial Term Structures and the Degree Bound
    1. Exponential-Polynomial Families: Nelson-Siegel and Svensson
    1. Classification of Consistent Multi-Factor Models
    1. Where This Goes Next

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