Intraday Patterns in FX Returns and Order Flow

Using a comprehensive high‐frequency foreign exchange data set, we present evidence of time‐of‐day effects in foreign exchange returns through a significant tendency for currencies to depreciate during local trading hours. We confirm this pattern across a range of currencies and time zones. We also find that this pattern is reflected in order flow and suggest that both patterns relate to the tendency of market participants to be net purchasers of foreign exchange in their own trading hours. Data from a single market maker appears to corroborate that interpretation.     

指令流:外汇市场研究的重要变量

外汇指令流的引入使市场微观结构理论成为近10年来汇率理论发展的一大亮点.令人惊奇的是,外汇指令流不仅在汇率波动和汇率决定研究中非常重要,而且许多传统争议因引进该变量而再次引发经济学家的兴趣,本文致力于介绍西方学术界对该理论的最新运用.     

Foreign exchange customers and dealers: Who’s driving whom?

This paper tests the theoretical assumption of the foreign exchange market microstructure that dealers and non-dealer customers interact over discrete trading rounds. An exhaustive frequency-domain analysis reveals that the interaction is limited and mainly due to the instability of financial markets. The principal finding is that the trading activity of dealers is able to predict the customer order flow at low frequencies with wavelengths longer than roughly a week. In all, the evidence shows that non-financial customers are not as passive as some other research has suggested.     

How do individual investors trade?

This paper examines how high-frequency trading decisions of individual investors are influenced by past price changes. Specifically, we address the question as to whether decisions to open or close a position are different when investors already hold a position compared with when they do not. Based on a unique data set from an electronic foreign exchange trading platform, OANDA FXTrade, we find that investors’ future order flow is (significantly) driven by past price movements and that these predictive patterns last up to several hours. This observation clearly shows that for high-frequency trading, investors rely on previous price movements in making future investment decisions. We provide clear evidence that market and limit orders flows are much more predictable if those orders are submitted to close an existing position than if they are used to open one. We interpret this finding as evidence for the existence of a monitoring effect, which has implications for theoretical market microstructure models and behavioral finance phenomena, such as the endowment effect.     

The Distribution of Foreign Exchange Price Changes: Trading Day Effects and Risk Measurement

This study investigates the nature of price changes in a variety of major and minor foreign exchange markets. The results suggest that the log of price changes over one (trading) day intervals seems to follow a non-normal stable distribution function. Different measures of location (and to lesser extent scale) are present for different days of the week. Dollar denominated price changes are high on Mondays and Wednesdays and low on Thursdays and Fridays for all currencies. The Wednesday-Thursday result is consistent with the settlement procedures used in foreign exchange transactions in the dollar. The Friday-Monday result is consistent with an increase in demand for the dollar prior to the weekend.     

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.     

The market microstructure approach to foreign exchange: Looking back and looking forward

Research on foreign exchange market microstructure stresses the importance of order flow, heterogeneity among agents, and private information as crucial determinants of short-run exchange rate dynamics. Microstructure researchers have produced empirically-driven models that fit the data surprisingly well. But FX markets are evolving rapidly in response to new electronic trading technologies. Transparency has risen, trading costs have tumbled, and transaction speed has accelerated as new players have entered the market and existing players have modified their behavior. These changes will have profound effects on exchange rate dynamics. Looking forward, we highlight fundamental yet unanswered questions on the nature of private information, the impact on market liquidity, and the changing process of price discovery. We also outline potential microstructure explanations for long-standing exchange rate puzzles.     

