The profitability of interest arbitrage when the base currency is pegged to a basket

When the interest rate on a currency that is pegged to a basket differs from the interest rate on the basket (as a weighted average), it is possible to make profit from interest arbitrage by going short on the basket and long on the pegged currency, or vice versa. This proposition is illustrated by using data on the Kuwaiti dinar and its basket currencies over the period 1998–2002 when the currency was pegged to a basket. Monte Carlo simulations show that the probability of making arbitrage profit from any single operation is about 95%.     

Implied Foreign Exchange Risk Premia

This paper uses implied volatilities from foreign exchange option prices and the results of no‐arbitrage theory to estimate foreign exchange risk premia. In particular, under the assumption of no‐arbitrage, the foreign exchange risk premium is driven by the difference between investors’ market prices of risk in the two currencies. In an international economy with three currencies, sterling, US dollar and Deutschemark, we can use the information on implied volatilities of the three cross rates to derive estimates of implied or ex ante market prices of risk and of foreign exchange risk premia. The foreign exchange risk premia estimates are then compared to survey‐based risk premia.     

Benefits of wavelet-based carry trade diversification

This study investigates carry trade diversification opportunities and linkages of major carry trade currencies on five different investment horizons. Using daily data on eight currencies and LIBOR rates, we examine the temporal structure of correlations and assess portfolio diversification benefits with wavelet techniques. Our results indicate that positive and economically significant carry trade excess returns are observed on all investigated investment horizons. We document that strategies built on the basis of wavelet correlation lead to significant diversification benefits. These findings indicate the importance of the dynamic structure of exchange rate correlations to currency arbitrage strategies.     

Currency momentum strategies

We provide a broad empirical investigation of momentum strategies in the foreign exchange market. We find a significant cross-sectional spread in excess returns of up to 10% per annum (p.a.) between past winner and loser currencies. This spread in excess returns is not explained by traditional risk factors, it is partially explained by transaction costs and shows behavior consistent with investor under- and overreaction. Moreover, cross-sectional currency momentum has very different properties from the widely studied carry trade and is not highly correlated with returns of benchmark technical trading rules. However, there seem to be very effective limits to arbitrage that prevent momentum returns from being easily exploitable in currency markets.     

Identifying the effects of an exchange rate depreciation on country risk: Evidence from a natural experiment

A natural experiment is used to study exchange rate depreciation and perceived sovereign risk. France suspended coinage of silver in 1876 provoking a significant exogenous depreciation of all silver standard countries versus gold standard currencies like the British pound – the currency in which their debt was payable. The evidence suggests an exchange rate depreciation can significantly increase sovereign risk if a country is exposed to foreign currency debt. We implement a difference-in-differences estimator and find that the average silver country's spread on hard currency debt increased over ten percent relative to non-silver countries.     

Currency excess returns and global downside market risk

We assess cross-sectional differences in 23 bilateral currency excess returns in an empirical model that distinguishes between US-specific and global risks, conditional on US bull (upside) or bear (downside) markets. Using the US dollar as numeraire currency, our results suggest that global downside risk is compensated in conditional and unconditional, bilateral currency excess returns. This finding is mostly driven by the emerging markets' currencies in our sample. We also find that the link between the global downside risk and risks associated with a typical carry trade strategy is much weaker for emerging markets' currencies than for developed markets' currencies.     

The Asian Currency Unit (ACU): exploring alternative currency weights

While most observers concur that the time is not ripe for Asia to consider a common currency, there has been some discussion about the possible creation of an Asian Currency Unit (ACU). This paper examines the specific issue of the ACU which, in a general sense, is a weighted average of regional currencies á la the European Currency Unit (ECU) which was created in March 1979 under the European Monetary System (EMS). The paper critically examines the rationale for the ACU proposal and offers an initial attempt at computing optimal currency composition of the ACU. The optimal basket weights computed are aimed at ensuring a regional currency basket that has minimal variance. Hence it will deliver stability in intra-regional exchange rates for alternative configurations of currency baskets in the Asian and Pacific region.     

Does Bitcoin behave as a currency?: A standard monetary model approach

We derive the Bitcoin exchange rate dynamics by solving the exchange rate equation of the standard flexible-price monetary model to investigate any characteristics of Bitcoin like a currency. The dynamics is driven by an asymmetric mean-reverting fundamental shock which can be attributed to a money demand shock. A crash occurs when the exchange rate with a weakened mean-reverting force breaches a lower boundary where a smooth-pasting condition is imposed. The empirical results show the exchange rate dynamics can be calibrated according to the model, in which the mean reversion of the dynamics is positively co-integrated with the Bitcoin transaction volume indicating demand for Bitcoin; and with the risk reversals of the commodity currencies (Australian dollar and Canadian dollar) in currency option markets. The analysis shows that the Bitcoin exchange rate shares some characteristics of commodity currencies with crash risk. This suggests that Bitcoin behaves as a currency between fiat money and a crypto-commodity used for trading and investment purposes.     

