Exchange Rate Movements Research Articles

Analysis of the Fluctuations of ASEAN Currencies Against the US Dollar

At the beginning of 2024, from January to April, there was a downward trend in the rupiah exchange rate against the United States dollar. This downward trend also occurred in various countries in ASEAN. This trend is of course influenced by several factors, both internal and external. This research aims to analyze the internal and external factors that cause this tendency. The data in this research is secondary data and comes from the International Monetary Fund (IMF) at CEIC. This research uses descriptive analytical-qualitative methods. The results of this research show that interest rates, inflation, and net exports in the short term do not have a significant effect on exchange rate movements. However, this depreciation factor trend is more influenced by global geopolitical problems and the size of a country's economy. Geopolitical issues and the size of the economy affect a country's balance of payments (BOP) and foreign exchange reserves, which in turn influence exchange rate movements. Researchers hope that this research can provide new information for the academic community and become material for consideration, suggestions, and input for government authorities who have internal decision-making authority regarding exchange rates.

Parameter instabilities and monetary policy in a small open economy: Evidence from an estimated model for the UK

This paper reconsiders whether monetary policy in small open economies responds to exchange rates by studying possible parameter instabilities in a Dynamic Stochastic General Equilibrium model. The main focus of the paper is to revisit preceding evidence on the response to exchange rate movements by the Bank of England and determine if its reaction function has remained constant throughout the sample. To this end, I estimate a small open economy general equilibrium model using Bayesian econometric techniques over rolling windows. I find overwhelming evidence of shifts in several parameters, including those related to the policy rule. Furthermore, posterior odds tests reveal a time-varying response to exchange-rate fluctuations by the monetary authorities. The results favor the model with the nominal exchange rate embedded in the policy rule for the initial subsamples. However, the evidence steadily evolves across windows and ultimately changes to prefer the model specification with no exchange rate. The paper also documents evident variations in the model dynamics derived from the instability of parameters via rolling-window impulse response functions and variance decomposition analysis.

Asymmetric Effects of Real Exchange Rate on Turkey's Imports: Threshold Value Regression Model

Determinants of imports are one of the most discussed topics in the foreign trade literature. This study explores the asymmetric relationship between the real exchange rate and imports for Turkey example. The paper employs monthly data spanning from 2013:01 to 2023:06, estimating classical least square estimation and Threshold Regression Models, subsequently comparing their outcomes. The findings highlighted that the relations between imports and real exchange rate are asymmetric. According to the least square estimation model, it was noted that the real exchange rate had a negative impact on imports, aligning with anticipated outcomes. In the threshold regression model, it was seen that movements in the real exchange rate positively affected imports in the model below the threshold, while exerting a negative effect in the model above the threshold. This finding was interpreted as increasing imports by buying the expectation that the exchange rate increases, which are below the internalizable level, may increase further. It is considered essential for policymakers to take into account asymmetric relationships when analyzing the relationships between imports and the exchange rate.

Exchange rate fluctuations and industrial production in Malaysia: evidence from dynamic simulated ARDL analysis

Contemporary literature argues that the exchange rate serves as an important instrument of industrial policy to boost economic growth. However, it is difficult to design effective exchange rate policies owing to the uncertainty shrouding the outcomes of the exchange rate movement for industrial growth. Therefore, this study uses a dynamic simulated autoregressive distributive lags approach to study the impact of positive and negative changes in the real effective exchange rate on industrial production of Malaysia for the period 1970–2022. We employ an extended production function to study this relationship by incorporating capital, labour and globalisation as additional explanatory variables. The findings suggest that positive (negative) changes in real effective exchange rate are followed by positive (negative) changes in economic growth in the long run. Furthermore, positive changes in capital affect economic growth positively and significantly in both the short and long run. Finally, positive (negative) movement in labour and globalization positively (negatively) and significantly affect industrial production in the long run respectively. Policymakers should depreciate currency to expand industrial production in Malaysia. Moreover, to boost industrial production, short-term loans should be introduced for capital accumulation.

EXCHANGE RATE DYNAMICS AND THEIR IMPLICATIONS

This research paper explores the dynamics of exchange rate fluctuations and their far-reaching implications for the global economy. Exchange rates are pivotal in shaping trade balances, inflation, and capital flows, making them a critical factor for policymakers, multinational corporations, and investors. By examining both theoretical frameworks and empirical evidence, this study analyzes the effects of exchange rate movements on key economic variables such as inflation rates, gross domestic product (GDP), foreign direct investment (FDI), and international trade balances. The paper employs a combination of econometric modeling and historical data analysis to evaluate how these fluctuations have influenced emerging and developed economies over the past two decades. Results indicate that exchange rate volatility can lead to inflationary pressures in import-dependent economies, disrupt trade balances, and influence FDI inflows. The findings also underscore the importance of stable exchange rate policies to mitigate economic uncertainty. This study concludes with recommendations for future research, particularly regarding the influence of digital currencies and geopolitical tensions on exchange rate stability.

