Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Pricing and hedging of inflation-indexed bonds in an affine framework
 
research article

Pricing and hedging of inflation-indexed bonds in an affine framework

Eksi, Zehra
•
Filipovic, Damir  
2014
Journal Of Computational And Applied Mathematics

This study deals with the pricing and hedging of inflation-indexed bonds. Under foreign exchange analogy we model the nominal short rate, real short rate and logarithm of the price index with an afflne Gaussian process. Using the underlying affine property, we compute the nominal and inflation-indexed bond prices explicitly. We derive no-arbitrage drift conditions for the factor process. Then, we perform a novel hedging analysis where our objective is to replicate an indexed bond of a given maturity by trading a portfolio of nominal bonds. This analysis leads to a hedging criterion based on a set of restrictions on the eigenvalues and the eigenvectors of mean reversion speed matrix of the factor process. We fit the model to the US bond data and perform an in-sample hedging analysis. Having relatively small in-sample hedging errors, we validate the theoretical hedging result for the considered dataset. (C) 2013 Elsevier B.V. All rights reserved.

  • Details
  • Metrics
Type
research article
DOI
10.1016/j.cam.2013.10.023
Web of Science ID

WOS:000329376700015

Author(s)
Eksi, Zehra
Filipovic, Damir  
Date Issued

2014

Publisher

Elsevier

Published in
Journal Of Computational And Applied Mathematics
Volume

259

Start page

452

End page

463

Subjects

Affine Gaussian processes

•

Inflation-indexed bonds

•

No-arbitrage pricing

•

Hedging

•

Market completeness

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CSF  
Available on Infoscience
February 17, 2014
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/100683
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés