Forecasting euro area recessions by combining financial information
by Christophe Bellégo; Laurent Ferrara
International Journal of Computational Economics and Econometrics (IJCEE), Vol. 7, No. 1/2, 2017

Abstract: The last two macroeconomic recessions in the euro area in 2008-2009 and 2011-2013 have pointed out the impact of financial markets on economic activity. In this paper, we propose to evaluate the ability of a set of financial variables to forecast recessions in the euro area by using binary response models associated with information combination. For various forecast horizons, we provide a readable and leading signal of recession by combining information according to two combining schemes. First we average recession probabilities and second we linearly combine variables through a factor model in order to estimate an innovative Factor-Augmented probit model. Out-of-sample results over the periods 2007-2009 and 2011-2013 show that financial variables would have been helpful in giving accurate and timely recession signals in real-time.

Online publication date: Thu, 01-Dec-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Economics and Econometrics (IJCEE):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email