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This paper aims to empirically investigate the sources of real exchange rate fluctuations in Egypt using structural vector autoregression (SVAR). The data covers the period between 1980 and 2016, where exchange regime has been changed more than once.

This paper investigates the source of real exchange rate fluctuations for the period between 1980 and 2016 using the SVAR method. The SVAR method will incorporate real gross domestic product (GDP), real effective exchange rate (REER) and price level in a multidimensional equations system. However, impulse response function (IRF) and error variance decompositions (EVDC) will be generated by the system to have a behavioral insight of real exchange rate in response to economic shocks.

The IRF and EVDC results indicate a significant impact of demand shocks over the real exchange rate relative to supply shocks and monetary shocks in the period between 1980 and 2016. On the other hand, monetary shocks will have a negligible effect on the real exchange rate in the short run and converging to its previous level in the covering period of the study.

In the best of the authors' knowledge, the topic of the source of the real exchange rate fluctuations in Egypt has not been discussed in a wide range due to the lack of time series data. However, this study provides constructed data for REER for Egypt with the published method in the International Monetary Fund (IMF). Furthermore, the study involves theoretical and econometric modeling to ensure the reliability of the economic results.

The paper aims to examine the effects of exchange rate fluctuations on real output, the price level, and the real value of components of aggregate demand in Egypt and Turkey.

Building on a theoretical model that decomposes movements in the exchange rate into anticipated and unanticipated components, the empirical investigation traces the effects through demand and supply channels.

In Turkey, anticipated exchange rate appreciation has significant adverse effects, contracting the growth of real output and the demand for investment and exports, while raising price inflation. Random fluctuations in Turkey have asymmetric effects that highlight the importance of unanticipated depreciation in shrinking output growth and the growth of private consumption and investment, despite an increase in export growth. In Egypt, anticipated exchange rate appreciation decreases export growth. Given asymmetry, the net effect of unanticipated exchange rate fluctuations, in Egypt, decreases real output and consumption growth and increases export growth, on average, over time.

In light of the country‐specific evidence, future research should extend the investigation using panel estimation, incorporating various demand and supply shocks along with exchange rate fluctuations, to establish the relative importance of various shocks on macroeconomic performance across MENA countries.

While adhering to a flexible exchange rate policy to boost competitiveness, managing fundamentals to reduce excessive volatility impinging on the economic system over time should top the policy agenda.

Excessive volatility in the real effective exchange rate could be detrimental to real growth, over time, as the evidence for Turkey and Egypt illustrates.

Uses Monte Carlo simulation to demonstrate the benefits of employing a currency swap to hedge the exchange rate exposure in a single international real estate investment. The only cashflow exposed to the currency fluctuations is the appreciation associated with the investment. Shows that this hedging technique has some potential for protecting the investor from adverse currency fluctuations if an international real estate investment is made. However, promises to explore unresolved issues in future research. Demonstrates that some elements of exchange rate risk may be hedged, resulting in improved risk‐adjusted returns. Thus extends earlier research in international property investment and suggests that international real estate strategies based on diversification (as opposed to currency plays) may be more effective than has been argued in previous research.

The purpose of this paper is to present the essential role that currency order flow plays in the foreign exchange markets of emerging economies in the determination of their currencies in the short and the long-run against major currencies of the world, which cannot be over emphasized, most especially against the US dollar. Insomuch that, if some of these emerging economies can be successfully transmitted into full development, it would be a good model for other emerging economies and the world at large.

A hybrid model (portfolio shift model) proposed by Evans and Lyons (2002a, 2002b) is extended to analyze a data set of every quarter of an hour currency order flow and currency exchange rate fluctuations of Thai Baht (THB) against the US$ for the period of six years (January 2010 to December 2015). To reflect the pressure of currency excess demand, the authors construct a measure of currency order flow in the Thailand currency exchange market. Vector autoregression model is applied to estimate the effectual role of currency order flow in the determination of exchange rate for the THB against the US$.

Currency order flow indeed accounted for a sizeable and significant portion of the fluctuations in the THB and the US$ exchange rate.

Insomuch that, the results show that currency order flow has significant explanatory power in the emerging markets economy to capture the THB exchange rate variability, and it then brings to the attention of the Thailand Monetary Authority the importance that should be attached to the market microstructure.

The purpose of this research is to study the relationship between exchange rate fluctuations and stock market returns of the seven highest economic performing emerging countries (E7).

The study is conducted using the daily data for exchange rates and stock market returns in each of the E7 countries from January 1, 2019, to January 1, 2022. The study employs the ordinary least squares, autoregressive distributed lag error correction regression and generalized autoregressive conditional heteroskedasticity (GARCH (1,1)) regression models to fully investigate the impact of exchange rate on stock markets. For further investigation, the GARCH (1,1) model is run twice for each country with and without the inclusion of exchange rate to determine its effect on the volatility of stock returns.

The findings support the presence of cointegration relationship between the variables for all countries. The results reveal significant positive long-run relationship between exchange rates and stock market returns in all countries except for Indonesia, which evidenced a significant negative impact. The results of the GARCH (1,1) add that the inclusion of exchange rate in the model accounts for a slight change in the volatility of stock returns.

The research provides empirical evidence that appreciating currencies are perceived positively by investors leading to better performing capital markets. The outcomes of this study may assist policy makers in understanding to what degree changes in exchange rates can influence capital markets, as well as narrow the gap in literature regarding which theory is more relevant in explaining how exchange rate fluctuations impact market values.

The purpose of this paper is to analyze how monetary fundamentals affect exchange rate movements.

To develop this paper, a Bayesian Network modeling is applied to explore the causal interactions between monetary fundamentals and exchange rate fluctuations. Subsequently, a sensitivity analysis is performed to asses and estimate exchange rate behavior with uncertain monetary fundamentals. Furthermore, a Granger Causality test is used as suggested in the Econometric literature to determine the causality direction among factors.

The empirical findings show that money supply and interest rate have a significant positive effect on exchange rate, whereas inflation rate has a considerable negative effect on exchange rate. In addition, the authors deduce that real income has an indirect impact on exchange rate and a direct impact on inflation rate, interest rate and money supply. Furthermore, the sensitivity analysis shows that monetary uncertainty has a considerable effect on exchange rate fluctuations. Moreover, the Granger Causality test reveals that there is a unique unidirectional causality running from money supply to exchange rate.

The model can be considered as a vital management tool for international investors and financial analysts to explore the effect of monetary fundamentals on exchange rate behavior. It allows estimating exchange rate fluctuations with uncertain monetary factors.

This study is the first one which applied a Bayesian Network modeling to examine the exchange rate determination problem. Results of this research are presented under a clear graphical representation that can be easily useful by monetary policymakers and international traders to determine the influential monetary factors on exchange rate behavior. Also, the model will help them in estimating the effect of monetary uncertainty on exchange rate fluctuations.

The purpose of this paper is to examine whether Korean multinational corporations (MNCs) in the electronics and steel industries do shift their production across their foreign subsidiaries, located in different countries, as exchange rates fluctuate in foreign countries.

A case study was taken as a qualitative methodology to examine whether MNCs actually shift their production as multinational operational flexibility perspective predicts.

From a case study of two Korean MNCs (LG Electronics and POSCO), it was found that even facing heightened production costs associated with host country currency appreciation, Korean MNCs do not shift their production to less costly locations due to industrial characteristics, limited capacity, and high tariff barriers. It was also found that they reduce the production costs internally and they also negotiate the costs with employees and suppliers to adjust the production costs associated with appreciated currency.

Our findings imply that certain industrial and environmental constraints make it difficult for MNCs to take flexible actions as multinational operational flexibility perspective predicts. The findings also shed additional light on the less‐explored argument over operational flexibility and vertical integration associated with cross‐country shifts of value chain activities, including production or sales.

Almost all literature taking the multinational operation flexibility view argues that MNCs are able to shift their productions for their own benefits. However, the authors of this paper find from their case studies that firms take advantage of other methods than production shifts in their responses to exchange rate fluctuations in their host countries. Thus this study gives an insight into when and how firms behave as the theory predicts.

