EconPapers    
Economics at your fingertips  
 

Affine arbitrage-free yield net models with application to the euro debt crisis

Zhiwu Hong, Linlin Niu and Chen Zhang

Journal of Econometrics, 2022, vol. 230, issue 1, 201-220

Abstract: We develop a parsimonious class of affine arbitrage-free yield net models for consistent bond pricing across maturities and issuers of different risk levels. Containing a core curve and multiple peripheral curves, the yield net is spanned by three layers of factors: base factors spanning all curves, and common and individual spread factors. Under the arbitrage-free assumption, we prove a parsimonious solution to the risk-neutral process that guarantees joint identification of parameters and latent states. By using a Bayesian estimation method with a marginal Metropolis–Hastings algorithm and specification tests based on MCMC output, we apply the model to weekly treasury yields of Germany, Italy, Spain, and Greece from 2009 to 2016. The results show that the extracted common credit risk is a level factor in spread, and market liquidity risk is a slope factor. Further, the net structure helps reconstruct the Greek yield curve even with only its 10-year yield available throughout the sample.

Keywords: Term structure models; European debt crisis; Liquidity risk; Sovereign credit risk; Nelson–Siegel factors (search for similar items in EconPapers)
JEL-codes: C33 E43 G15 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304407621002591
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Affine arbitrage-free yield net models with application to the euro debt crisis (2021) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:econom:v:230:y:2022:i:1:p:201-220

DOI: 10.1016/j.jeconom.2021.11.002

Access Statistics for this article

Journal of Econometrics is currently edited by T. Amemiya, A. R. Gallant, J. F. Geweke, C. Hsiao and P. M. Robinson

More articles in Journal of Econometrics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-23
Handle: RePEc:eee:econom:v:230:y:2022:i:1:p:201-220