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

被引:21
|
作者
Andreasen, Martin M. [1 ,2 ]
Christensen, Jens H. E. [3 ]
Rudebusch, Glenn D. [3 ]
机构
[1] Aarhus Univ, CREATES, Aarhus, Denmark
[2] Danish Finance Inst, Frederiksberg, Denmark
[3] Fed Reserve Bank San Francisco, San Francisco, CA 94105 USA
关键词
Extended Kalman filter; Fixed-coupon bond prices; Arbitrage-free Nelson-Siegel model; YIELD CURVE; RATES;
D O I
10.1016/j.jeconom.2019.04.019
中图分类号
F [经济];
学科分类号
02 ;
摘要
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. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:26 / 46
页数:21
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