Predicting inflation expectations: A habit-based explanation under hedging
Kwamie Dunbar and
Johnson Owusu-Amoako
International Review of Financial Analysis, 2023, vol. 89, issue C
Abstract:
One of the main challenges monetary policymakers face is predicting the trajectory of short-term inflation, especially considering the consistently flat Phillips curve observed in recent years. A promising approach to tackling this challenge involves modifying the hybrid New Keynesian Phillips curve (HNKPC) by incorporating a hedging factor. This factor accounts for the efforts risk-averse economic agents make to safeguard their spending decisions against uncertainties arising from inflation. Our study provides evidence that the hedging factor plays a crucial role and is a statistically significant predictor of the upcoming year's inflation rate. Specifically, a one-standard-deviation increase in the hedging factor predicts a positive rise in short-term inflation. Furthermore, we demonstrate that the hedging factor significantly determines the common component found in both well-known survey-based and model-based inflation expectation indicators.
Keywords: Futures market; Phillips curve; Inflation expectation; Hedging factor; Core inflation (search for similar items in EconPapers)
JEL-codes: E52 (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1057521923003320
Full text for ScienceDirect subscribers only
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: https://EconPapers.repec.org/RePEc:eee:finana:v:89:y:2023:i:c:s1057521923003320
DOI: 10.1016/j.irfa.2023.102816
Access Statistics for this article
International Review of Financial Analysis is currently edited by B.M. Lucey
More articles in International Review of Financial Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().