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Foreign exchange exposure management has traditionally been viewed by corporate line management as a specialized and arcane corporate function. From its organizational position in Treasury or International Treasury, the function and the experts responsible for its execution, are frequently removed from the process of strategic planning and formulation of objectives. Foreign exchange experts are even less frequently consulted on matters of marketing and production investments and operation.

The role of money and monetary policy of the central bank in pursuing macroeconomic stability has significantly changed over the period since the end of World War II. Globalization, liberalization, integration, and transition processes generally shaped the crucial milestones of the macroeconomic development and substantial features of economic policy and its framework in Europe. Policy-driven changes together with variety of exogenous shocks significantly affected the key features of macroeconomic environment on the European continent that fashioned the framework and design of monetary policies.

This chapter examines the key basis of the central bank’s monetary policy on its way to pursue and preserve the internal and external stability of the purchasing power of money. Substantial elements of the monetary policy like objectives and strategies are not only generally introduced but also critically discussed according to their accuracy, suitability, and reliability in the changing macroeconomic conditions. Brief overview of the Eurozone common monetary policy milestones and the past Eastern bloc countries’ experience with a variety of exchange rate regimes provides interesting empirical evidence on origins and implications of vital changes in the monetary policy conduction in Europe and the Eurozone.

The purpose of this study is to investigate the effects of uncertainty, namely, macroeconomic uncertainty (MU) and financial uncertainty (FU) on foreign exchange market stability, specifically on foreign exchange market pressure (EMP) and jump risk (RJV).

The latent threshold time-varying parameter VAR (LT-TVP-VAR) econometric approach is used in estimations to solve structural breaks.

The relationship of uncertainties and China's foreign exchange market stability is latent threshold nonlinear dynamic time-varying. In China's renminbi (RMB) appreciation stage, both MU and FU weaken the appreciation pressure of RMB. Moreover, MU and FU significantly increase the RJV, while MU significantly affects the RJV of the foreign exchange market. In the RMB depreciation stage, both MU and FU strengthen the EMP.

Findings based on data in China's foreign exchange market can be considered for other global markets in future research.

An increase in MU and FU has a negative effect on foreign exchange stability. Regulators can prevent the economic system uncertainty shocks on foreign exchange market stability through observation and judgment of MU and FU, which helps prevent and relieve financial risks. Investors can reduce foreign exchange risk as the exchange rate rebounds after hedging behavior during high uncertainty periods.

The effect of MU on the foreign exchange market stability is greater than that of FU, regardless of whether EMP or RJV occurs in the foreign exchange market.

This paper seeks to provide foreign exchange risk measurement/management techniques and strategies that can be applied to investment and trading portfolios in emerging financial markets, such as the Moroccan foreign exchange market, with the objective of setting up the basis of a methodology/procedure for the measurement, management and control of foreign exchange exposures in the day‐to‐day trading operations.

Demonstrates a proactive approach for the measurements, management and control of market risk exposure for financial trading portfolios that contain foreign exchange securities. This approach is based on the renowned concept of value‐at‐risk (VAR) along with the creation of a software tool utilizing matrix‐algebra technique. In order to illustrate the proper use of VAR and stress‐testing methods, real‐world examples and practical reports of foreign exchange trading risk management are presented for the Moroccan Dirham.

To this end, several case studies were achieved with the objective of setting up a practical framework of trading risk measurement and control reports in addition to the inception of procedures for the calculation of VAR's limits. Moreover, the effects of hedging of foreign exchange trading exposures with reciprocal equity trading positions were explored and quantified. Finally, initial empirical tests of the long‐term behavior of the Moroccan foreign exchange and debt markets were quantified and analyzed.

In this work, key foreign exchange trading risk management methods, rules and procedures that financial entities, regulators and policymakers should consider in setting up their daily foreign exchange trading risk management objectives are examined and adapted to the specific needs of emerging markets, such as in the context of the Moroccan foreign exchange market.

This paper fills a gap in the foreign exchange risk management literature especially in the emerging markets perspective. The risk management procedures that are discussed in this work will aid financial markets' participants, regulators and policymakers in founding sound and up‐to‐date policies to handle foreign exchange risk exposures.

This paper examines the causal relationship between stock market performance and foreign exchange market in Egypt over the period 2009–2016. The study period is divided into two sub-periods: pre- and post-January 25th Egyptian revolution (ER). The reason is to examine how this revolution affects the causal relationship between the two markets' performance.

In this study, the daily basis data are used to enable good and effective observation changes in the foreign exchange rate and stock market performance over time. Stock market indexes and stock market capitalization are used as proxies for stock market performance. Further, the Egyptian pound to US$ exchange rate is used as a measure for foreign exchange market performance. The study analysis is done in stages. The first is to check the variables' stationarity for the pre- and post-revaluation. The second is to examine the cointegration among the variables. The third is to run vector autoregression (VAR) estimates, after which VAR Granger causality tests are employed.

The results show that the data are not stationary at their levels but stationary in their first difference level while there is no cointegration in the long-run among the variables in both sub-periods. Further, findings indicate that, in the pre-January 25th revolution period, there is a significant causal relationship between the foreign exchange market and stock market indexes and a significant causal relationship between market capitalization (CAP) and exchange rate at the 1% level. However, in the post-January 25th revolution period, the study does not find a significant causal relationship between foreign exchange market and stock market indexes and capitalization.