中国银行间市场开创卢布交易业务完善市场功能

1994年人民币汇率形成机制改革以来,中国银行间外汇市场挂牌了美元、欧元、日元、英镑和港币等五种国际储备货币。本轮国际金融危机以来,主要货币汇率波动加大,微观主体出于节约汇兑成本的需要,对人民币与新兴市场货币兑换交易的需求不断上升。为满足经济主体的需求,中国人民银行积极探索在银行间外汇市场挂牌人民币对新兴市场货币交易。2010年11月22日,中国银行间外汇市场挂牌人民币对卢布交易。挂牌以来,中国银行间外汇市场人民币对新兴市场货币交易健康发展,报价日益活跃,成交快速增长。截至2011年9月末,银行间外汇市场人民币对卢布成交53.10亿元人民币,2011年下半年以来的交易量也已超过了人民币对英镑的交易量。在我国银行间市场挂牌人民币对卢布交易一周年之际,本刊特推出四家人民币对卢布做市商相关经验与感想的专题文章,供市场参考。     

International order flows: Explaining equity and exchange rate returns

Macroeconomic models of equity and exchange rate returns perform poorly at high frequencies. The proportion of daily returns that these models explain is essentially zero. Instead of relying on macroeconomic determinants, we model equity price and exchange rate behavior based on a concept from microstructure–order flow. The international order flows are derived from belief changes of different investor groups in a two-country setting. We obtain a structural relationship between equity returns, exchange rate returns and their relationship to home and foreign equity market order flow. To test the model we construct daily aggregate order flow data from 800 million equity trades in the U.S. and France from 1999 to 2003. Almost 60% of the daily returns in the S&P100 index are explained jointly by exchange rate returns and aggregate order flows in both markets. As predicted by the model, daily exchange rate returns and order flow into the French market have significant incremental explanatory power for the daily S&P returns. The model implications are also validated for intraday returns.     

我国跨境资金流动趋势识别及影响因素实证研究

文章基于银行代客跨境收支数据,构建交易性、投资性收支指标,采取趋势移动平均方式,对不同方向、不同性质跨境资金流动趋势进行测量、分析、判断,对我国跨境资金流动趋势影响因素、不同时期内跨境资金流动影响机制变化等进行实证研究,并从外汇管理角度提出需关注的重点及相关建议,为加强跨境资金流动监测分析、防范跨境资金流动风险、推进外汇管理改革提供决策参考。     

Information Flows in Foreign Exchange Markets: Dissecting Customer Currency Trades

We study the information in order flows in the world's largest over‐the‐counter market, the foreign exchange (FX) market. The analysis draws on a data set covering a broad cross‐section of currencies and different customer segments of FX end‐users. The results suggest that order flows are highly informative about future exchange rates and provide significant economic value. We also find that different customer groups can share risk with each other effectively through the intermediation of a large dealer, and differ markedly in their predictive ability, trading styles, and risk exposure.     

Exchange rates and order flow in the long run

Several recent papers have underlined the importance of microstructure effects in understanding exchange rate behavior by documenting stable long-run relationships between cumulated order flows and spot exchange rates. This stands in contrast to the widely-studied failure of exchange rates to conform to the long-run behavior implied by “conventional” macroeconomic models and is consistent with the prediction of micro-structure models. We re-examine the evidence for stable long-run relationships. We find that such evidence exists only for a small number of the major currencies we examine and that it is statistically fragile. We conclude that this implication of microstructure models does not fit the data as well as previous studies suggest.     

The Forward Exchange Rate Bias Puzzle Is Persistent: Evidence from Stochastic and Nonparametric Cointegration Tests

An important puzzle in international finance is the failure of the forward exchange rate to be a rational forecast of the future spot rate. We document that even after accounting for nonstationarity, nonnormality, and heteroskedasticity using parametric and nonparametric tests on data for over a quarter century, U.S. dollar forward rates for the major currencies (the British pound, Japanese yen, Swiss franc, and the German mark) are generally not rational forecasts of future spot rates. These findings deepen the forward exchange rate bias puzzle, especially as these markets are the most liquid foreign exchange markets with very low trading costs.     

