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The purpose of this paper is to explain why Vietnam has been charged as a currency manipulator by the USA, and why those charges are less than conclusive, as of May 2021, no immediate tariffs were imposed.

A comparative approach is applied using economic data on trade balances, inflation, exchange rates, and foreign exchange reserves from Vietnam, other Asian nations, and the USA. Currency regime theories are briefly reviewed, and USA. Treasury statements about Vietnam’s currency are referred to, which then are analyzed. Further explanations are based on the context of the economic situation and bilateral relations.

Since 2010, Vietnam’s currency has appreciated, and since 2015, the government has kept the Vietnamese dong (VND) stable in real terms against the dollar. The sharp improvement in Vietnam’s bilateral and overall trade balance is due largely to rising labor costs in China and trade frictions between the USA and China. The resulting US tariffs on China’s exports redirected Foreign Direct Investment (FDI) exports to Vietnam. Even with these recent trade surpluses, Vietnam’s ratio of foreign exchange reserves to imports is lower than that of many other Asian nations. The USA’s recent decision not to impose punitive tariffs on Vietnam’s exports but continue to monitor and hold discussions reflects the reduced priority the new US administration puts on bilateral trade balances and the recognition that Vietnam is negotiating seriously and has significant value in a regional context.

The paper provides a comprehensive understanding from both theoretical and practical perspectives of the recent event. The implications are meaningful for the adjustment of national monetary strategy to avoid a similar situation in the future.

The authors analyze the relationship between exchange rate fluctuations of a number of major currencies and its impact on US stock market returns, as proxied by the S&P 500. Many studies have explored this topic since the early 1970s with varied results and with no evidence that clearly explains the relationship between exchange rates and stock market returns. This study takes a different look at this hypothesis and investigates the pairwise relationship between various exchange rates and the United States stock market returns (S&P 500 INDEX) from January 2000 to December 2019.

The authors test the data for unit roots using Phillip-Perron method. They use Johansen cointegration model to determine whether returns on S&P 500 are integrated with S&P 500. They use the VAR/VECM analysis to test whether there are any interdependencies between exchange rates and stock market return. Finally, they use various GARCH models, including the EGARCH and TGARCH models, to determine whether there exist volatility spillovers from exchange rate fluctuations in various markets to the volatility in the US stock market.

Using GARCH modeling, the authors find volatility in Australian dollar, Canadian dollar and the euro impact market return, and the volatility of Australian dollars and euro spills over to the volatility of S&P 500. They also find that the spillover is asymmetric for Australian dollars.

One of the limitations could be that the authors use different bivariate GARCH models rather than the MV-GARCH models. For future project(s), they plan to do this analysis from the perspective of a European Union or a British investor and use returns in those markets to see the impact of exchange rates on those markets. It would be interesting to know how the relationship will change during periods of financial crises. This could be achieved by employing structural break methodology.

Many studies have explored the relation between stock market returns and exchange rates since the early 1970s with varied results and with no evidence that clearly explains the relationship between exchange rates and stock market returns. This paper contributes by adding to the existing literature on impact of exchange rate on stock returns and by providing a detailed and different empirical analysis to support the results.

As tariffs on trade have been drastically reduced after lengthy negotiations, non‐tariff barriers to trade have assumed increasing relative importance. This article examines the “Buy‐American” policy of the US Defence Department which may be classified as a restrictionist procurement tactic. The term Buy‐American refers to the systematic preference for domestic products which is in effect a form of trade discrimination. More specifically, we are interested in calculating the social welfare costs caused by the Buy‐American discrimination of the Defence Department.

Though an undervalued Yuan is not the only factor that contributes to the US bilateral trade deficit with China, it is widely accepted as being one of the leading factors. The heightened debate over the value of the Yuan may lead to “beggar thy neighbour” retaliation. The purpose of this paper is to provide a historical review of the Y/$ exchange rate movements, review the US congressional bills to revalue the Y/$ exchange rate and Chinese Government's reactions, presents a conceptual analysis of the effect of the undervalued Yuan on trade between China, the USA, and competitors, and discuss the arguments for and against revaluation of the Yuan.

Conceptual analysis graphically illustrates how the undervalued Yuan affects world trade and shows the benefits and losses for various countries.

Though an undervalued Yuan is not the only factor that contributes to the US bilateral trade deficit with China, it is widely accepted as being one of the leading factors. Due to its effects on production, consumption, and trade, a solution is needed. Although measuring the exact misalignment of the Chinese currency has led to various results, it is generally agreed that the Yuan is undervalued, and the US Congress has been persistent in introducing various bills to tackle the problems arising from the undervalued Yuan. Arguments for and against revaluation has heightened debate which may lead to “beggar thy neighbour” retaliation.