Cyclinaclity Effects of Exchange Rates and Oil Prices

Understanding the concept of time scales is crucial when modeling economic and financial decisions. Within the time-frequency domain, this study delves into the relationship between fluctuations in oil prices and exchange rates across major oil-importing and exporting countries. The investigation employs various cross-wavelet techniques within the continuous wavelet transform framework, with a particular focus on wavelet coherence and phase-difference over the period 2000 to 2020. The results underscore a notable diversity in the connection between the oscillations of oil prices and exchange rates across diverse countries. This relationship is subject to temporal variations and is contingent upon the specific time horizon under consideration. In particular, our analysis reveals strong co-movements between oil prices and exchange rates across various time intervals and frequencies. Importing oil countries like New Zealand, Singapore, Brazil, and Taiwan exhibit particularly pronounced co-movements. Similarly, exporting oil countries such as Kuwait, Mexico, Russia, and Canada also display strong associations between oil prices and exchange rates. These correlations are intricately tied to key macroeconomic events, further highlighting the complex interplay between oil prices and exchange rate movements in different global regions. While a robust connection is evident in numerous countries, the strength of the relationship appears significantly weaker in several others. This variance underscores the nuanced nature of the association between the fluctuations in oil prices and exchange rates across the global landscape.

Export of agricultural products as a determinant of currency security of Ukrainian economy

Purpose. The purpose of this study is the development of the methodological approach for estimation the impact of agri-food exports on the monetary sphere of Ukraine in order to substantiate the prospective directions of the export potential of agricultural products as the factor in ensuring the currency security of Ukraine. Methodology / approach. The following methods were used: literature review in determining the main trends in the export of agricultural products based on the analysis of publications; economic and statistical analysis to assess the impact of key factors on the formation of the export potential of agricultural products and its impact on exchange rate formation; ARDL modelling, Dickey-Fuller, and Engle-Granger tests to estimate the impact of different factors on exchange rate changes. Results. The paper highlights the immediate and delayed influence of selected factors on the dynamics of the exchange rate in Ukraine, showing that the export of food products and raw materials for their production can significantly strengthen the national currency in the long-run. The continuous growth in food exports contributes to a slower appreciation of the exchange rate, which ultimately leads to a stronger national currency. Therefore, the strategy of focusing on increasing food exports can play a vital role in bolstering the Ukrainian currency in the long-run by exerting a positive influence on the exchange rate dynamics and contributing to the overall economic stability. Originality / scientific novelty. The study contributes to the understanding of the complex interplay between war, food security, and economic stability. The novelty implies the ARDL model of the influence of agricultural exports on the currency and exchange rate sphere of the Ukrainian economy. Additionally, the analysis adds new dimension to the discussion on the strategic importance of the agricultural sector for foreign exchange reserves and currency accumulation. Practical value / implications. The practical value is that understanding the relationship between export volumes, global prices, and exchange rate movements can help in predicting and managing currency fluctuations more effectively. By identifying the time frames for the return of exchange rate shocks to their long-term equilibrium and the impact of various factors on currency valuation, the study aims policy-making processes at ensuring currency security for the state.

Long-Run Trade Relationship between the U.S. and Canada: The Case of the Canadian Dollar with the U.S. Dollar

This study investigates the long-run relationship between the U.S. dollar and the Canadian dollar by analyzing the bilateral exchange rate induced by nominal and real shocks. The methodology centers on a structural vector autoregressive (SVAR) model, including the analysis of impulse response and variance decomposition to account for the impact of nominal and real shocks on exchange rate movements. This study also decomposes real shocks into demand and supply factors from both Canada and the U.S. and compares their impacts on the nominal and real exchange rates. The results are compared to shocks driven by country-specific nominal factors. This study uses quarterly data from December 1972 to December 2023. The findings suggest that real shocks have a permanent impact on both the nominal and real exchange rates, compared to nominal shocks, which have a temporary impact. Country-specific real supply-side factors have a more significant impact than country-specific real demand-side factors. Country-specific nominal factors barely impacted the nominal and real exchange rates between the U.S. and Canada.

Exchange rate flexibilization and macroeconomic determinants: Evidence from MENA region

Many emerging economies have significantly changed their economic policies by adopting floating exchange rate regimes. This article aims to investigate the relationship between exchange rate variations and key macroeconomic indicators in the MENA region, focusing specifically on Egypt, Tunisia, and Turkey. The study employs regression analysis to explore how macroeconomic factors such as inflation, interest rates, trade balances, foreign exchange reserves, etc. influence exchange rate movements in these economies. By conducting a comprehensive regression model, we aim to provide insights into the complex dynamics of exchange rate fluctuations and their implications for economic stability and policymaking in the MENA region.

