The day-of-the-week effect in foreign exchange markets: multi-currency evidence

To investigate to what extent transaction mechanism matters, we examine the daily returns of 29 foreign exchange rates in the New York market. This paper finds that the day-of-the-week effect existed in the 1980s for some, not all, currencies. The fact that the day-of-the-week effect existed for only some currencies suggests that the US transaction mechanism alone cannot explain the anomaly. Furthermore, this paper finds that the day-of-the-week effect disappears for almost all currencies in the 1990s. This latter result is consistent with previous studies on anomalies in the stock markets.     

On the inadequacy of newswire reports for empirical research on foreign exchange interventions

Reuters news reports have become an accepted tool for empirical studies analyzing informational asymmetries in FX markets. This paper tests the accuracy of the Reuters reports for Swiss interventions in the foreign exchange market. The evidence finds that the time stamp of the Reuters reports does not always lie near the recorded time of the first intervention trade as is commonly assumed in market microstructure studies. The standard deviation of the time difference is measured in hours and not in minutes. These and other regression results question the accuracy of Reuters reports for Swiss interventions.     

Tick test accuracy in foreign exchange ECN markets

Recent computer quoting activity has increased the allure of the tick test because the quote rule and its variants require matching asynchronous trade and quote records. We find tick test accuracy of 1.2 million forex trades is about 67% which falls to 63% for zerotick trades (half the sample). Accuracy declines as quoted spreads decrease and as time to the previous trade increases. We observe extreme asymmetry for midquote changes, where buyer accuracy is 96% (27%) for up (down) changes, respectively. The quote rule is about 77% accurate. The group tick test is superior to the bulk volume classification method.     

The accuracy of reports of foreign exchange intervention by the Bank of Japan: Does Tokyo know more?

This paper examines the accuracy of press reports of foreign exchange intervention by the Bank of Japan. We investigate whether the local news wire (JiJi News) reacted differently from the foreign press (Wall Street Journal) between January 2000 and December 2003. Our results show that the likelihood of intervention being reported given that it actually occurred is higher for the JiJi News than for the Wall Street Journal, but the JiJi News has many more instances of false speculative intervention reports. As such, the underreporting by the Wall Street Journal mitigates its overall errors as compared to the JiJi News. We find that the change of Japan's intervention strategy from the beginning of 2003 has a major impact on the accuracy of press reports. Logit analysis also demonstrates that the likelihood of intervention being firmly reported increased with the size of the intervention and the magnitude of appreciation of the Japanese yen.     

The interrelatedness of global equity markets, money markets, and foreign exchange markets

This article investigates different aspects of global financial markets, specifically relationships among equity markets, money markets, and foreign exchange markets across countries. To represent the three major financial markets of the world, Japan is the proxy for Asia, Germany is the proxy for Europe, and the United States is the proxy for North America. Strong evidence exists that international money markets and international equity markets are becoming increasingly integrated over time. This article incorporates foreign exchange values as partial determinants of equity returns and money market returns and investigates the interactions among these three asset markets from a global perspective.     

Explaining the accounting disclosure index of stock exchanges by foreign exchange market activity

In this article, researcher-created accounting disclosure index of 23 stock exchanges for the year 1992 and its relationship with variables including foreign exchange turnover, economic and financial indicators were investigated. The accounting disclosure index of global stock exchanges crafted by Adhikari and Tondkar (1992) was regressed on foreign market turnover which was utilized as a proxy for foreign exchange market activity. The OLS results supported that along with the activity of foreign exchange market; GNI per capita, market capitalization, energy and electric consumption, number of listed companies were significantly related with the accounting disclosure index. The foreign market turnover was found to be positively influencing the accounting disclosure index. The models explained about 73% of the variation in the index with an F-ratio of 26.56 indicating the overall significance of the model.     

Market structure and dealers’ quoting behavior in the foreign exchange market

This article examines how differently the same dealer quotes in the inter-dealer and customer foreign exchange markets that have different market structures. The model first predicts that customer spreads are generally wider than inter-dealer ones due to less transparency in the customer market. The model also predicts that since customers are believed to be less informed than dealers, the differential between customer and inter-dealer spreads tends to fall with the rise in order sizes. In addition, the dealer's mid-quotes are shown to be the same in the two markets. Empirical evidence based on data collected from a FX dealer supports these theoretical findings.     

Central bank interventions and jumps in double long memory models of daily exchange rates

In this paper, we estimate ARFIMA–FIGARCH models for the major exchange rates (against the US dollar) which have been subject to direct central bank interventions in the last decades. We show that the normality assumption is not adequate due to the occurrence of volatility outliers and its rejection is related to these interventions. Consequently, we rely on a normal mixture distribution that allows for endogenously determined jumps in the process governing the exchange rate dynamics. This distribution performs rather well and is found to be important for the estimation of the persistence of volatility shocks. Introducing a time-varying jump probability associated to central bank interventions, we find that the central bank interventions, conducted in either a coordinated or unilateral way, induce a jump in the process and tend to increase exchange rate volatility.     

