M.Com. (Economic Development and Policy Issues) / This research analyses the effect of exchange rate volatility on exports using a sample of nine emerging countries – Argentina, Brazil, India, Indonesia, Mexico, Malaysia, Poland, South Africa and Thailand – between 1995 and 2010. The study uses panel data models, with a standard exports equation with exports performance determined by exchange rate volatility, the level of exchange rate, demand conditions in major countries as well as terms of trade. Exchange rate volatility is measured by Generalised Autoregressive Conditional Heteroscedasticity (GARCH) and conventional standard deviation in order to determine if the instrument of volatility used influences the nature of the relationship between exchange rate volatility and exports. The results show that exchange rate volatility has a significant negative effect on the performance of exports regardless of the measure of volatility used. The Pedroni residual cointegration method was used to test for panel cointegration to determine if there is a long-run relationship among the variables, and the test showed that a long-run relationship does exists. Generally, the study concludes that policy mix that will reduce exchange rate volatility (such as managed exchange rate regimes) and relatively competitive exchange rates are essential for emerging markets in order to sustain their exports performance.

No description available.

Trying to find explanations to movements in the exchange rate is something that econo-mists have been dealing with to a great extend lately. Especially since the break down of the Bretton Wood system in the early 1970’s, when many countries introduced a floating sys-tem instead. One of the most famous and often tested models is Jeffery A. Frankel’s Real Interest Differential (RID) model from 1979. This paper investigates which of the variables included in the model are affecting move-ments in the exchange rate for Sweden, the UK and Japan against the US dollar between January 1995 and December 2004. The variables in question are money supply, industrial production, interest rate and inflation differential. The model has purchasing power parity and uncovered interest parity as underlying theoretical assumptions, two main building blocks of open macro economics, and when combined, they can offer a relationship be-tween changes in the exchange rate and the interest rate differential. The results show that the variable interest rate differential constitutes a significant explana-tory variable for exchange rate movements regarding all three countries included in the model. Both Sweden and the UK have also, in accordance with the RID model, the ex-pected negative sign on the coefficient. The results regarding the other variables are mixed between the countries, but it can in general be said that the model seems to be able to ex-plain movements in the exchange rate to a certain degree.

This study seeks to assess the correlation which exists between exchange rate of Nigerian naira and Unites States dollar and oil price on the basis of monthly data from 1999-2009. The research employ the fundamental variables which were assumed to be the monthly spot crude oil price, monthly exchange rate of Nigeria naira and monthly exchange rate of United States dollar. The empirical result adopted the ordinary least square using regression analysis and also the correlation model which shows that there is a weak/negative relationship between exchange rate and oil price as there are other factors that brings about changes in oil price other than the exchange rate. The activities of cartel pricing policy and oil speculators too have come to greatly affect the price of crude oil, and it will be interesting to examine the impact speculators have on the change in price of crude oil against the normal drivers of crude oil price.

In this study, different from previous studies, the explanatory power of Student-t distribution is compared to normal distribution by employing both standard GARCH and EGARCH models to dollar/ lira (USD/TRY) exchange rate. Then the impact of Central Bank of Republic of the Turkey&rsquo / s (CBRT) decisions and actions on both the level of exchange rate and the volatility is investigated. Moreover the relationship between volatility and market liquidity is examined using spot foreign exchange (FX) market volume as a proxy. The results reveal that, in contrast to preceding findings, Student-t could not capture the leptokurtic property better than normal distribution does. Furthermore, an increase in Turkish government benchmark bond rates, CBRT FX purchase interventions and announcement of suspending/ decreasing-the-amount-of FX auctions lead Turkish lira to depreciate. Because of the significant positive leverage effect, the results of GARCH and EGARCH variance equations differ so much. Thereby the results should be evaluated cautiously. In addition it is observed that, only EGARCH model gives significant results when the spot market trading volume is included in the models

No description available.

