Working Papers


Current Working Papers

Working Paper Versions of Published Papers in New Micro Exchange Rate Economics

Working Papers On Other Topics


Current Working Papers

 

Order Flows and The Exchange Rate Disconnect Puzzle

 

PDF File  This version: June 2008

Abstract The aim of this paper is to establish the link between the high frequency dynamics of spot exchange rates and developments in the macroeconomy. To do so, I first present a theoretical model of exchange-rate determination that bridges the gap between existing microstructure and traditional models. I then report empirical evidence that strongly supports the presence of the link between the macroeconomy, order flow, and high frequency exchange rate returns implied by the model. In fact, my empirical results indicate that between 20 and 30 percent of the variance in excess currency returns over one- and two-month horizons can be linked back to developments in the macroeconomy. This level of explanatory power is an order of magnitude higher than that found in traditional models -- even the newly developed monetary models incorporating central banks reaction functions. Moreover, it provides a straightforward solution to the exchange-rate disconnect puzzle. Namely, the high frequency behavior of spot exchange rates reflects the flow of new information reaching dealers concerning the slowly evolving state of the macroeconomy, rather than the effects of shocks that drive rapidly changing macroeconomic conditions.

 

International Financial Integration and The Real Economy (with V. Hnatkovska)

PDF File  This version: January 2007

Abstract What are the consequences of financial integration for the real economy? This paper develops a set of theoretical benchmarks for the link between integration and macroeconomic volatility and welfare. The analysis is conducted in a standard two-sector international real business cycle model in which we introduce dynamic portfolio choice over equities and an international bond. The model predicts an increase in the volatility of output in response to integration, while the relation between integration and consumption volatility is hump-shaped. We also find that financial integration is associated with significant improvement in risk-sharing across countries, although in aggregate the welfare benefits are very small. At the same time, the level of financial integration significantly affects how the welfare benefits of productivity shocks are distributed internationally.

Foreign Exchange Market Microstructure

PDF File  This version: October 2005

Abstract This paper provides an overview of the recent literature on Foreign Exchange Market Microstructure. Its aim is not to survey the literature, but rather to provide an introductory tour to the main theoretical ideas and empirical results. The central theoretical idea is that trading is an integral part of the process through which information relevant to the pricing of foreign currency becomes embedded in spot rates. Micro-based models study this information aggregation process and produce a rich set of empirical predictions that find strong support in the data. In particular, micro-based models can account for a large proportion of the daily variation in spot rates. They also supply a rationale for the apparent disconnect between spot rates and fundamentals. In terms of forecasting, micro-based models provide out-of-sample forecasting power for spot rates that is an order of magnitude above that usually found in exchange-rate models.

 

International Capital Flows Returns and World Financial Integration (with V. Hnatkovska)

PDF File  This version: October 2005

Abstract International capital flows have increased dramatically since the 1980s, with much of the increase being due to trade in equity and debt markets. Such developments are often attributed to the increased integration of world financial markets. We present a model that allows us to examine how greater integration in world financial markets affects the behavior of international capital flows and financial returns. Our model predicts that international capital flows are large (in absolute value) and very volatile during the early stages of financial integration when international asset trading is concentrated in bonds. As integration progresses and households gain access to world equity markets, the size and volatility of international bond flows fall dramatically but continue to exceed the size and volatility of international equity flows. This is the natural outcome of greater risk sharing facilitated by increased integration. We find that the equilibrium flows in bonds and stocks are larger than their empirical counterparts, and are largely driven by variations in equity risk premia. The paper also makes a methodological contribution to the literature on dynamic general equilibrium asset-pricing. We implement a new technique for solving a dynamic general equilibrium model with production, portfolio choice and incomplete markets.

 

Solving General Equilibrium Models with Incomplete Markets and Many Assets (with V. Hnatkovska)

PDF File This version: October 2005

Abstract This paper presents a new numerical method for solving general equilibrium models with many assets. The method can be applied to models where there are heterogeneous agents, time-varying investment opportunity sets, and incomplete markets. It also can be used to study models where the equilibrium dynamics are non-stationary. We illustrate how the method is used by solving a one— and two-sector versions of a two—country general equilibrium model with production. We check the accuracy of our method by comparing the numerical solution to the one-sector model against its known analytic properties. We then apply the method to the two-sector model  where no analytic solution is available.

Exchange Rate Fundamentals and Order Flow (With Richard Lyons)

PDF File This version: May 2005

Abstract  This paper addresses whether transaction flows in foreign exchange markets convey information about fundamentals. We begin with a GE model in the spirit of Hayek (1945) in which fundamental information is first manifest in the economy at the micro level, i.e., in a way that is not symmetrically observed by all agents. With this information structure, induced foreign exchange transactions play a central role in the aggregation process, providing testable links between transaction flows, exchange rates, and future fundamentals. We test these links using data on all end-user currency trades received by Citibank over 6.5 years, a sample sufficiently long to analyze real-time forecasts at the quarterly horizon. The predictions are borne out in four empirical findings that define this paper’s main contribution: (1) transaction flows forecast future macro variables such as output growth, money growth, and inflation, (2) transaction flows forecast these macro variables significantly better than spot rates do, (3) transaction flows (proprietary) forecast future spot rates, and (4) though proprietary flows convey new information about future fundamentals, much of this information is still not impounded in the spot rate one quarter later. These results indicate that the significance of transaction flows for exchange rates extends well beyond high frequencies.