Network effects in currency internationalisation: Insights from BIS triennial surveys and implications for the renminbi

The dominance of the US dollar in foreign exchange (FX) markets appears to reflect very strong network effects in the use of international currencies. What we observe today is the result of a slow-moving process that has witnessed a switch from the dominance of the pound sterling to the US dollar, perhaps during the interwar period in the early part of the 20th century. This paper presents a discrete choice model of FX trading that explicitly allows for this type of critical transitions in order to understand the dynamics of currency turnover in FX markets. We estimate the model using the Bank for International Settlements' data from triennial surveys of FX markets and also examine the factors that could potentially shift the dynamic path and lead to an earlier critical transition. We then discuss the implications for the renminbi, a budding international currency. If the renminbi were to become a dominant international currency, it would require China to attain a much higher level of financial development and openness. It is important to note that our model does not address the possibility of a gradual weakening of the network effects in FX markets due to, for example, the advancement of trading technologies, which would allow the co-existence of a few equally dominant major currencies.     

Price clustering in foreign exchange spot markets

This paper documents the existence of price clustering in the foreign exchange spot market for the German mark, the Japanese yen, the United Kingdom pound, the French franc, the Italian lira, and the Swedish krona. The U.S. dollar exchange rate indicative quotes for these currencies tend to exhibit clustering around right-most digits that end in either a “zero” or a “five.” The tendency for exchange rates to cluster has increased with increases in trading volume and volatility. Moreover, the tendency for exchange rates to cluster differs across currencies.     

Carry Trades and Global Foreign Exchange Volatility

We investigate the relation between global foreign exchange (FX) volatility risk and the cross section of excess returns arising from popular strategies that borrow in low interest rate currencies and invest in high interest rate currencies, so‐called “carry trades.” We find that high interest rate currencies are negatively related to innovations in global FX volatility, and thus deliver low returns in times of unexpected high volatility, when low interest rate currencies provide a hedge by yielding positive returns. Furthermore, we show that volatility risk dominates liquidity risk and our volatility risk proxy also performs well for pricing returns of other portfolios.     

Day-of-the-week effect in the Taiwan foreign exchange market

This study uses stochastic dominance with and without risk-free assets to examine whether trading days can affect patterns of the day-of-the-week effect in the Taiwan foreign exchange market. Our results generally indicate that higher returns appear on the first three days of the week across different trading-day regimes in the Taiwan foreign exchange market, confirming day-of-the-week effect. Allocating part of investors’ assets in risk-free assets is useful in distinguishing returns among weekdays for all currencies.     

Exchange Rates, Equity Prices, and Capital Flows

We develop an equilibrium model in which exchange rates, stockprices, and capital flows are jointly determined under incompleteforeign exchange (forex) risk trading. Incomplete hedging offorex risk, documented for U.S. global mutual funds, inducesthe following price and capital flow dynamics: Higher returnsin the home equity market relative to the foreign equity marketare associated with a home currency depreciation. Net equityflows into the foreign market are positively correlated witha foreign currency appreciation. The model predictions are stronglysupported at daily, monthly, and quarterly frequencies for 17OECD countries vis-à-vis the United States. Correlationsare strongest after 1990 and for countries with higher equitymarket capitalization relative to GDP, suggesting that the observedexchange rate dynamics is indeed related to equity market development.     

The Impact of Order Flow on the Foreign Exchange Market: A Copula Approach

Using the copula function, I propose a new econometric method to measure the state-dependent impact of order flows on returns in foreign exchange markets and examine whether this impact is affected by the number of informed traders. My results indicate that the impact of the order flow decreases as trading becomes more informed. This finding suggests an especially important theoretical implication: that the effect of competition among informed traders tends to dominate that of the adverse selection problem faced by uninformed traders in the euro/dollar and yen/dollar markets.     

WHAT DRIVES INVESTMENT FLOWS INTO SOCIAL TRADING PORTFOLIOS?

We investigate investment flows into more than 5,300 social trading portfolios that are issued as structured products and are tradable at a regular exchange. We find that investment flows chase past performance. However, in contrast to mutual fund flows, the flow–performance relation exists nearly exclusively for the best performing social trading portfolios. Flows follow raw returns rather than factor model alphas. Additionally, flows are highly persistent. Finally, social trading portfolios with higher visibility on the web page of the social trading platform as well as traders communicating actively to investors via public comments attract higher inflows.