Taxa cambial no Brasil e suas relações: algumas evidências macroeconômicas e financeiras

• Autor(a) principal: Vanícola, Cássia Regina
• Data de Publicação: 2010
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da PUC_SP
• Texto Completo: https://tede2.pucsp.br/handle/handle/956
• topic: Taxa cambial; Regime cambial; Modelagem VAR; Exchange rate; Exchange rate regime; VAR modeling; CNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO

The exchange rate corresponds to one of the main prices of an economy, due to several effects it has the ability to lead: effects on the current account of a country, its impact on monetary policy, on economic growth and effects on business decisions. The purpose of this research is to investigate factors that drive price movements of the national currency - the Real, against the dollar in the United States of America, for the sample period; to select relevant macroeconomic and financial variables and to test them empirically. First, the major theoretical developments of the theme and a brief history of the brazilian and also the world foreign exchange market are described. In this phase of the study there is the option to work with the variables: interest rate differential, country risk premium - EMBI, foreign direct investment - FDI, gross domestic product - GDP Bovespa Index and Dow Jones Index. Based on the sample period from January 1995 to January 2009, period of time in which, despite having an stable economy, Brazil went through several exchange rate regimes: floating exchange rate from 1994 to 1995, managed currency regime from 1995 to 1998; floating exchange rate with devaluation trend of the Real from 1999 to 2002 and floating exchange rate with appreciation trend of the Real from 2003 to 2009, seeks to establish econometric relationships via vector autoregression - VAR modeling. The results show that for the time interval, the main influences on the price development of the national currency are due to the variables: interest rate differential, EMBI, GDP and FDI. Additional discussion leads to the idea that it is still very difficult to predict the evolution of the exchange rate, especially in the short and medium term, and that other approaches such as the use of models for dealing with conditional heteroscedasticity or with microeconomic data may lead to interesting results