FOREIGN EXCHANGE MARKET REACTION TO THE U.S.-CANADA FREE TRADE AGREEMENT

In this paper we investigate the effect of news about the advent of the U.S.-Canada Free Trade Agreement (FTA) on the exchange rate between the Canadian dollar and the U.S. dollar. We find evidence that information flows related to the likelihood of the FTA influenced the volatility of the daily spot rate. In particular, information that increased the likelihood of the FTA subsequently diminished exchange rate volatility. In contrast, information that decreased the likelihood of the FTA subsequently increased exchange rate volatility.     

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.     

High-frequency information content in end-user foreign exchange order flows

This article considers the impact of foreign exchange (FX) order flows on contemporaneous and future stock market returns using a new database of customer order flows in the euro-dollar exchange rate market as seen by a leading European bank. We do not find clear contemporaneous relationships between FX order flows and stock market changes at high frequencies, but FX flows do appear to have significant power to forecast stock index returns over 1–30 min horizons, after controlling for lagged exchange rate and stock market returns. The effects of order flows from financial customers on future stock market changes are negative, while the effects of corporate orders are positive. The latter results are consistent with the premise that corporate order flows contain dispersed, passively acquired information about fundamentals. Thus, purchases of the dollar by corporate customers represent good news about the state of the US economy. Importantly, though, there also appears to be extra information in corporate flows which is directly relevant to equity prices over and above the impact derived from stock prices reacting to (predicted) exchange rate changes. Our findings suggest that financial customer flows only affect stock prices through their impact on the value of the dollar.     

亚洲新兴经济体国际资本流动驱动因素研究——基于GMM模型的实证分析

理解资本流入的驱动因素,对于设计一个有效的资本流动管理政策框架至关重要。本文研究了1998年至2018年间45个新兴经济体面临的各类资本流动的驱动因素,重点分析了资本流向亚洲地区的驱动因素与其他地区的共性和异质性。使用广义矩估计方法(GMM)对面板数据集的实证结果表明,对新兴经济体而言,制度质量和国内因素对吸引资本流入具有重要影响;对亚洲地区来说,人均收入增长和贸易开放是吸引资本流入的重要驱动因素,国内外利差水平和实际有效汇率变动对吸引组合投资和其他投资具有显著影响,VIX指数和影子利率对亚洲新兴经济体资本流动规模的影响也具有重要影响。这表明,在设计管理资本流入的政策框架时,全球经济金融合作和政策协调应被考虑在内。     

An investigation of customer order flow in the foreign exchange market

This paper examines the effect that heterogeneous customer orders flows have on exchange rates by using a new, and the largest, proprietary dataset of weekly net order flow segmented by customer type across nine of the most liquid currency pairs. We make several contributions. Firstly, we investigate the extent to which customer order flow can help to explain exchange rate movements over and above the influence of macro-economic variables. Secondly, we address the issue of whether order flows contain (private) information which explain exchange rates changes. Thirdly, we look at the usefulness of order flow in forecasting exchange rate movements at longer horizons than those generally considered in the micro-structure literature. Finally we address the question of whether the out-of-sample exchange rate forecasts generated by order flows can be employed profitably in the foreign exchange markets.     

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 Relation Between SFAS No. 95 Cash Flows From Operations and Credit Risk

This study examines the relevance of Financial Accounting Standards (SFAS) No. 95 operating cash flow disclosures for assessing a primary component of firm risk, namely credit risk. We find that SFAS No. 95 operating cash flows is an important determinant of credit risk, measured by debt ratings, incremental to other profitability and risk–related information. We also find that operating cash flows have a stronger incremental relation to credit risk for firms with a larger proportion of long–term debt and larger firms with lower operating uncertainty. Interestingly, cash flows appear to have less incremental importance for firms in high tech and regulated industries.     