<p>Trying to find explanations to movements in the exchange rate is something that econo-mists have been dealing with to a great extend lately. Especially since the break down of the Bretton Wood system in the early 1970’s, when many countries introduced a floating sys-tem instead. One of the most famous and often tested models is Jeffery A. Frankel’s Real Interest Differential (RID) model from 1979.</p><p>This paper investigates which of the variables included in the model are affecting move-ments in the exchange rate for Sweden, the UK and Japan against the US dollar between January 1995 and December 2004. The variables in question are money supply, industrial production, interest rate and inflation differential. The model has purchasing power parity and uncovered interest parity as underlying theoretical assumptions, two main building blocks of open macro economics, and when combined, they can offer a relationship be-tween changes in the exchange rate and the interest rate differential.</p><p>The results show that the variable interest rate differential constitutes a significant explana-tory variable for exchange rate movements regarding all three countries included in the model. Both Sweden and the UK have also, in accordance with the RID model, the ex-pected negative sign on the coefficient. The results regarding the other variables are mixed between the countries, but it can in general be said that the model seems to be able to ex-plain movements in the exchange rate to a certain degree.</p>

The purpose of this thesis is to investigate and analyze the effect of exchange rate volatility between the euro and the Mexican peso on the exports from the first eleven euro area countries (EA-11) to Mexico. The ten product groups recognized by the Standard International Trade Classification (SITC) are dealt with separately in identifying the influence of exchange rate volatility on the exports. Aggregated data for exchange rates and trade between 1999 and 2008 are analyzed using regressions. In addition to the exchange rate volatility, the variables included in the analysis are: the industrial production index (IPI) of the EA-11 countries, the IPI for Mexico, the nominal exchange rate between the two currencies, the consumer price index (CPI) in Mexico and the harmonized indices of consumer prices (HICPs) for the EA-11. The reaction of trade to exchange rate volatility is a fundamental issue in macroeconomics. It has taken more importance in the recent decades as the scope of international transactions has expanded and the economic activity of one country affects other countries. There have been several studies about the relation between the exchange rate volatility and its influence on trade that have arrived to different results. The conclusion of this thesis is that the exchange rate volatility has a positive and highly significant effect in the exports of only one of the ten evaluated product groups.

No description available.

Submitted by Renata Lopes (renatasil82@gmail.com) on 2015-12-08T13:19:32Z No. of bitstreams: 1 karendiascorrea.pdf: 4111220 bytes, checksum: 763076d4718dfcb2597f2ba14764202a (MD5) / Approved for entry into archive by Adriana Oliveira (adriana.oliveira@ufjf.edu.br) on 2015-12-09T13:41:48Z (GMT) No. of bitstreams: 1 karendiascorrea.pdf: 4111220 bytes, checksum: 763076d4718dfcb2597f2ba14764202a (MD5) / Made available in DSpace on 2015-12-09T13:41:48Z (GMT). No. of bitstreams: 1 karendiascorrea.pdf: 4111220 bytes, checksum: 763076d4718dfcb2597f2ba14764202a (MD5) Previous issue date: 2015-08-06 / Este trabalho tem como objetivo analisar o efeito de longo prazo da volatilidade da taxa de câmbio real efetiva sobre os produtos básicos, semimanufaturados e manufaturados exportados do Brasil para os principais parceiros econômicos, sendo estes Estados Unidos, União Europeia e MERCOSUL. A literatura teórica é controversa com relação aos efeitos esperados da volatilidade sobre as exportações. O presente estudo avança em relação à literatura empírica reunida aqui em duas direções: na metodologia de mensuração empregada na volatilidade e na categoria de produtos utilizados. Para tanto, foi empregada a abordagem de cointegração via modelo ARDL e o teste de Fronteira de Pesaran et al. (2001). Os principais resultados do trabalho são que há evidência de que a volatilidade tem um impacto negativo sobre as exportações brasileiras com destino ao MERCOSUL. Quanto às exportações para os Estados Unidos, os resultados são contraditórios, dado que apresentaram uma relação negativa entre a volatilidade e exportações dos produtos manufaturados e semimanufaturados e uma relação predominantemente positiva na análise desagregada em capítulos da NCM. Por fim, para a União Europeia, apenas na análise desagregada ocorreu a relação estatística de longo prazo entre volatilidade e exportações. Neste caso, a predominância das relações foi negativa. / This work aims to analyze the long-term effect of the volatility of the real effective exchange rate on commodities, semi-manufactured and manufactured products exported from Brazil to the main economic partners, which are the United States, European Union and MERCOSUR. This study improved regarding the empirical literature in two directions: in the measurement methodology used in volatility and in the category of used products. For this we used the approach of cointegration via ARDL model by Border test Pesaran et al. (2001). The main results of the work are that there is evidence that volatility has a negative impact on Brazilian exports to MERCOSUR. For exports to the United States the results are contradictory, given that showed a negative relationship between volatility and exports for manufactured and semi-manufactured goods and a largely positive relationship in the disaggregated analysis of NCM chapters. Finally, for the European Union only a disaggregated analysis was the long-term statistical relationship between volatility and exports. In this case, the dominance relations was negative.