As this study focuses on the causal relationship between foreign exchange and stock markets before and after the 25th January Revolution, other macroeconomic variables such as consumer price index, interest rate and GDP were excluded for the comparison purposes with other studies. Further research is suggested to include them in the analysis to find out its effect on the performance of stock market and foreign exchange market.

The existence of long-run bidirectional causality means that portfolio managers and hedgers may have improved their understanding regarding the dynamic relationship between foreign exchange market and stock market performance as this may help them to plan and implement suitable hedging strategies to guard against currency risk in future crises or events. Investors, fund and portfolio managers and policymakers should give much attention to these event-specific interactions when they make capital budgeting decisions and implement regulation policies. Furthermore, our results may allow portfolio managers, investors and policymakers to assess the importance of informational efficiency for both markets.

This paper is an original contribution to the literature that concerns the causal relationship between stock market and foreign exchange market in the period of political instability and social unrest such as the January 25th Revolution in one of the emerging markets, namely Egypt.

The purpose of this paper is to examine the level of foreign exchange exposure of listed nonfinancial firms in South Africa. The study spans the period January 2002 and November 2015. Foreign exchange risk exposure is estimated in relation to the exchange rate of the South African Rand relative to the US$, the Euro, the British Pound and the trade-weighted exchange rate index.

The study is based on the augmented-market model of Jorion (1990). The Jorion (1990) is a capital asset pricing model-inspired framework which models share returns as a function of the return on the market index and changes in the exchange rate factor. The market risk factor is meant to discount the effect of macroeconomic factors on share returns, thus isolating the foreign exchange risk factor. In addition, the study further added the size, value, momentum, investment and profitability risk factors in line with the Fama–French three-factor model, Carhart four-factor model and the Fama–French five-factor model to account for the fact that equity capital markets in countries such as South Africa are known to be partially segmented.

Foreign exchange risk exposure levels were estimated at more than 40% for all the proxy currencies on the basis of the standard augmented market model. However, after controlling for idiosyncratic factors, through the application of the Fama–French three-factor model, the Carhart four-factor model and the Fama–French five-factor model, exposure levels were found to range between 6.5 and 12%.

These results indicate the importance of controlling for the effects of idiosyncratic facto0rs in the estimation of foreign exchange risk exposure in the context of emerging markets of Sub-Saharan Africa (SSA).

This is the first study to apply the Fama–French three-factor model, Carhart four-factor model and the Fama–French five-factor model in the estimation of foreign exchange exposure of nonfinancial firms in the context of a SSA country. These results indicate the importance of controlling for the effects of idiosyncratic factors in the estimation of foreign exchange risk exposure in the context of emerging markets.

Offering an example of a small open developing economy, the purpose of this paper is to explore the reasons for relative stability in Armenia’s foreign exchange market. Relying on a single currency and derived cross-currency exchange rates, the paper models short-term effects between exchange market pressure and financial and macroeconomic factors.

Following a literature review, the paper sets the macroeconomic context with an initial variance comparison of standard currency pairs and derived cross-currency exchange rates. Then, the core analysis is carried out with a vector error correction model, focusing on short-term cross-dynamics in monthly data. The orthogonal impulse response function analyses help solidify and further inform relevant conclusions.

Three broad factors influence Armenia’s foreign exchange market: external push factors; domestic banking sector competition, and foreign currency risk perceptions; and domestic macroeconomic and dual, cross-pair, exchange rate target priorities. The central bank’s implicit management of the foreign exchange market’s expectations, pull factor, is consistent with trader market power’s contribution to lower volatility. Yet, the risk of financial and real-sector decoupling remains.

The results are relevant for emerging markets attempting to leverage the global liquidity and low interest rates, while being exposed to external pressures in the post-crisis environment, in which international reserves may be scarce while currency stability is an implied priority. This study can be further adapted to a more comprehensive structural short-term analysis of currency determination or similar dynamics in other small open economies.

This paper aims to examine the volatility spillover dynamics between stock and foreign exchange market of China considering subprime 2007 financial crisis period.

This study considered daily data from January 2, 2002, to December 31, 2013. The sample period has been further divided into three periods; full sample period (January 2002-December 2013), pre-crisis period (January 2002-October 2007) and post-crisis period (October 2007-December 2013). This study opted Exponential Generalized Autoregressive Heteroskedasticity (EGARCH) model for the purpose of investigating asymmetric volatility spillover.

The results obtained using the EGARCH model imply that volatility spillover dynamics varies from period to period. In full sample period, the results show evidence of significant unidirectional volatility spillover from foreign exchange market to stock market. In pre-crisis period, the results indicate unidirectional volatility spillover from stock market to foreign exchange market. However, in post-crisis period, the results reveal significant bidirectional volatility spillover between stock and foreign exchange market.

The results of the study are important for policy makers because understanding the behavior of the financial markets, i.e. stock and foreign exchange market, would increase the success of policies implemented in a crisis situation. The results would help investors to formulate efficient portfolios.

This study is an important contribution to the existing literature in terms of analyzing volatility spillover between stock and foreign exchange market in an emerging economy, China. Furthermore, this study explored the volatility spillover dynamics between the two markets by considering the pre and post subprime Asian crisis period.

The Mexican foreign exchange market plays an important role in the laundering of narcotics revenues of traffickers from that country and, to some extent, traffickers from Colombia who ship through Mexico. This market is different from many other emerging market foreign exchange structures, because a legal parallel market has existed for more than two decades. The black market, meaning unreported foreign exchange dealings, is relatively smaller (compared to the size of the economy) than in other Latin American countries, since business people have broad access to dollars in the legal, parallel market.