Estimating yield spreads volatility using GARCH-type models

Jong Min Kim, Dong H. Kim, Hojin Jung

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

The primary focus of this study is on modeling the relationship between the volatility of corporate bond yield spreads and other covariates, including interest rate volatility, equity volatility, and rating. The purpose of this article is to apply various GARCH models to estimate the volatility of corporate bond yield spreads. This attempt is, to the best of our knowledge, the first to analyze the volatility of the yield spreads. In particular, this study utilizes standard GARCH and various asymmetric GARCH models, including E-GARCH, T-GARCH, P-GARCH, Q-GARCH, and I-GARCH models. We select the best fitting models for the noncallable (callable) case based on AIC, and it turns out Q-GARCH (T-GARCH) is the best fitting model. The estimation results indicate that our explanatory variables are statistically significant even at the 1% significance level when we apply the best fitting models. They are generally consistent, but we observe the presence of apparent differences. Our findings should be beneficial to practitioners, including investors.

Original languageEnglish (US)
Article number101396
JournalNorth American Journal of Economics and Finance
Volume57
DOIs
StatePublished - Jul 1 2021

Bibliographical note

Publisher Copyright:
© 2021 Elsevier Inc.

Keywords

  • Callable bonds
  • Garch-type
  • Noncallable bonds
  • Yield spreads volatility

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