Floating exchange rates,expectations and new information

This paper analyzes the relationship between forward exchange rates, future spot rates and new information. A stochastic model of exchange rate determination is used to formally show how unanticipated changes in the exchange rate determinants (or ‘news’) affect the spot rate. The empirical analysis indicates that ‘new information’ plays an important role in explaining the market forecasting error, or difference between the spot rate and the forward rate, determined in the previous period.     

Is exchange rate – Customer order flow relationship linear? Evidence from the Hungarian FX market

Over the last decade, the microstructure approach to exchange rates has become very popular. The underlying idea of this approach is that the order flows at different levels of aggregation contain valuable information to explain exchange rate movements. The bulk of empirical literature has focused on evaluating this hypothesis in a linear framework. This paper analyzes non-linearities in the relation between exchange rates returns and customer order flows. We show that the relationship evolves over time and that it is different under different exchange rate volatility conditions. Further, we found that the non-linearity can be captured successfully by the Transition Regression and Markov Switching models, which provide substantial explanatory power beyond the constant coefficients approach.     

Information flows between non-deliverable forward (NDF) and spot markets: Evidence from Korean currency

This paper investigates the interrelation and information flows between the Won–Dollar spot and offshore forward, i.e., NDF markets. In particular, this paper focuses on the impact of the reform in the Korean exchange rate systems, which occurred in December 1997 in response to the currency crisis, on the relation between the two markets. Using the augmented GARCH formulation, this paper finds that during the pre-reform period a mean spillover effect exists from the spot to the NDF market but not vice versa, and a volatility spillover effect exists in both directions. After the reform, however, the results are reversed and a mean spillover effect exists from the NDF to the spot market. Also, the volatility spillover effect exists only in the same direction. These findings suggest that there are information flows between the two markets, and the reform has changed the direction of the dynamic relation.     

利差、美元指数与跨境资本流动

一般认为跨境资本流动由利差决定,政策制定也强调利差对资本流动的指示意义。但本文发现,中国跨境资本流动历史上主要是由套汇而非套息资本决定,且套汇的显著指标是多边美元指数(DXY)而非人民币兑美元双边汇率,我们把这一现象称之为“中国的跨境资本流动之谜”。我们提出,汇率影响大于利率且多边汇率影响大于双边汇率的原因在于人民币兑美元双边汇率历史上波动幅度较小,及时和充分反映中美基本面的分化还不够。美元指数是市场指标,能够预示人民币兑美元双边汇率的走势,进而驱动资本流动。进一步研究发现,由于中国经济的外溢效应,中美经济基本面的分化不仅决定中美利差,还在很大程度上驱动美欧、美日经济基本面的分化,进而略有时滞地驱动美元指数。因此,中美利差在统计意义上是美元指数的同步甚至略微领先的指标,从这个意义上讲,政策制定仍要关注利差。随着人民币汇率弹性增强,中美利差和美元指数对中国跨境资本流动的解释力都会边际减弱。     

在岸与离岸人民币即期汇差的时变影响研究——基于修正的抛补利率平价模型的实证检验

基于修正的抛补利率平价模型,构建TVP-SV-VAR模型分析北向资金流动、人民币远期汇差、中美利差和中港利差对在岸与离岸人民币即期汇差的时变影响。结果表明：北向资金、人民币远期汇差以及中美、中港利差均对人民币即期汇差的短期影响最明显,中长期影响程度减弱;北向资金净流入增加、中美利差走阔和中港利差收窄会扩大人民币即期汇差;人民币远期汇差对人民币即期汇差的正向和负向影响交替发生。鉴于此,中国央行应当持续关注北向资金流向和流量、加强外汇市场沟通以及统筹和推动在岸和离岸人民币市场的良性协调发展。     

Factors Associated with Differences in the Magnitude of Abnormal Returns Around NYSE Versus Nasdaq Firms' Earnings Announcements

