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This study employed the behavioral equilibrium exchange rate (BEER) approach to establish whether or not there is an exchange rate (mis-)alignment in Zimbabwe. The country is characterized by strong and significant deviations between the official and parallel exchange rates and high inflationary pressures which result in macroeconomic and financial instability leading to dwindled economic growth. Among others, the BEER model analysed the significance of macroeconomic variables in influencing exchange rates and also assessed episodes (or states) of over- and under valuation of the currency. The results indicate that all variables except investment (INV) are significant in explaining the BEER. These variables are terms of trade (TOT) which include price of gold, capital flows (CAP) and government spending (GOV) are all highly significant at the 1% level whilst trade openness (OPEN) is weakly significant at the 10% level. The results also indicate that episodes of over-valuation outweighed and outnumbered episodes of under-valuation during the study period 1980 to 2018. The study concludes that exchange rate volatility may originate from factors other than macro fundamentals given the split system that exist between the official and unofficial (parallel) exchange rates. Thus, in addition to correct regulation of macro variables, there is also need to build trust in order to curb speculation, corruption and arbitrage behaviors which amplify distortions.

This article studies how the monetary policy regime affects the relative importance of nominal exchange rates and inflation rates in shaping the response of real exchange rates to shocks. We document two facts about inflation-targeting countries. First, the current real exchange rate predicts future changes in the nominal exchange rate. Second, the real exchange rate is a poor predictor of future inflation rates. We estimate a medium-size, open-economy DSGE model that accounts quantitatively for these facts as well as other empirical properties of real and nominal exchange rates. The key estimated shocks that drive the dynamics of exchange rates and their covariance with inflation are disturbances to the foreign demand for dollar-denominated bonds.

This research aims to find out and analyze the effect of the bonus mechanism, tunneling incentive, and exchange rate on company decisions to perform transfer pricing practices in 35 manufacturing and mining sector companies listed on the Indonesia Stock Exchange for the 2018–2020 period. The population of this research is used in the manufacturing and mining sectors listed on the Indonesia Stock Exchange (IDX).  This research is a type of quantitative research using secondary data in the form of the company’s annual report and financial statement. The Random Effect Model (REM) with panel data regression was used in this study using STATA version 16. Based on the test results and analysis, it can be concluded that the bonus mechanism has a significant positive effect on transfer pricing, the exchange rate has a significant negative effect on transfer pricing, and the tunneling incentive has no effect on transfer pricing.

How strong are strategic complementarities in price setting across firms? In this article, we provide a direct empirical estimate of firms’ price responses to changes in competitor prices. We develop a general theoretical framework and an empirical identification strategy, taking advantage of a new micro-level dataset for the Belgian manufacturing sector. We find strong evidence of strategic complementarities, with a typical firm adjusting its price with an elasticity of 0.4 in response to its competitors’ price changes and with an elasticity of 0.6 in response to its own cost shocks. Furthermore, we find evidence of substantial heterogeneity in these elasticities across firms. Small firms exhibit no strategic complementarities in price setting and complete cost pass-through. In contrast, large firms exhibit strong strategic complementarities, responding to both competitor price changes and their own cost shocks with roughly equal elasticities of around 0.5. We show that this pattern of heterogeneity in markup variability across firms is important for explaining the aggregate markup response to international shocks and the observed low exchange rate pass-through into domestic prices.

We dissect the impact of a large and sudden exchange rate appreciation on Swiss border import prices, retail prices, and consumer expenditures on domestic and imported nondurable goods, following the removal of the EUR/CHF floor in January 2015. Cross-sectional variation in border price changes by currency of invoicing carries over to consumer prices and allocations, impacting retail prices of imports and competing domestic goods, as well as import expenditures. We provide measures of the sensitivity of retail import prices to border prices and the sensitivity of import shares to relative prices, which is higher when using retail prices than border prices.

The automotive industry is one of the South African industries that contribute to the manufacturing output and exports and plays important to the country’s economic performance. However, the export volume from this industry depends on various economic factors that include foreign direct investment, domestic investment and exchange rate volatility. The current study aims to determine empirically these three variables on the export volume in the South African automotive industry. To achieve this objective, the authors applied the autoregressive distributed lag (ARDL) model, ECM and causality test on quarterly time series data from 2008 to 2021. The study findings reveal that in the long run, domestic investment has a dominant positive effect on exports from the automotive industry. However, while both domestic investment and exchange rate are inversely related to the export in the short run, foreign direct investment is positively significant to increase export levels. The study recommends, based on these findings, the implementation of strategies that enhance growth in domestic investment and cautious management of foreign direct investment as the latter is more effective in the short run. Additionally, the monetary policymakers should, in each policy introduced and implemented, aim for the stability of the domestic currency and its effect on exports, especially in the automotive industry. 

Foreign currency debt is considered a source of financial instability in emerging markets. We propose a theory in which liability dollarization arises from an insurance motive of domestic savers. Since financial crises are associated to depreciations, savers ask for a risk premium when saving in local currency. This force makes domestic currency debt expensive, and incentivizes borrowers to issue foreign currency debt. Providing ex post support to borrowers can alleviate the effect of the crisis on savers’ income, lowering their demand for insurance, and, surprisingly, it can reduce ex ante incentives to borrow in foreign currency.

For countries that participate in international trade, exchange rate management is crucial as the exchange rate affects the competitiveness of the country in international trade. This affects the country’s balance of payments (BOP) position and economic growth. This paper, therefore, set out to find out how Covid-19 containment measures have affected the Malawi Kwacha-US Dollar exchange rate, as well as money supply. Previous studies have assessed the short-term impacts of Covid-19 on the Malawian economy in general, without considering how they have affected the exchange rate and money supply. This study adds to the literature by analyzing how the Covid-19 containment measures have affected the exchange rate, and consequently, the money supply in Malawi. The study employs the dummy variables approach and the vector error correction (VEC) model to find out if there is a structural change in the exchange rate regression over time and whether that structural change in the exchange rates affects the money supply. Regression results indicate that there is a structural break in the regression over time and that the Malawi Kwacha appreciated following the breakout of the pandemic. Additionally, the results from the Error Correction Model have indicated that the appreciation of the Malawi Kwacha, positively, affected the money supply in Malawi. As a policy implication arising from this study, policymakers are encouraged to take advantage of the prevailing donor goodwill and ensure that the various donations received are put to good use so that the Malawi Kwacha should continue being relatively strong against the United States Dollar. If this is not done, the Malawi Kwacha could, greatly, depreciate, a thing that can make the economy experience inflation thereby making people experience a lot of hardships caused by the Covid-19 pandemic.

We assess the properties of currency value strategies based on real exchange rates. We find that real exchange rates have predictive power for the cross-section of currency excess returns. However, adjusting real exchange rates for key country-specific fundamentals (productivity, the quality of export goods, net foreign assets, and output gaps) better isolates information related to the currency risk premium. In turn, the resultant measure of currency value displays considerably stronger predictive power for currency excess returns. Finally, the predictive information content in our currency value measure is distinct from that embedded in popular currency strategies, such as carry and momentum.

We assess the relationship between monetary policy, foreign exchange risk premia, and term premia including the period at the zero lower bound (ZLB). We estimate a structural vector autoregression including U.S. and foreign interest rates and exchange rates and identify monetary policy shocks through a method that uses high-frequency monetary policy surprises as the external instrument that achieves identification without using implausible restrictions. We split out effects of different types of monetary policy surprises that apply at the ZLB, including forward guidance and asset purchases. This allows us to measure the effects of policy shocks on expectations, and hence risk premia.