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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao International Journa...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
International Journal of Finance & Economics
Article . 1997 . Peer-reviewed
License: Wiley TDM
Data sources: Crossref
SSRN Electronic Journal
Article . 1996 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.34989/sw...
Other literature type . 1996
Data sources: Datacite
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Switching Between Chartists And Fundamentalists: A Markov Regime-Switching Approach

Authors: Robert Vigfusson;

Switching Between Chartists And Fundamentalists: A Markov Regime-Switching Approach

Abstract

Depuis le début des années 80, les modèles fondés sur les facteurs économiques fondamentaux n'ont guère contribué à expliquer les variations du taux de change (Messe 1990). Devant ce problème, Frankel et Froot (1988) ont élaboré un modèle dans lequel ils ont utilisé deux approches de prévision du taux de change : l'approche fondamentaliste, dans laquelle la prévision repose sur des facteurs économiques fondamentaux, et l'approche technique, où la prévision s'appuie sur le comportement passé du taux de change. Il s'agissait là d'une innovation car, auparavant, seule l'approche fondamentaliste était utilisée. Une caractéristique propre au modèle fondamentaliste et technique (f et t) est que le poids relatif des deux composantes varie avec le temps. Comme cette pondération n'est pas observable, le modèle ne peut être estimé ni testé à l'aide des techniques standard. Pour surmonter ces difficultés et tester le modèle, l'auteur fait appel aux techniques de changement de régime de Markov. Il définit chacune des deux approches comme un différent régime de génération d'informations et transforme le modèle f et t en un modèle avec changement de régime. Le modèle est ensuite utilisé pour tester le comportement du taux de change au jour le jour Canada-États-Unis pour la période 1983-1992. Les résultats favorables quoique non concluants du modèle amènent l'auteur à suggérer la poursuite des recherches.

Since the early 1980s, models based on economic fundamentals have been poor at explaining the movements in the exchange rate (Messe 1990). In response to this problem, Frankel and Froot (1988) developed a model that uses two approaches to forecast the exchange rate: the fundamentalist approach, which bases the forecast on economic fundamentals, and the chartist approach, which bases the forecast on the past behaviour of the exchange rate. This was an innovation, as only the fundamentalist approach had been used before. A feature of the chartist-and-fundamentalist (c&f) model is that these two approaches' relative importance varies over time. Because this weighting is unobserved, the c&f model can not be estimated or tested using standard techniques. To overcome these difficulties and to test the model, the author uses Markov regime-switching techniques. He defines the two groups' different methods of forecasting as regimes and rewrites the c&f model as a regime-switching model. The model is then used to test for c&f behaviour in the Canada-U.S. daily exchange rate between 1983 and 1992. The author finds favourable though inconclusive evidence for the c&f model and accordingly makes suggestions for further research.

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Keywords

jel: jel:F3, jel: jel:F4

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
68
Top 10%
Top 10%
Average
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