Abstract
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 one-step 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.
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CITATION STYLE
Andreasen, M. M., Christensen, J. H. E., & Rudebusch, G. D. (2017). Term Structure Analysis with Big Data. Federal Reserve Bank of San Francisco, Working Paper Series, 01–50. https://doi.org/10.24148/wp2017-21
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