Explaining Forward Exchange Bias…Intraday

Intraday interest rates are zero. Consequently, a foreign exchange dealer can short a vulnerable currency in the morning, close this position in the afternoon, and never face an interest cost. This tactic might seem especially attractive in times of fixed-rate crisis, since it suggests an immunity to the central bank's interest rate defense. In equilibrium, however, buyers of the vulnerable currency must be compensated on average with an intraday capital gain as long as no devaluation occurs. That is, currencies under attack should typically appreciate intraday. Using data on intraday exchange rate changes within the European Monetary System, we find this prediction is borne out.     

Interdependence and dynamics in currency futures markets: A multivariate analysis of intraday data

This paper investigates long-term interdependencies and short-term dynamics in currency futures utilizing intraday data for six major foreign currencies: the British Pound, Deutsche Mark, Swiss Franc, Australian Dollar, Canadian Dollar, and Japanese Yen. Lack of cointegration (CI) among the foreign exchange futures is found to be the prevailing mode of behavior, but some temporary deviations from the no-CI condition are detected. There is a notable overlap between detected CI relationships and the timing of policy changes, world events, and regime shifts, indicating that the observed CIs are event-driven. The robustness of the CI results is checked with respect to variations in the model, lag structure, data period, sample horizon, and currency basket grouping. Impulse–response functions (IRFs) reveal that currency markets are in general efficient and absorb new information within the day. The interdependence among currencies is found to be asymmetric.     

A fundamental theory of exchange rates and direct currency trades

In this paper we construct a two-country search model to determine the nominal exchange rate between two fiat monies. Our model allows agents to use any currency to trade for goods in all countries. However, search frictions restrict agents’ opportunities for instantaneous arbitrage, and hence make the nominal exchange rate determinate. The nominal exchange rate depends on the two countries’ economic fundamentals, including the stocks and growth rates of the two monies. Direct exchanges between currencies are essential and they imply a nominal exchange rate that is different from the relative price between the two currencies in the goods markets. There are persistent violations of the law of one price and purchasing power parity in equilibrium, despite the fact that prices are perfectly flexible and all goods are tradeable between countries. Nominal and real exchange rates can move together in the steady state in response to money growth shocks.     

The economics of Bitcoin and similar private digital currencies

Recent innovations have made it feasible to transfer private digital currency without the intervention of an organization such as a bank. Any currency must prevent users from spending their balances more than once, which is easier said than done with purely digital currencies. Current digital currencies such as Bitcoin use peer-to-peer networks and open source software to stop double spending and create finality of transactions. This paper explains how the use of these technologies and limitation of the quantity produced can create an equilibrium in which a digital currency has a positive value. This paper also summarizes the rise of 24/7 trading on computerized markets in Bitcoin in which there are no brokers or other agents. The average monthly volatility of returns on Bitcoin is higher than for gold or a set of foreign currencies in dollars, but the lowest monthly volatilities for Bitcoin are less than the highest monthly volatilities for gold and the foreign currencies.     

Performance of Currency Trading Strategies in Developed and Emerging Markets: Some Striking Differences

Expanding the currency investment universe makes a lot of sense from a diversification point of view. Nevertheless, 60% of the total foreign exchange turnover is still only traded in three currency pairs (USD/EUR, USD/JPY and USD/GBP). The share of trading in local currencies in emerging markets is only around 5%. This can be explained by the fact that some currency managers fear investing in emerging market currencies. Many believe that political risk is the most dominant driver in these markets and that traditional investment rules do not work. In this paper, I apply four technical trading strategies for the developed market currencies and for the most traded emerging market currencies. The empirical results show some striking differences. They suggest that trend-following rules work better for emerging market currencies, while carry trading strategies perform better across developed market currencies. Nevertheless, it seems that conventional techniques could be successfully applied to both developed and emerging market currencies. I conclude that currency managers should not be afraid to diversify into emerging market currencies. They should, however, adjust their trading style accordingly.     

Intertemporal risk-return trade-off in foreign exchange rates

We investigate the intertemporal risk-return trade-off of foreign exchange (FX) rates for ten currencies quoted against the USD. For each currency, we use three risk measures simultaneously that pertain to that currency; its realized volatility, its realized skewness, and its value-at-risk. We apply monthly FX excess returns and risk measures calculated from daily observations. We find that there is a significant contemporaneous risk-return trade-off for the currencies under investigation. There is no evidence of noncontemporaneous risk-return trade-off. We pay special attention to the risk-return trade-off during the recent financial crisis.     