Asymmetry and non-linearity in exchange rate pass-through: Evidence from scanner data

Using retail scanner data from Kazakhstan, an emerging economy with significant and unexpected exchange rate fluctuations, we observe an incomplete yet substantial exchange rate pass-through (ERPT) into prices. Specifically, we note a 50% change occurring a year after the initial shock. The ERPT demonstrates asymmetry in response to exchange rate movements. Notably, the direction of this asymmetry is opposite for imported versus domestic products. Furthermore, our findings indicate that ERPT is non-linear; the price response is more pronounced when the exchange shock is small, aligning with the existence of menu costs. Understanding these asymmetric and non-linear price responses to exchange rate shocks may be crucial for formulating effective inflation targeting policies, especially in emerging economies prone to high inflation.

The Effects of Various Internal and External Factors on the Movement of the Indonesian Sharia Stock Index on the Indonesia Stock Exchange

This study analyzed several factors that affect the Indonesian Sharia Stock Index. The use of the inflation-currency rate, the availability of money, and the BI rate were all internal factors considered in this study. Meanwhile, the external factors used in this study were international gold and oil prices. The Engle-Granger Error Correction Model was used to analyze time series data in this study. The research used the monthly period started from May 2013 until January 2022. The long-term results of the research variables that could influence the exchange rate, total money supply, world oil prices, and world gold prices were all dependent on the Indonesian Sharia Stock Index. Meanwhile, the factors that influence the short-term movement of the ISSI exchange rates were inflation, and the BI rate variables.

분포동학을 통한 중국 위안화 환율의 안정성 및 결정요인 분석

This study is focused on the stability and determinants of the Chinese Yuan (CNY) against the U.S. dollar exchange rate movement. To this end, a distribution dynamics model is introduced. We establish the non-linearity of the Generalized normal (GEN) distribution and estimate the impact of macroeconomic variables, such as interest rates, on exchange rate dynamic conditional probability density functions (PDFs). As the distribution allows for fluctuations in the exchange rate, the conditional probability density function (PDF) reveals a time-varying multimodality (i.e., unimodality and bimodality), based on the change in the shape parameters of the generalized normal (GEN) distribution. A unimodal distribution corresponds to a stable equilibrium for exchange rate movement. In contrast, a bimodal distribution contains an unstable equilibrium. Moreover, the bimodality may offer insights into the exchange rate fluctuations resulting from foreign exchange crises or global financial crises. In contrast with previous research on the linearity between macroeconomic variables and exchange rate movements, this study presents novel evidence on the dynamic non-linearity distribution of CNY exchange rate movements and their determinants. Our empirical analysis results will serve as a reference point for macroeconomic policymakers.

Exchange rate movements and trade balance in developing economies: Evidence of symmetry and country-specific asymmetries

The impact of exchange rate (ER) movements on the trade balance has been extensively debated in the literature, with conflicting views on the nature and magnitude of this effect. This paper investigates the relationship between ER movements and trade balance in developing economies, with a specific focus on bilateral analysis involving Pakistan. Employing the Nonlinear Autoregressive Distributed Lag (NARDL) model, our results reveal a symmetric relationship between positive and negative ER changes and the trade balance, showing significant long-term and short-term effects across the panel of developing economies. However, country-specific asymmetries are observed, especially in the cases of India and China, and are more pronounced in each bilateral analysis, whether in the short run or long run. The study findings highlight the critical importance of maintaining a stable exchange rate policy, which can provide policymakers with precise insights into the money market and the broader economy while preventing high volatility and continuous depreciation of domestic currencies. Such measures can mitigate the long-term adverse effects of ER movements on trade agreements. The study offers valuable insights for policymakers and investors in developing economies, aiding them in making informed decisions about exchange rate policies.

Impact of Exchange Rate Movements on Foreign Direct Investment in Pakistan

Impact of Exchange Rate Movements on Foreign Direct Investment in Pakistan

Do FX interventions lead to higher FX debt? Evidence from firm-level data

Central banks often buy or sell reserves—so called FX interventions (FXIs)—to dampen sharp exchange rate movements caused by volatile capital flows. At the same time, these interventions may entail unintended side effects. In this paper, we investigate whether FXIs incentivize firms to take on more unhedged FX debt, thereby increasing medium-term corporate vulnerabilities. Using a novel dataset with close to 5,000 nonfinancial firms across 19 emerging markets covering 2002–2017, we find that the firm-level share of FX debt rises following intensive use of FXIs, particularly for non-exporting firms in shallow financial markets with no FX debt to begin with. The magnitude of this effect is economically significant, with one standard deviation increase in the intensity of FXI leading to an average 2 percentage points increase in the FX debt share. For reference, the median share of FX debt in the sample is zero.

