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The paper aims at developing a theoretical model for de facto dollarized small open economies focusing on currency substitution and nominal wages indexation to the exchange rate.

The analysis is performed in a general equilibrium “New Open Economy Macroeconomics” framework with nominal rigidities and imperfect competition in the nontraded good sector.

The paper finds that a dollar‐indexed economy with low degrees of payments/financial dollarization could experience higher costs in terms of exchange rate and output fluctuations when nominal shocks dominate real shocks, making stabilization programs more difficult to achieve in a rapid and less costly way.

The speed of adjustment of macro variables is faster in the highly dollarized economy as a response to a higher and more volatile inflation rate. A higher level of financial dollarization increases the frequency of domestic prices and wages revisions to nominal exchange rate shocks. This might explain, in turn, why nominal disturbances are shorter lived in the higher dollarized economies, and the asymmetry between financial and real dollarization

Contrary to the “conventional wisdom” that predicts a positive relationship between the degrees of dollarization and the exchange rate pass‐through, our model shows that the degree of dollarization and the degree of dollar indexation are not necessarily the same or even correlated.

Using data for a sample of advanced and developing countries, this paper aims to study the responses of monetary growth and the growth of government spending to external spillovers, namely, the growth of exports and imports, movement in the real effective exchange rate and the change in the oil price. The objective is to study movements in domestic policy variables in open economies that are vulnerable to trade and commodity price shocks.

The analysis evaluates correlations between the responses of the policy variables to external spillovers. Further, the analysis studies the effects of indicators of economic performance on domestic policy responses to various shifts across countries.

Higher variability of real and nominal growth increases the fiscal policy response to external spillovers with an aim to stem further variability. Monetary policies appear to be more responsive to trend price inflation with an aim to stem further inflationary pressures. Fiscal policy’s reaction to trend price inflation aims at striking a balance between countering potential inflationary pressures, as well as recessionary conditions attributed to the various spillovers.

Overall, the evidence points to the importance of trade and commodity price shifts to the design of domestic policies. Further indicators of economic performance differentiate the degree of policy responses to trade and commodity price developments with a goal to stem inflationary pressures and reduce aggregate uncertainty.

This study aims to examine the relationship between exchange rate risk and export at commodity level for the Indian case.

The monthly panel data used for analysis are at a disaggregated level, which cover around 100 products, encompassing all merchandize sectors for the period spanning from 2012:12 to 2017:11. To measure the exchange rate volatility, the authors use real as well as nominal exchange rate concepts and predict the volatility of exchange rate using the autoregressive conditional heteroscedastic-based model. They use pooled mean group, mean group and common correlated effects mean group estimator that is suitable for the objectives and data frequency.

The empirical analysis indicates both short- and long-term negative effects of exchange rate variations on exporting. Specifically, in the long run, real exchange rate as well as nominal exchange rate volatility has significant effects on export performance, yet, the effects of uncertainty of nominal exchange rate is much severe and intense. In the short run, it is the nominal exchange rate uncertainty that hurts exports from India. Nevertheless, the short-run effect is much lesser than the long-run, supporting the argument that the short-term exchange rate risk can be hedged, at least partially, through financial instruments; however, uncertainty of the long-term horizon cannot be hedged easily and cost-effectively.

Reducing uncertainty and attaining stability in exchange rate and price level should be an important policy objective in developing countries such as India to achieve higher export growth, both in the short and long run.

Unlike previous studies, this paper tests the relationship using micro-level data and uses advanced econometric techniques that are likely to provide more precise information regarding the association between exchange rate volatility and trade flows.

This paper aims to examine regime switching behaviour of the nominal exchange rate in Uganda to shed light on the necessity (as well as efficacy) of the participation of the central bank market.

The homogenous two‐state Markov chain methodology was employed to investigate the possibility of regime changes in the nominal exchange rate. The maximum likelihood parameter estimates were obtained using the Broyden‐Fletcher‐Goldfarb‐Shanno iteration algorithm.

The results validate the expectation of the two distinct state spaces characterized as sharp and disruptive but short‐lived depreciations as well as small appreciations occurring through a long period. The central bank intervention actions are shown to be largely successful in mitigating the disruptive effects of the sharp depreciations.

The paper lends empirical support to the intervention actions of the Bank of Uganda. In face of the numerous disruptions to the short‐term exchange rate process, failure to intervene may cause rational panic and given the nature of investor behavior, this may quickly spread and even cause further disruptions. It is important for the central bank to send signals that these disruptions are temporary.

The homogenous Markov chain specification employed in this study makes it possible to avoid the pitfalls that may arise by attempting to specify a structural model for the exchange rate. In addition, inference about the different possible state spaces is made on the basis of all available information.

The purpose of this paper is to explore the extent of the so-called “small-sample problem” within quantitative exchange-rate risk management.

The authors take a closer look at the frequency distribution of nominal price changes in the European foreign exchange markets.

The analysis clearly illustrates the risk of seriously underestimating the probability and magnitude of tail events when frequency distributions are derived from fairly short data samples.

The authors suggest that financial institutions and regulators should have an eye for the long-term historical perspective when designing sensitivity tests or “worst case” scenarios in relation to risk assessments and stress tests.

The authors add to the literature by analysing the distribution of nominal exchange-rate fluctuations on the basis of a unique quarterly data set for ten European exchange-rate pairs covering a time span of 273 years constructed by the authors. To the best of the authors' knowledge this is the first study on nominal exchange-rate changes for a large number of exchange-rate pairs based on quarterly data spanning almost three centuries.

This paper examines and dissects eight popular conjectures about exchange rates. The conjectures are: there exists a systematic linkage between economic fundamentals and exchange rates; flexible exchange rates are unstable due to destabilising speculation; flexible exchange rates are excessively volatile; the foreign exchange market is efficient; purchasing power parity holds; volatile exchange rates are harmful to trade; depreciating exchange rates trigger a “vicious” inflationary circle; and countries with current account deficits have depreciating exchange rates. The main message is that there is weak theoretical and empirical support for the majority of the conjectures. Only one proposition, relative PPP has strong empirical support but its policy relevance is weakened by the difficulty of interpreting departures from PPP. The remaining group for which there is inconclusive support presents the greatest challenge to research and policy as it includes the first conjecture.

Financial theory predicts that a change in an exchange rate should affect the value of a firm or an industry. To a large extent, past research has not supported this theory, which is surprising especially after considering the substantial exchange rate fluctuations over the three decades. This study seeks to extend previous research on the foreign exchange rate exposure of UK nonfinancial companies at the industry level over the period 1981‐2001.

In this study, exchange rate exposure is defined as the change in the value of the firm or industry due to the changes in exchange rates. This study differs from previous studies in that it considers the impact of the changes (actual and unexpected) in exchange rates on firms’ or industries’ stock returns. The approach employs OLS model to estimate foreign exchange rate exposure of 364 UK nonfinancial companies over the period 1981‐2001. All data are collected from the Datastream database.

The findings indicate that a higher percentage of UK industries are exposed to contemporaneous exchange rate changes than those reported in previous studies. There is also evidence of significant lagged exchange rate exposure. This lagged exchange rate exposure is consistent with findings in previous studies that may exist some market inefficiencies in incorporating exchange rate changes into the returns of firms and industries.

Future research in the area should consider additional factors that might affect a firm's and an industry's exposure to exchange rate changes.

The findings of the study have interesting implications for public policy makers who wish to understand links between policies that affect exchange rates and relative wealth affects. These findings should also be of particular importance to investors who under or overweight large multinational corporations.

The study extends previous research on foreign exchange rate exposure of UK companies.

The purpose of this paper is to empirically analyse how different exchange rate regimes affect the links between monetary fundamentals and exchange rates in Sub-Saharan Africa.

Using the Pedroni method for panel cointegration, mean group and pooled mean group and the panel vector autoregressive technique, this study empirically investigates whether monetary fundamentals impact exchange rates similarly in both regimes. Thus, the author acquires needed and credible empirical data.

The result suggests that the impact is dissimilar. In the floating regime, an increase in relative money supply and relative real output depreciates and appreciates the nominal exchange rate in the long run whereas in the non-floating regime, the evidence is mixed. Thus, exchange rates bear a theoretically consistent relationship with monetary fundamentals across SSA countries with floating regimes but fails under non-floating regimes. This provides evidence that regime choice is important if the relationship between monetary fundamentals and exchange rates in SSA are to be theoretically consistent.

This study empirically incorporates the dissimilarities in exchange rate regimes in a panel framework and study the links between exchange rates and monetary fundamentals. The focus on how exchange rate regimes might alter the equilibrium relationships between exchange rates and monetary fundamentals in SSA is a pioneering experiment.

Examines the effects of a monetary expansion on certain key macroeconomic variables, in particular the nominal exchange rate, competitiveness, and domestic output and employment, using a modified version of the Dornbusch (Journal of Political Economy, 1976) model. Dornbusch′s original analysis of the implications of sticky prices was conducted on the basis of two alternative assumptions concerning the supply side of the economy, a fixed (full‐employment) level of output and (in his Appendix) continuous goods market clearing, maintained by instantaneous output adjustment. Neither of these assumptions appears particularly satisfactory and the model presented here attempts to address the issue by assuming output to be instantaneously fixed, but to respond gradually to excess demand or supply in the goods market. The structure of the resulting model is such as to imply a third‐order dynamic adjustment process which is solved explicitly. Two principal conclusions follow from the analysis. First, despite the fact that the monetary expansion inevitably reduces the domestic interest rate, nominal exchange rate overshooting need not result. Second, the dynamics of adjustment are considerably more complicated than in the original Dornbusch model and may, in fact, be cyclical in nature.

Since the last review article by McKenzie, the literature has experienced a surge in the number of empirical articles. These new contributions, coupled with those that were overlooked by McKenzie, set the stage for this review. Many of the recent studies have been empirical in nature and these deserve specific attention. Thus, this paper aims to survey and review all of the studies by paying attention to the attributes outlined in the text.

This paper examines the vast empirical literature, up to 2005, to assess the main trends in modeling and estimating these trade flows at the aggregate, bilateral, and sectoral levels.

The increase in exchange‐rate volatility since 1973 has had indeterminate effects on international export and import flows. Although it can be assumed that an increase in risk may lead to a reduction in economic activity, the theoretical literature provides justifications for positive or insignificant effects as well. Similar results have been found in empirical tests. While modeling techniques have evolved over time to incorporate new developments in econometric analysis, no single measure of exchange‐rate volatility has dominated the literature.

An argument put forward by the opponents of the floating exchange rates is that such rates introduce uncertainty into the foreign exchange market, which could deter trade flows. However, a theoretical argument is put forward by some to show that uncertainty could also boost trade flows if traders increase their trade volume to offset any decrease in future revenue due to exchange rate volatility. The empirical literature reviewed in this paper supports both views.