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Exchange rates volatility modelling

Authors: Rodrigues, Hristiyan-Alekzandar Krastanov;

Exchange rates volatility modelling

Abstract

Neste estudo investigamos a relevância empírica de quebras estruturais na variância dos retornos de sete taxas de câmbio vis-à-vis o US Dólar no período compreendido entre 2012 e 2018. Encontramos evidência empírica da existência de quebras estruturais na variância de cinco dos sete pares em estudo, com um elevado grau de persistência e variabilidade nos parâmetros do modelo GARCH (1,1) ao longo das diferentes subamostras definidas pelas quebras estruturais. Ao analisar o momento do tempo em que estas quebras ocorrem, somos capazes de associar a maioria delas a ocorrências significativas do ponto de vista social, político e económico, quer numa escala regional quer nacional. Os nossos resultados indicam que as quebras estruturais são relevantes do ponto de visa empírico no que à modelização de retornos de taxas de câmbio diz respeito e devem ser tidos em conta aquando da realização de exercícios de previsão de volatilidade.

We investigate the empirical relevance of structural breaks in the unconditional variance of exchange rate returns for seven currency pairs vis-à-vis the US Dollar over the 2002 - 2018 period. We find evidence of structural breaks in the unconditional variance for five of the seven currencies under our scope with a high degree of persistence and variability in the parameter estimates of the GARCH (1,1) model across the various subsamples defined by the structural breaks. When analysing the time of occurrence of these breaks, we are able to associate a vast majority of them to relevant social, political and economic events occurring on both a regional and a global scale. Our research indicates that structural breaks are an empirically relevant feature of exchange rate volatility modelling and should be accounted for when performing volatility forecasts

Country
Portugal
Keywords

G17, Exchange rates, Volatilidade, Previsão, :Ciências Sociais::Economia e Gestão [Domínio/Área Científica], G Financial economics, C Mathematical and quantitative methods, Garch, Domínio/Área Científica::Ciências Sociais::Economia e Gestão, Volatility, G11, Retornos, Returns, Taxa de câmbio, C55, Forecasting

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selected citations
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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).
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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.
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