This paper outlines very timely and pretentious trade issues between China and the USA and contributes to the area of research of exchange rate effects on international trade.

The digital euro is not a monolithic project. On the contrary, the application fields are broad, and possible solutions are diverse. This chapter provides an overview of use cases, application domains, and infrastructures for the digital euro that differ significantly. A comparison with solutions for the digital dollar and the digital yuan leads to the conclusion that, in the most extreme case, the euro could become a regional currency for Europe. The main reason for this argument is the design and prioritization of current approaches within Europe as well as the European Central Bank’s digital euro project, and that stablecoin approaches seem to be neglected as solutions for the digital euro.

The growth in euro-denominated bond debt issued by emerging market sovereigns picked up considerably after the Asian currency crises. However, while many emerging market governments now have outstanding euro-denominated issues, the market for this debt remains considerably smaller and less liquid than its US dollar counterpart. This has implications for both investors and sovereigns as they try to balance liquidity and cost of capital considerations against portfolio diversification and exchange rate movements. Broadly speaking, spreads on emerging market bonds across countries tend to move in tandem over time. This chapter takes an introductory look at the market for euro-denominated sovereign debt, and investigates the degree to which spreads on euro-denominated emerging market sovereign debt react to common forces. Following a similar analysis of the US dollar market in McGuire and Schrijvers (2003) (hereafter MS2003), we use principal factor analysis to determine the number of common factors that drive movements in spreads, and then seek to assign meaning to these factors through simple correlations with economic variables.

The purpose of this paper is to investigate the dynamic relationship between Nigeria-US exchange rate (XR) and crude oil price (OILP) using daily data from 1 January 2001 to 31 December 2015.

The study uses alternative methods, including vector autoregressive-generalised autoregressive conditional heteroskedasticity (VAR-GARCH) within the framework of Baba-Engle-Kraft-Kroner model, constant conditional correlation (CCC)-GARCH and dynamic conditional correlation (DCC)-GARCH models.

The results from the VAR-GARCH model indicate unidirectional cross-market mean spillovers from oil market (OILM) to foreign exchange market (FXM). In addition, the results show a positive effect of OILP on XR, suggesting that an increase in OILP appreciates Nigerian currency relative to US dollar and a fall in OILP depreciates it. The authors find that the effects of cross-volatility spillovers between the OILM and FXM are bidirectional. The CCC results indicate positive correlations of returns of 16 per cent between the FXM and OILM. Finally, the DCCs results indicate positive correlations between the two markets since the fourth quarter of 2008 (the world financial crisis period) until the recent period of world oil glut and slow demand for crude oil.

Following the depreciation of the Nigerian currency vis-á-vis US dollar since the onset of the recent world oil glut and lower oil prices, Nigerian authorities should embark on subsidy reform, such as reduction in fuel subsidies. This may enable the release of fiscal resources that may be used to either rebuild fiscal space lost or finance investment in non-oil sectors in order to reduce overdependence on oil income. Lower fiscal revenues, coupled with the risk that crude oil maintains its low price for some time, imply that government should reduce its expenditure, and continue to draw on available accumulated funds from the excess crude account for some time until the real depreciation required for adjustment is achieved.

Studies on volatility spillovers between OILM and FXM are limited in the literature, particularly in Nigerian case. Moreover, the study employs different approaches for broader analysis. These alternative methods, a clear departure from the previous studies, provide comprehensive dynamic nature of the relationship between the FXM and OILM.

This chapter analyses the impact of the global credit crisis on the money market and discusses its potential implications. The turbulence in money markets has spilled over to foreign exchange (FX)-swap markets amid a reappraisal of counterparty risks during the recent financial turmoil. We examine the situations of six currencies: the euro, the British pound, the Australian dollar, the Japanese yen, the Hong Kong dollar, and the Singapore dollar. We find that (i) the risk premiums have indeed gone in tandem with the spreads of money market rates over their corresponding overnight index swaps across the economies, a popular measure of potential banking insolvency; and (ii) the risk premiums bear a negative relationship with the strength of the spot rates of the respective currencies, which is consistent with the increased pressure in the money and swap markets.

We develop the concept of the slave-trade balance of payments and generate its table for the United States for 1790–1860. In the process, we construct new data for the slave trade, including both the physical movement and revenue figures, and we analyze these numbers. The balance of payments includes slave imports, carrying trade in slaves, purchases of slaves that fail to be imported, outfitting and provisioning slave ships, and slave-ship sales. The slave-trade balance is integrated into the standard balance of payments. Among the findings are the following: slave imports were dominated by natural growth except for one decade; US ships had the greater role than foreign ships in the import trade, but were of small—and eventually nil—consequence in the carrying trade; federal and state laws to prohibit the slave trade in all its aspects were generally effective; and the slave-trade balance of payments was a small component of the overall balance.