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Why Gaussian macro-finance term structure models are (nearly) unconstrained factor-VARs

Author

Listed:
  • Joslin, Scott
  • Le, Anh
  • Singleton, Kenneth J.
Abstract
This paper explores the implications of filtering and no-arbitrage for the maximum likelihood estimates of the entire conditional distribution of the risk factors and bond yields in Gaussian macro-finance term structure model (MTSM) when all yields are priced imperfectly. For typical yield curves and macro-variables studied in this literature, the estimated joint distribution within a canonical MTSM is nearly identical to the estimate from an economic-model-free factor vector-autoregression (factor-VAR), even when measurement errors are large. It follows that a canonical MTSM offers no new insights into economic questions regarding the historical distribution of the macro risk factors and yields, over and above what is learned from a factor-VAR. These results are rotation-invariant and, therefore, apply to many of the specifications in the literature.

Suggested Citation

  • Joslin, Scott & Le, Anh & Singleton, Kenneth J., 2013. "Why Gaussian macro-finance term structure models are (nearly) unconstrained factor-VARs," Journal of Financial Economics, Elsevier, vol. 109(3), pages 604-622.
    • Handle: RePEc:eee:jfinec:v:109:y:2013:i:3:p:604-622
    DOI: 10.1016/j.jfineco.2013.04.004
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    References listed on IDEAS

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    More about this item

    Keywords

    Macro-finance term structure model; Filtering; No-arbitrage model; Factor model;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics

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