EconPapers    
Economics at your fingertips  
 

Non linear and asymmetric linkages between real growth in the Euro area and global financial market conditions: New evidence

Mehdi Mili (), Jean-Michel Sahut and Frédéric Teulon

Economic Modelling, 2012, vol. 29, issue 3, 734-741

Abstract: This paper deals with transition mechanisms through which financial market conditions affect real economic growth in the Euro area. The informational content of financial variables for predicting real economic growth is assessed, allowing for asymmetric responses to shocks. A nonlinear framework is developed based on a smooth transition model for which the effects of shocks can vary across business cycles when financial indicators modify both the endogenous and state variables. Global financial variables are shown to significantly affect real growth in the Euro area, particularly during periods of recession. Changes in stock market index and yield slope have asymmetric effects on real growth. In recessionary periods, the slope of the US yield curve does not have a significant impact on growth in the Euro area.

Keywords: Smooth transition models; Nonlinear models; Economic growth; Business cycle; Stock market; Yield spread (search for similar items in EconPapers)
JEL-codes: E44 E47 G21 O41 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0264999312000132
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:ecmode:v:29:y:2012:i:3:p:734-741

DOI: 10.1016/j.econmod.2012.01.008

Access Statistics for this article

Economic Modelling is currently edited by S. Hall and P. Pauly

More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-31
Handle: RePEc:eee:ecmode:v:29:y:2012:i:3:p:734-741