This study provides an explanation for the 'exchange effect' puzzle documented in prior accounting research. Grant (1980) finds that the magnitude of earnings announcement week abnormal returns is higher, on average, for firms traded over-the-counter than for NYSE firms. Atiase (1987) shows that this incremental 'exchange effect' persists even after controlling for firm size. We investigate potential explanations for this incremental exchange effect. We first show that even after controlling for differences in firm size, Nasdaq firms have less rich information environments and enjoy greater growth opportunities than NYSE firms. We then investigate whether differential predisclosure information environments and/or growth opportunities can explain the incremental exchange effect. The results indicate that although the absolute magnitude of the earnings announcement-related abnormal returns is inversely related to proxies for the amount of predisclosure information, the incremental exchange effect cannot be explained by differences in the predisclosure information environment. In contrast, after controlling for differences in growth opportunities across NYSE versus Nasdaq firms, and investors' heightened sensitivity to Nasdaq firms' growth opportunities in particular, there is no significant incremental exchange effect (whether or not we control for predisclosure information). These results suggest that the incremental exchange effect puzzle documented in prior research is more likely to reflect growth-related phenomena than differences in the predisclosure information environment.     

The role of private information in return volatility,bid–ask spreads and price levels in the foreign exchange market

Trading volume and order flow have both been closely associated with informed trader activity in the market microstructure literature. Using theory that explains regular intraday patterns in trading data, we transform these two variables into proxies for private information and examine their relationships with bid–ask spreads and return volatility. We use a unique and unusually rich high-frequency intraday dataset from the world's largest financial market, namely, the electronic inter-dealer spot foreign exchange market. Our analysis takes account of institutional features peculiar to this order-driven market. Our empirical results strongly affirm our theoretical understanding of how these markets work. They also reveal how the structure of the inter-dealer spot FX market affects exchange rate volatility. Finally, we also explore how private information contributes to the evolution of prices.     

Temporal Patterns in Foreign Exchange Returns and Options

Although the foreign exchange market is believed to be one of the most efficient financial markets in the world, there is significant evidence that technical analysis is profitable in this market. In this study we investigate the ability of information from the options market to supplement the commonly used information on past prices to predict temporal patterns in foreign exchange returns. We find that strategies using information from at-the-money options were more consistently profitable than the commonly used strategies based on only historical spot exchange rates (past prices). Consequently, options appear to contain information regarding future spot exchange rate movements.     

Order flow, bid-ask spread and trading density in foreign exchange markets

This paper examines the implications of market microstructure for foreign exchange markets. We argue that the usual order flow model needs to be recast in broader terms to incorporate the transaction costs of liquidity and the limitation of price discovery through order flows that involve low trading density currencies. Using a daily data set, we find that order flows are inadequate when it comes to explaining the changes in the low trading density currencies. Alternatively, within the high trading density, both order flows and bid-ask spreads significantly affect the foreign exchange rate returns. Our findings suggest that the order flow model is better at incorporating these microstructure effects except for some currencies with a very high level of trading density.     

Stocks,flows, and some exchange rate dynamics for the currency substitution model

The paper argues that the treatment of stocks and flows in portfolio balance models of exchange rate determination is inadequate, and that this hampers the analysis of exchange rate dynamics. A proposed resolution is reworked into the currency substitution model. In addition to providing explicit solutions for the spot rate of exchange depreciation under different expectational hypotheses, an attempt is made to clarify the dynamic properties of the model. Inter alia, it is shown how exchange rate overshooting is possible without having to assume market frictions; how a deteriorating current account deficit can coexist with an appreciating exchange rate; and, more generally, how portfolio induced jumps in the exchange rate are linked to balance of payments flow influences on the evolution of the exchange rate.     

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.     

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.     

The equilibrium pricing of exchange rates and assets when trade takes time

When trade takes time, there are systematic deviations of the exchange rate from its Law of One Price value; these depend on the real interest rate in terms of the importable good. There is no systematic tendency for the spot rate to attain its LOP value in the long run. This means that agents in different countries price the same cash flows by using different risk premia, with agents in the ‘foreign’ country pricing the asset by adding a risk premium related to foreign exchange risk.