Foreign exchange intervention and equilibrium real exchange rates

Monetary authorities intervene in the currency markets in order to pursue a monetary rule and/or to smooth exchange rate volatility caused by speculative attacks. In the present paper we investigate for possible intervention effects on the volatility of nominal exchange rates and the estimated equilibrium behaviour of real exchange rates. The main argument of the paper is that omission of intervention effects – when they are significant – would bias the ability to detect any PPP-based behaviour of the real exchange rates in the long run. Positive evidence for this argument comes from the experience of six Central and Eastern European economies, whose exchange markets are characterised by frequent interventions.     

Is foreign exchange intervention by central banks bad news for debt markets?: A case of Reserve Bank of Australia's interventions 1986–2003

We investigate the effects of the Reserve Bank of Australia's foreign exchange interventions on the USD/AUD market and 90-day and 10-year interest rate futures markets for the period July 1986–December 2003. Using recently released revised and updated intervention data, we investigate contemporaneous and disaggregated intervention influences and find significant evidence for (i) intervention effectiveness in moderating the contemporaneous exchange rate movements especially if interventions were cumulative and large, (ii) exchange rate volatility reducing effect with a day's lag, (iii) undesirable interest rate movements following interventions in some periods compromising monetary policy effectiveness, and (iv) a volatility reducing effect of cumulative interventions in the 90-day rate, and a volatility increasing effect of large interventions in both the 90-day and 10-year rate futures. These findings are a unique and significant contribution to the prevailing literature as they demonstrate that the RBA's interventions matter not only for the foreign exchange market but also for the debt markets.     

Price discovery in foreign exchange markets: A comparison of indicative and actual transaction prices

In this paper, we compare four months of Reuters EFX high frequency indicative data with D2000-1 inter-dealer transaction data for DEM/USD and GBP/USD. Contrary to previous studies, we find, using various information measures, that the matched tick-by-tick indicative data bear no qualitative difference from the transaction data, and have higher information content. Expanding the system to include order flow, due to its growing importance in exchange rate theory, we find that indicative data has a similar impact on order flow as transaction data. However, order flow has no impact on either price.     

Emerging markets and portfolio foreign exchange risk: An empirical investigation using a value-at-risk decomposition technique

The correlation between a portfolio's equity and foreign exchange components plays a role in reducing foreign exchange exposure. Investors must account for this correlation when determining the extent of foreign exchange risk in emerging market equity portfolio investments. This study employs a VaR risk factor mapping technique, under the variance–covariance VaR approach, to decompose portfolio risk in Argentina, Brazil, China, India, Mexico and Russia. For comparison purposes, the same technique is used to decompose portfolio risk in the US. The study is conducted from the perspective of a European equity investor with a portfolio of equities in each country. By employing the VaR decomposition technique, the correlation between a portfolio's equity and foreign exchange components is taken into account and portfolio foreign exchange risk is extracted from portfolio systematic risk. Our results uniquely demonstrate significant variation in foreign exchange risk in emerging markets.     

Spot and forward volatility in foreign exchange

This paper investigates the empirical relation between spot and forward implied volatility in foreign exchange. We formulate and test the forward volatility unbiasedness hypothesis, which may be viewed as the volatility analogue to the extensively researched hypothesis of unbiasedness in forward exchange rates. Using a new dataset of spot implied volatility quoted on over-the-counter currency options, we compute the forward implied volatility that corresponds to the delivery price of a forward contract on future spot implied volatility. This contract is known as a forward volatility agreement. We find strong evidence that forward implied volatility is a systematically biased predictor that overestimates movements in future spot implied volatility. This bias in forward volatility generates high economic value to an investor exploiting predictability in the returns to volatility speculation and indicates the presence of predictable volatility term premiums in foreign exchange.     

Heterogeneous real-time trading strategies in the foreign exchange market

The foreign exchange (FX) market is worldwide, but the dealers differ in their geographical locations (time zones), working hours, time horizons, home currencies, access to information,transaction costs, and other institutional constraints. The variety of time horizones is large: from intra-day dealers, who close their positions every evening, to long-term investors and central banks. Depending on the constraints, the different market participats need different strategies to reach their goal, which is usually maximizing the profit, or rather a utility function including risk. Different intra-day trading strategies can be studied only if high-density data are available. Oslen & Associates (O & A) has collected and analysed large amounts of FX quotes by market makers around the clock (up to 5000 non-equally spaced prices per day for the German mark against US$). Based on these data, a set of real-time intra-day trading models has been developed. These models give explicit trading recommendations under realistic constraints. They are allowed to trade only during the opening hours of a market, depending on the time zone and local holidays. The models have been running real-time for more than three years, thus leading to an ex ante test. The test results, obtained with a risk-sensitive performance measure, are presented. All these trading models are profitable, but they differ in their risk behaviour and dealing frequency. If a certain profitable intra-day algorithm is tested with different working hours, its success can considerably change. A systematic study shows that the best choice of working hours is usually when the most important markets for the particular FX rate are active. All the results demonstrate that the assumption of a homogeneous 24-hour FX market with identical dealers, following an identical ‘rational expectation’, is far from reality. To explain the market dynamics, a heterogeneous model of the market with different types of dealers is more appropriate.     

