The long-run relationship between stock prices and goods prices: New evidence from panel cointegration
Andros Gregoriou and
Alexandros Kontonikas ()
Journal of International Financial Markets, Institutions and Money, 2010, vol. 20, issue 2, 166-176
Abstract:
We examine the long-run relationship between stock prices and goods prices to gauge whether stock market investment can hedge against inflation. Data from 16 OECD countries over the period 1970-2006 are used. We account for different inflation regimes with the use of sub-sample regressions, while maintaining the power of tests in small sample sizes by combining time-series data across our sample countries in a panel unit root and panel cointegration econometric framework. The evidence supports a positive long-run relationship between goods prices and stock prices with the estimated goods price coefficient being in line with the generalized Fisher hypothesis.
Keywords: Stock; prices; Good; prices; Panel; cointegration (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1042-4431(09)00061-4
Full text for ScienceDirect subscribers only
Related works:
Working Paper: The long run relationship between stock prices and goods prices: new evidence from panel cointegration (2008) 
Working Paper: THE LONG RUN RELATIONSHIP BETWEEN STOCK PRICES AND GOODS PRICES: NEW EVIDENCE FROM PANEL COINTEGRATION 
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:intfin:v:20:y:2010:i:2:p:166-176
Access Statistics for this article
Journal of International Financial Markets, Institutions and Money is currently edited by I. Mathur and C. J. Neely
More articles in Journal of International Financial Markets, Institutions and Money from Elsevier
Bibliographic data for series maintained by Catherine Liu ().