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Empirical analysis and forecasting of multiple yield curves

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  • Gerhart, Christoph
  • Lütkebohmert, Eva

Abstract

In this paper we perform a thorough empirical study of tenor-dependent term structures which reveals important cross-tenor dependencies of yields as a persistent feature of post-crisis interest rate markets. Based on this analysis, we develop tractable dynamic factor models to forecast multiple yield curves. We show that our method outperforms existing single-curve forecasting methods by taking into account the connections between rates of different tenor structures. Our results have important implications e.g. for risk management in finance and insurance as the disregard of tenor dependencies may lead to an underestimation of risks.

Suggested Citation

  • Gerhart, Christoph & Lütkebohmert, Eva, 2020. "Empirical analysis and forecasting of multiple yield curves," Insurance: Mathematics and Economics, Elsevier, vol. 95(C), pages 59-78.
  • Handle: RePEc:eee:insuma:v:95:y:2020:i:c:p:59-78
    DOI: 10.1016/j.insmatheco.2020.08.004
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    Cited by:

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    2. Claudio Fontana & Giacomo Lanaro & Agatha Murgoci, 2024. "The geometry of multi-curve interest rate models," Papers 2401.11619, arXiv.org.

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    More about this item

    Keywords

    Multiple term structures; Principal component analysis; Dynamic factor model; Forecasting of yield curves; Solvency II;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

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