Term Structure Analysis with Big Data

  • et al.
N/ACitations
Citations of this article
14Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

APA

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free