Exchange rate and corporate investment: Heterogeneous effects via the global value chain networks

This study analyzes how exchange rates affect corporate investment by scrutinizing firms' global value chain (GVC) networks. A salient feature of our analysis is that we adopt novel GVC datasets and methodologies to construct upstream- and downstream-specific exchange rates. We couple these GVC-integrated real exchange rates with global firm-level data and document that unfavorable exchange rate movements hinder operating performance and, therefore, corporate investment, especially among financially constrained firms. We use two large currency shocks in Brazil and Sweden to provide causal evidence. The results highlight nonnegligible frictions of how GVC-integrated real exchange rates affect corporate investment.

Management of Exchange Rate Forecasting Through Vanilla Long Short-Term Memory Networks (LSTM) and Auto-Regressive Integrated Moving Average (ARIMA)

Predicting foreign exchange rates presents a formidable challenge within financial forecasting, given its pivotal role in influencing a country's economic trajectory. To address this challenge, numerous forecasting models are employed with the aim of anticipating future exchange rate movements. This study aims to determine the efficacy of two prominent machine learning models, namely Vanilla Long Short-Term Memory Networks (LSTM) and Auto-Regressive Integrated Moving Average (ARIMA), in forecasting the exchange rate between the Malaysian Ringgit (MYR) and the United States Dollar (USD). Employing Python's robust statistical packages for time series forecasting, both Vanilla LSTM and ARIMA models undergo rigorous training on the dataset. Leveraging Python's programming capabilities enables in-depth analysis, essential for model refinement and accuracy assessment. Upon comparing the error measures of both models, it becomes evident that the Vanilla LSTM model outperforms ARIMA, exhibiting lower Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) values. Specifically, the MSE and RMSE for Vanilla LSTM stand at 0.0102 and 0.1011, respectively, surpassing ARIMA's 0.0113 and 0.1062. Thus, affirming Vanilla LSTM's superiority in exchange rate forecasting. Consequently, the study concludes that Vanilla LSTM emerges as the most accurate model for exchange rate prediction, with a projected exchange rate of RM4.22 for July 2022.

What has inflation targeting done for household consumption?

Whether households’ consumption level in an Inflation-Targeting (IT) regime, which steers inflation and its expectations, differs from that of a non-IT regime remains empirically unexplored. Using IT as a treatment and acknowledging the potential for country heterogeneity and material confounding factors, we leverage several treatment methods to study the causal, dynamic IT effect on aggregate household consumption across developed and developing countries. We find significant heterogeneous IT effects on aggregate consumption levels in two-thirds of the IT sample. The heterogeneity does not support the notion of an isomorphic average causal IT effect on household consumption across countries. The government’s willingness to meet IT policy adoption preconditions and the country’s fiscal profile are critical drives of this parameter heterogeneity in developing and developed countries. However, the central bank’s appetite for restricting exchange rate movements contributes to this heterogeneity in only developing countries. We find that macroeconomic uncertainty proxied by the inflation level, inflation variability and output growth variability are essential channels in developing countries. In addition, financial development and savings are crucial channels across development status.

Predicting Analysts’ S and P 500 Earnings Forecast Errors and Stock Market Returns using Macroeconomic Data and Nowcasts

This study scrutinizes the quality of “bottom-up” forecasts of near-term S and P 500 Composite earnings, derived by aggregating analysts’ forecasts for individual firm-level earnings. We examine whether forecasts are broadly consistent with current macroeconomic conditions reflected in economists’ near-term outlook and other available data. To the contrary, we find that a simple macroeconomic model of aggregate S and P 500 earnings, coupled with GDP forecasts from the Blue Chip Survey and recent dollar exchange rate movements, can predict large and statistically significant errors in equity analysts’ bottom-up forecasts for S and P 500 earnings in the current quarter and the quarter ahead. This finding is robust to the requirement that our econometric model is calibrated using only data available at the time of forecast. Moreover, the discrepancy between the macro-model-based earnings forecasts and analysts’ forecasts has predictive power for 3-month-ahead stock returns

Exchange Rate Disconnect and the Trade Balance

We propose a model with costly international financial intermediation that links exchange rate movements to shifts in the demand for domestically produced goods relative to the demand for imported goods (trade rebalancing). Our model is consistent with stylized facts of exchange rate dynamics, including those related to the trade balance, which is typically overlooked in the literature on exchange rate determination. In a quantitative assessment, trade rebalancing explains nearly 50 percent of exchange rate fluctuations over the business cycle, whereas exogenous deviations from the uncovered interest rate parity—the primary source of exchange rate fluctuations in the literature—account for just above 20 percent. Using data on trade flows or the trade balance is key to properly identifying the determinants of the exchange rate. Thus, our model overcomes the sharp dichotomy between the real exchange rate and the macroeconomy embedded in other models of exchange rate determination.