Economics at your fingertips  

TIPS: Taking Inflation Premium Seriously

Min Wei, Stefania D'Amico and Don H. Kim

No 363, Computing in Economics and Finance 2005 from Society for Computational Economics

Abstract: This paper asks the question of whether the newly available TIPS yields data can help us achieve a better understanding of the real term structure and the inflation expectations. The yield differential between TIPS and comparable nominal coupon securities is not a direct measure of inflation expectations, because it contains inflation risk premium, and because the TIPS yield may depart from the true "real yield," due to low investor demand especially in the early years. Without using data from the (indexed) real bond market, we cannot fully identify the real interest rate from the inflation risk premium, unless we assume that all information affecting the real term structure is reflected in the nominal bond prices. Even with this assumption, empirical identification of the real term structure is hard to achieve because of the poor measurement and the frequent revisions of the price series. We develop a flexible multifactor term-structure model to allow for suitable specifications of liquidity premium on TIPS, as well as complications caused by lagged indexation. We estimate the model by the Kalman filter using TIPS yields, nominal bond yields, realized inflation and survey data on interest rates and inflation

Keywords: TIPS; Inflation risk premium; term structure of interest rates (search for similar items in EconPapers)
JEL-codes: E43 E44 G12 (search for similar items in EconPapers)
Date: 2005-11-11
New Economics Papers: this item is included in nep-fin, nep-mac and nep-mon
References: Add references at CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link) (application/pdf)

Related works:
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:

Access Statistics for this paper

More papers in Computing in Economics and Finance 2005 from Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F. Baum ().

Page updated 2020-02-24
Handle: RePEc:sce:scecf5:363