Term Structure Analysis with Big Data: One-Step Estimation Using Bond Prices

A-Tier
Journal: Journal of Econometrics
Year: 2019
Volume: 212
Issue: 1
Pages: 26-46

Authors (3)

Andreasen, Martin M. (not in RePEc) Christensen, Jens H.E. (not in RePEc) Rudebusch, Glenn D. (Brookings Institution)

Score contribution per author:

1.341 = (α=2.01 / 3 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Nearly all studies that analyze the term structure of interest rates take a two-step approach. First, actual bond prices are summarized by interpolated synthetic zero-coupon yields, and second, some 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.

Technical Details

RePEc Handle
repec:eee:econom:v:212:y:2019:i:1:p:26-46
Journal Field
Econometrics
Author Count
3
Added to Database
2026-01-29