Non-Markov Gaussian Term Structure Models: The Case of Inflation

B-Tier
Journal: Review of Finance
Year: 2014
Volume: 18
Issue: 5
Pages: 1953-2001

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

Standard Gaussian term structure models impose the Markov property: the conditional mean is a function of the risk factors. We relax this assumption and consider models where yields are linear in the conditional mean (but not in the risk factors). To illustrate, yields should span expected inflation but not inflation. Second, expected and surprise yield changes can have opposite contemporaneous effects on expected inflation. Third, the survey forecasts and inflation rate can both be in the state. These three features are inconsistent with the Markov assumption. These effects matter empirically in the USA and in Canada.

Technical Details

RePEc Handle
repec:oup:revfin:v:18:y:2014:i:5:p:1953-2001.
Journal Field
Finance
Author Count
2
Added to Database
2026-01-25