The purpose of this paper is to study the impact of the real exchange rate on investment in the Brazilian manufacturing industry.

The authors develop an investment model that considers the effect of changes in the real exchange rate, taking into account that the effect of the real exchange rate on the Brazilian manufacturing investment operates through demand and cost channels. The composition of these effects varies across manufacturing sectors, with different repercussions on investment decisions, depending on sectoral characteristics. A panel data analysis is applied to estimate the model for the Brazilian manufacturing sectors from 1996 to 2010.

One main result is that the responsiveness of the Brazilian manufacturing investment to real exchange rate varies considerably across manufacturing sectors. Overall, the results contribute to a better understanding of the relationship between exchange rate dynamics, manufacturing investment and industrial development, thus unveiling important empirical elements for the debate on industrial policies to stimulate manufacturing investment and production.

As the (scant) empirical literature on real exchange rate and investment in Brazil has invariably been using aggregate data, this paper contributes to the literature by obtaining sectoral estimates of the responsiveness of manufacturing investment to exchange rate fluctuations that further the understanding of the complex relationship between these economic variables.

This study examines the relationship between U.S. monetary policy changes and financial market reactions; in particular, the fluctuations in interest rates and exchange rates for the U.S., Britain, Canada, France, Germany, and Japan are related to changes in the U.S. Federal Reserve discount rate for the period 1980–1991. Consistent with previous research, the results indicate a significant relationship between U.S. interest rates and changes in the discount rate throughout the test period. Further, the relationship between non‐U.S. interest rates and the U.S. discount rate is minimal during the first half of the test period but strong in the second half of the period. As expected, statistically significant results were not found with respect to exchange rates. These results suggest an increase both in financial market integration and in the U.S. Federal Reserve's role as an international financial policymaker.

Using capital asset pricing model (CAPM) and the Z-risk index based on weekly data, this study aims to estimate yearly unsystematic, total, three systematic and insolvency risks in the Gulf Cooperation Council (GCC) countries for the period 2010–2018. The findings of CAPM show positive systematic market risk exposure in all GCC countries for all years, which support the contribution of stock markets to bank prices and returns. The mixed signs of systematic interest rate and exchange rate risks in GCC countries provide hedging opportunities, diversification strategies and regional cooperation, which help risk managers to hedge and stabilize their portfolios against interest rate and exchange rate fluctuations. Therefore, it is necessary that managers and policymakers develop a monitoring system on factors affecting bank insolvency risks to avoid bankruptcies and insolvencies.

This study uses the three-factor CAPM and Z-risk index to measure six types of risks. The CAPM uses market information to estimate the sensitivity of banks to the fluctuations of equity markets, debt markets and foreign exchange markets. Sharpe (1964), Lintner (1965) and Treynor (1965) developed a single-factor CAPM and the coefficient of the model was called systematic market risk. The single-factor CAPM highlights stock markets as the only non-diversifiable source of systematic risks, whereas Stone (1974) and Jorion (1990) highlighted interest rate and exchange rate fluctuations as the other types of non-diversifiable systematic risks. The following functional form in equation (1) estimates five types of risks using CAPM.

The findings of CAPM show positive systematic market risk exposure in all GCC countries for all years, which support the contribution of stock markets to bank prices and returns based on CAPM theory. The mixed signs of systematic interest rate and exchange rate risks in GCC countries support hedging opportunities and diversification strategies which may help risk managers to hedge and stabilize their portfolios against the fluctuations of interest rate and exchange rate. Although, this policy may decrease the profits of banking sectors but at the same time it would stabilize the portfolios and prevent bankruptcies and big losses because of the fluctuations of interest rate. Moreover, a bank has a better chance to have more liquidity position during financial crises because of the diversifications into different regional markets.

Therefore, this study contributes to the existing literature by using risk measurement by a three-factor CAPM and the Z-risk index as discussed further in methodology.

It is necessary that managers and policymakers develop a monitoring system on factors affecting bank insolvency risks to avoid bankruptcies and insolvencies.