Department of Economics and Business Economics

Term Structure Analysis with Big Data

Research output: Working paperResearch

Documents

  • rp17_31

    Final published version, 586 KB, PDF-document

  • Martin Møller Andreasen
  • Jens H.E. Christensen, Federal Reserve Bank of San Francisco, United StatesGlenn D. Rudebusch, Federal Reserve Bank of San Francisco, United States
Analysis of the term structure of interest rates almost always takes a two-step approach. First, actual bond prices are summarized by interpolated synthetic zero-coupon yields, and second, a small set of these yields are used as the source data for further empirical examination. In contrast, we consider the advantages of a one-step approach that directly analyzes the universe of bond prices. To illustrate the feasibility and desirability of the onestep approach, we compare arbitrage-free dynamic term structure models estimated using both approaches. We also provide a simulation study showing that a one-step approach can extract the information in large panels of bond prices and avoid any arbitrary noise introduced from a first-stage interpolation of yields.
Original languageEnglish
Place of publicationAarhus
PublisherInstitut for Økonomi, Aarhus Universitet
Number of pages49
StatePublished - 18 Sep 2017
SeriesCREATES Research Papers
Number2017-31

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