Inconsistency in the relationship between exchange rate volatility and export growth reflects differences among countries in the currency in which trade is invoiced. Also, exchange rate volatility may affect the allocation of trade more than its level.

The current economic crisis has witnessed a strong deceleration in the growth of international trade. This has been even greater in the cases of the European Union and the eurozone, where the rates of export growth have even reached negative figures. In this paper, the authors examine to which extent exchange rate volatility might account for the drop in the rate of growth of exports in the eurozone since the start of the crisis. To that end, they estimate export functions, augmented to include several measures of exchange rate volatility, for the four largest economies of the eurozone, i.e., France, Germany, Italy and Spain, for the period 1994:1–2014:4. In the empirical application, the authors make use of two alternative measures for exchange rate volatility, i.e., (i) the Standard deviation and (ii) the conditional variance from the GARCH methodology, of the change in the logarithm of the exchange rate, for both nominal and real exchange rates, and in the latter case computed using as deflators both Export prices and unit labour costs. The empirical results show no clear-cut evidence on the impact of exchange rate volatility on the exports of the countries analysed, suggesting that financial markets were developed enough so that exchange rate volatility does not hinder the evolution of exports.

Master's Thesis from the year 2018 in the subject Economics - International Economic Relations, grade: A, National University of Ireland, Maynooth (Department of Economics, Finance and Accounting), course: MSc Economic and Financial Risk Analysis, language: English, abstract: The purpose of this thesis is to examine the effect of real exchange rate volatility between the Canadian and US dollars on real exports from Canada to US. The study uses quarterly data from 1960-2017. The GARCH (1, 1) is used to model exchange rate volatility. After finding the variables are non-stationary with no co-integration, a VAR (Vector Auto regression) model is used to investigate the short-run relationship in the variables using Granger causality, impulse response functions and variance decomposition estimates. The results reveal that the effect of exchange rate volatility is of mixed signs with coefficients that are not statistically significant. The thesis is divided into 7 chapters; chapter 2 gives an overview of important literature and contributions by researchers over the years specifically covering the relationship between exchange rate volatility and trade, exchange rate regimes, exchange rate target zones and inflation targeting. Chapter 3 presents the model and data used, definitions of the variables and the predictions of the model. Chapter 4 gives a theoretical and econometric overview of the unit root and co-integration tests. Chapter 5 gives the data output of the empirical results and discussions of test results. This output is presented using graphs and tables. Chapter 6 is a presentation of the limitations of the model and possible areas of improvement. Lastly, chapter 7 concludes and gives policy recommendations moving forward. Exchange rates are a key player in any economy that is engaging in international trade. A stable monetary policy system and financial sector play a key role in ensuring the exchange rate stability of the currency of a country. Firms and traders rely on prevailing exchange rates to forecast amounts to produce, import and export; thus are very much affected by the exchange rate volatility. In addition to this, there is a currency conversion cost in international trade. Traders use a number of products in financial markets to hedge against currency fluctuations; these include among others forwards contracts. This is especially true for short-term hedging than long-term hedging.

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Sercu and Uppal examine volatility of exchange rates in the context of dynamic general equilibrium models.