We compare forecasts of recessions using four different specifications of the probit model: a time invariant conditionally independent version; a business cycle specific conditionally independent model; a time invariant probit with autocorrelated errors; and a business cycle specific probit with aut
Parsimonious modeling and forecasting of corporate yield curve
✍ Scribed by Wei-Choun Yu; Donald M. Salyards
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 504 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0277-6693
- DOI
- 10.1002/for.1092
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
This paper investigates the sensitivity of out‐of‐sample forecasting performance over a span of different parameters of l in the dynamic Nelson–Siegel three‐factor AR(1) model. First, we find that the ad hoc selection of l is not optimal. Second, we find a substantial difference in factor dynamics between investment‐grade and speculative‐grade corporate bonds from 1994:12 to 2006: 4. Third, we suggest that the three‐factor model is sufficient to explain the main variations of corporate yield changes. Finally, the parsimonious Nelson–Siegel three‐factor AR(1) model remains competitive in the out‐of‐sample forecasting of corporate yields. Copyright © 2008 John Wiley & Sons, Ltd.
📜 SIMILAR VOLUMES
## ABSTRACT This paper compares the in‐sample fitting and the out‐of‐sample forecasting performances of four distinct Nelson–Siegel class models: Nelson–Siegel, Bliss, Svensson, and a five‐factor model we propose in order to enhance the fitting flexibility. The introduction of the fifth factor resu
## ABSTRACT In this paper we compare the in‐sample fit and out‐of‐sample forecasting performance of no‐arbitrage quadratic, essentially affine and dynamic Nelson–Siegel term structure models. In total, 11 model variants are evaluated, comprising five quadratic, four affine and two Nelson–Siegel mod
## ABSTRACT This paper compares various ways of extracting macroeconomic information from a data‐rich environment for forecasting the yield curve using the Nelson–Siegel model. Five issues in extracting factors from a large panel of macro variables are addressed; namely, selection of a subset of th
## Abstract The movement of sovereign yields is important for both investment and risk management. This paper applies a method that was first developed by Diebold __et al.__ (2006) to model the sovereign bond yield curves of the US, Japan and Germany. By including observable macroeconomic variables