Random walk and efficiency tests in the Asia-Pacific foreign exchange markets: Evidence from the post-Asian currency crisis data

This paper empirically tests the random walk and efficiency hypothesis for 12 Asia-Pacific foreign exchange markets. The hypothesis is tested using individual as well as panel unit root tests and two variance-ratio tests. The study covers the high (daily) and medium (weekly) frequency post-Asian crisis spot exchange rate data from January 1998 to July 2007. The inferential outcomes do not differ substantially between the unit root tests and the variance-ratio tests when using daily data but differ significantly when using weekly data. With the daily data, both types of unit root tests identify unit root components for all the series and two variance-ratio tests provide the evidence of martingale behavior for majority of the exchange rates tested. With the weekly data, panel unit root tests identify unit root component for the exchange rates and, the unit root tests on a single series basis identify unit root component for 10 foreign exchange markets. However, the variance-ratio tests reject the martingale null for the majority of the exchange rates when using weekly data.     

Financial intermediation and the role of price discrimination in the foreign exchange market

Foreign exchange trading is performed in opaque and decentralized markets. The two-tier market structure consisting of a customer segment and an interdealer segment to which only market makers have access gives rise to the possibility of price discrimination. We develop a theoretical pricing model that accounts for market-power considerations and analyze a database of the trades of a foreign exchange market maker. We find that the market maker generally exerts low bargaining power vis-á-vis customers. The dealer earns lower average spreads on trades with financial customers than commercial customers, even though the former are perceived to convey exchange-rate-relevant information.     

The analysis of foreign exchange data using waveform dictionaries

This paper uses waveform dictionaries to decompose the signals contained within three foreign exchange rates using tick-by-tick observations obtained world wide. The three exchange rates examined are the Japanese Yen and the German Deutsche Mark against the U.S. dollar and the Deutsche Mark against the Yen. The data were provided by Olsen Associates.A wabeform dictionary is a class of transforms that generalizes both windowed Fourier transforms and wavelets. Each waveform is parameterized by location, frequency, and scale. Such transforms can analyze signals that have highly localized structures in either time or frequency space as well as broad band structures; that is, waveforms can, in principle, detect everything from shocks represented by Dirac Delta functions, to short bursts of energy within a narrow band of frequencies, to the presence of frequencies that occur sporadically, and finally to the presence of frequencies that hold over the entire observed period. Waveform dictionaries are most useful in analyzing data that are not stationary and non-stationarity up to second order is well recognized in the context of foreign exchange rates.     

Do central banks lose on foreign-exchange intervention? A review article

Estimates of central bank intervention losses or profits vary widely; some estimates find substantial losses, others profits. In most cases, estimated profits are not risk-adjusted, and risk adjustment can have large effects. Furthermore, profit estimates involve variables integrated of order one, and because of this test-statistics may have nonstandard distributions; few studies take this into account. Estimates of risk-adjusted profits for the US Fed and the Swedish Riksbank, with allowances for possible nonstandard distributions, suggest that neither made losses and might have made significant profits.     

美国对外汇市场的干预与启示

对外汇干预的认识随现代货币政策观点的演变而变化。大量的理论和实证研究表明,外汇干预的效果取决于央行的独立性、市场预期、协调因素以及干预目标等因素。文章介绍了美国外汇干预渠道和干预工具的种类及其运用特点,指出我国应在全球性外汇干预中做出预判并掌握主动,化危机为机遇,并加快外汇改革进程。     

Asymmetric volatility in the foreign exchange markets

We examine the presence or absence of asymmetric volatility in the exchange rates of Australian dollar (AUD), Euro (EUR), British pound (GBP) and Japanese yen (JPY), all against US dollar. Our investigation is based on a variant of the heterogeneous autoregressive realized volatility model, using daily realized variance and return series from 1996 to 2004. We find that a depreciation against USD leads to significantly greater volatility than an appreciation for AUD and GBP, whereas the opposite is true for JPY. Relative to volatility on days following a positive one-standard-deviation return, volatility on days following a negative one-standard-deviation return is higher by 6.6% for AUD, 6.1% for GBP, and 21.2% for JPY. The realized volatility of EUR appears to be symmetric. These results are robust to the removal of jump component from realized volatility and the sub-samplings defined by structural-changes. The asymmetry in AUD, GBP and JPY appears to be embedded in the continuous component of realized volatility rather than the jump component.