Overreaction and underreaction in the foreign exchange market

Research has documented overreaction and underreaction for stocks and stock market indices, but it has not yet analyzed these phenomena with regard to currency exchange rates. This paper examines exchange rate changes following extreme 1-day fluctuations for currencies in industrialized and emerging markets. In this study, the exchange rate is defined as the number of foreign currency units per US dollar. An overreaction phenomenon for currencies in emerging markets and an underreaction phenomenon for currencies in industrial markets are found. Each extreme 1-day currency fluctuation event is classified according to the type of underlying reason as described in the Wall Street Journal. Events for which no announcements (undefined events) were found are associated with a stronger tendency toward overreaction than those events for which an explanation was given (defined events). This suggests that investors overreact more when the source of the extreme fluctuation is largely unknown. The defined events are classified into two groups: economic events and political events. There is some evidence that political events are associated with a stronger tendency toward overreaction than economic events. These findings can be attributed to uncertainty. Political events (e.g., civil uprising) should be more difficult to assess than economic events (e.g., the release of an inflation report), and undefined events should be associated with the largest degree of uncertainty. Cross-sectional analysis is used to relate post-event exchange rate changes to the magnitude of the initial exchange rate change, leakage, day of the week effects, type of currency (from emerging or industrial market), and the type of announcement (economic, political, or undefined) that appeared in the Wall Street Journal. The cross-sectional analysis confirms that currencies in emerging markets experience stronger degrees of overreaction than those of industrial markets, even after controlling for potentially confounding factors. Moreover, it confirms that undefined events experience stronger degrees of overreaction than defined events, even when controlling for other factors.     

Why Do Firms Raise Foreign Currency Denominated Debt? Evidence from Finland

This study examines the determinants of the decision to raise currency debt. The results suggest that hedging figures importantly in the currency–of–denomination decision: firms in which exports constitute a significant fraction of net sales are more likely to raise currency debt. However, firms also tend to borrow in periods when the nominal interest rate for the loan currency, relative to other currencies, is lower than usual. This is consistent with the currency debt issue decision being affected by speculative motives. Large firms, with a wider access to the international capital markets, are more likely to borrow in foreign currencies than small firms.     

Exchange Rates and the Conversion of Currency‐Specific Risk Premia

How do the risk factors that drive asset prices influence exchange rates? Are the parameters of asset price processes relevant for specifying exchange rate processes? Most international asset pricing models focus on the analysis of asset returns given exchange rate processes. Little work has been done on the analysis of exchange rates dependent on asset returns. This paper uses an international stochastic discount factor (SDF) framework to analyse the interplay between asset prices and exchange rates. So far, this approach has only been implemented in international term structure models. We find that exchange rates serve to convert currency‐specific discount factors and currency‐specific prices of risk – a result linked to the international arbitrage pricing theory (IAPT). Our empirical investigation of exchange rates and stock markets of four countries presents evidence for the conversion of currency‐specific risk premia by exchange rates.     

Safehavenness of currencies

This study assesses the ‘safehavenness’ of a number of currencies with a view to providing a better understanding of how capital flow tends to react to a sharp increase in global risk aversion in turbulent times. It focuses on how the currencies are perceived by international investors or, more specifically, whether they are seen as safe-haven or risky currencies. To assess the safehavenness of the currency, we use risk reversal, which is the price difference between the call and put options of a currency, as it reflects how disproportionately market participants are willing to pay to hedge against its appreciation or depreciation. The relationship between the risk reversal of the currency and global risk aversion is estimated by means of parametric and non-parametric regressions that allow us to capture currency behaviour in times of extreme adversity, that is, the tail risk. Our empirical results found the Japanese yen and, to a lesser extent, the Hong Kong dollar to be the only safe havens under stressful conditions among the 34 currencies vis-à-vis the US dollar.     

人民币预期汇率变动与虚假贸易——基于套汇视角的分析

虚假贸易对国内经济秩序造成不良影响,受到了密切关注。本文基于2010—2012年中国大陆到香港的月度出口数据,实证检验了人民币汇率出现单边预期以及资本管制的大背景下,企业出于套汇动机而进行的虚假贸易行为。本文发现远期汇率升值显著促进了产品出口额增加,并且这一现象对于高价值重量比的产品更加明显。异质性分析表明虚假贸易行为更倾向于出现在加工贸易占比较高的行业。2012年汇率改革增大了人民币汇率的波动幅度,增加了企业跨境套利的成本,汇改之后企业的虚假贸易行为得到明显抑制。此外,远期汇率升值同时提高了虚假出口占总出口的比重。本文从一个新的视角研究了我国的虚假贸易问题,并对打击虚假贸易活动提出相关建议。