A Markov regime switching model of crises and contagion: The case of the Iberian countries in the EMS
José Mário Lopes and
Luis Nunes
Journal of Macroeconomics, 2012, vol. 34, issue 4, 1141-1153
Abstract:
We develop a general econometric model of currency crises and contagion that integrates a number of important features appearing in many different models recently proposed in the literature. In particular, we consider a Markov regime switching vector autoregression conditional heteroskedastic model with time-varying transition probabilities allowing for shifting correlations. This model is used to study the case of the Portuguese escudo and the Spanish peseta during the EMS crisis. The results show that, in a crisis situation, the interest rate differential has different effects on the transition probability from the crisis state to the non-crisis state: a perverse effect for Portugal, and a positive effect for Spain. We also find strong evidence of contagion, mostly from the Spanish peseta to the Portuguese escudo, and to some extent from the Portuguese escudo to the Spanish peseta.
Keywords: Currency crisis; Contagion; Markov switching; Volatility (search for similar items in EconPapers)
JEL-codes: C3 F3 F4 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7) Track citations by RSS feed
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0164070412000900
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:jmacro:v:34:y:2012:i:4:p:1141-1153
DOI: 10.1016/j.jmacro.2012.08.007
Access Statistics for this article
Journal of Macroeconomics is currently edited by Douglas McMillin and Theodore Palivos
More articles in Journal of Macroeconomics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().