2006
DOI: 10.1590/s0034-71402006000400001
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Testing nonlinearities between Brazilian exchange rate and inflation volatilities

Abstract: There are few studies, directly addressing exchange rate and inflation volatilities, and lack of consensus among them. However, this kind of study is necessary, especially under an inflation-targeting system where the monetary authority must know well price behavior. This article analyses the relation between exchange rate and inflation volatilities using a bivariate GARCH model, and therefore modeling conditional volatilities, fact largely unexplored by the literature. We find a semi-concave relation between … Show more

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Cited by 5 publications
(2 citation statements)
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References 29 publications
(11 reference statements)
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“…We have used the standard deviation of daily changes in the exchange rate within each quarter as the measure of volatility. The estimation results were the following: 12 11 Albuquerque and Portugal (2006), for example, explore the relationship between exchange rate volatility and inflation in Brazil, using a bivariate GARCH model. 12 In that specification, we have used for the backward-looking inflation term the average of their values at t − 1, t − 2 and t − 3, that is, π t−1 = π A t−1 + π A t−2 + π A t−3 /3, and for the output gap term, the average at t − 1 and t − 2, that is, y t−1 = y A t−1 + y A t−2 /2, where the superscript A means actual values.…”
Section: Phillips Curve Model For Brazilmentioning
confidence: 99%
“…We have used the standard deviation of daily changes in the exchange rate within each quarter as the measure of volatility. The estimation results were the following: 12 11 Albuquerque and Portugal (2006), for example, explore the relationship between exchange rate volatility and inflation in Brazil, using a bivariate GARCH model. 12 In that specification, we have used for the backward-looking inflation term the average of their values at t − 1, t − 2 and t − 3, that is, π t−1 = π A t−1 + π A t−2 + π A t−3 /3, and for the output gap term, the average at t − 1 and t − 2, that is, y t−1 = y A t−1 + y A t−2 /2, where the superscript A means actual values.…”
Section: Phillips Curve Model For Brazilmentioning
confidence: 99%
“…In the early 1990s, the economy of Brazil witnessed a radical shift in the exchange rate and trade policy directions toward economic liberalization, which led to high inflows of capital into the country. The existing empirical literature documents said that the policy directions have had success in stabilizing domestic prices and reviving investment and saving decisions, as well as economic growth (see Bogdanski et al 2000;Frenkel and Ros 2006;Muinhos 2004;Albuquerque and Portugal 2005;Albuquerque and Portugal 2006;Correa and Minella 2010;Fernandes and Novy 2010). Despite these improvements, the Brazilian economy has been rather dwindling and unimpressive, as the appreciation of the real exchange rate ends up hurting the country's competitiveness, thereby increasing the unemployment rate.…”
Section: Introductionmentioning
confidence: 99%