A New Micro Model of Exchange Rate Dynamics (With Richard Lyons)  

 PDF File     This version: January 2005

Abstract We address the puzzle of what determines exchange rates by examining information aggregation in a dynamic general equilibrium (DGE) setting. Unlike other DGE macro models, which enrich either preference structures or production structures, our model enriches the information structure. The model departs from microstructure-style modeling by identifying real activities where dispersed information originates, as well as the technology by which information is subsequently aggregated and impounded. Results relevant to the determination puzzle include: (1) persistent gaps between exchange rates and fundamentals, (2) excess volatility relative to fundamentals, (3) exchange rate movements without macro news, (4) little or no exchange rate movement when macro news occurs, and (5) a structural rationale for why transaction flows perform well in accounting for monthly exchange rate changes, whereas macro variables perform poorly.

How is Macro News Transmitted to Exchange Rates? (With Richard Lyons)  

 PDF File  This version December 2003. Original Version ("Why Order Flow Explains Exchange Rates")

Abstract This paper tests whether macroeconomic news is transmitted to exchange rates via the transactions process and if so, what share occurs via transactions versus the traditional direct channel. We identify the link between order flow and macro news using a heteroskedasticity-based approach, a la Rigobon and Sack (2002). In both daily and intra-daily data, order flow varies considerably with macro news flow. At least half of the effect of macro news on exchange rates is transmitted via order flow.

What are the Origins of Foreign Exchange Movements?

PDF File ,  PS File See note 

Abstract: This paper uses a new transactions data set on the inter bank foreign exchange market to examine the origins of spot exchange rate movements. The data provide a comprehensive picture of trading activity and allow me to examine the contribution of public news to spot rate dynamics over hours, days, and weeks. Contrary the presumption of macroeconomic exchange rates models, I find that public news only accounts for a fraction of exchange rate volatility over the whole frequency spectrum. In particular, I estimate that less that 50\% of the variance of spot rate changes at very high frequencies is attributable to public news. At daily and weekly frequencies, changes in the spot rate understate the effects of public news by 20 to 40 percent because the cumulative effects of independent public and private news exert offsetting effects. These findings suggest one reason for the poor performance of macroeconomic exchange rate models; namely their exclusive focus on public news.

The Microstructure of Foreign Exchange Dynamics

PDF File , PS File See note

Abstract: This paper studies the high frequency behavior of the interbank foreign exchange market with a newly created data set that provides the most comprehensive picture of activity across the market in existence. My analysis indicates that trade activity within the interbank market is distinct from the posting of indicative quotes. Trading and quote-making decisions are linked, but the links are complicated and poorly understood. I also document the existence of strong relationship between exchange rate movements and a measure of excess Dollar demand. A trading model is analyzed to show how the structure of the market could give rise to such a microstructure effect. Empirically, this effect appears important in the determination of exchange rates at high frequencies and over longer time spans relevant in international macroeconomics.


Working Paper Versions of Published Papers in New Micro Exchange Rate Economics


Inventory  Information (The Journal of Business, 2006)

Abstract In a market with symmetric information about fundamentals, can information-based trade still arise? Consider bond and FX markets, where private information about nominal cash flows is generally absent, but participants are convinced that superior information exists. We analyze a class of asymmetric information—inventory information—that is unrelated to fundamentals, but still forecasts future price (by forecasting future discount factors). Empirical work based on the analysis shows that inventory information in FX does indeed forecast discount factors, and does so over both short and long horizons. The immediate price impact of shocks to inventory information is large, roughly 50 percent of that from public information shocks (the latter being the whole story under symmetric information). Within about 30 minutes the transitory effect dies out, and prices reflect a permanent effect from inventory information that ranges between 15 and 30 percent of that from public information.

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 Understanding Order Flow (The International Journal of Finance and Economics, 2005)

Abstract This paper develops a model for understanding end-user order flow in the FX market. The model addresses several puzzling findings. First, the estimated price--impact of flow from different end--user segments is, dollar--for--dollar, quite different. Second, order flow from segments traditionally thought to be liquidity--motivated actually has power to forecast exchange rates. Third, about one third of order flow's power to forecast exchange rates one month ahead comes from flow's ability to forecast future flow, whereas the remaining two--thirds applies to price components unrelated to future flow. We show that all of these features arise naturally from end--user heterogeneity, in a setting where order flow provides timely information to market--makers about the state of the macroeconomy.

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 Meese-Rogoff Redux: Micro-Based Exchange Rate Forecasting (American Economic Review, Papers and Proceedings, May 2005)

       

Abstract This paper compares the true, ex-ante forecasting performance of a micro-based model against both a standard macro model and a random walk. In contrast to existing literature, which is focused on longer horizon forecasting, we examine forecasting over horizons from one day to one month (the one-month horizon being where micro and macro analysis begin to overlap). Over our 3-year forecasting sample, we find that the micro-based model consistently out-performs both the random walk and the macro model. Micro-based forecasts account for almost 16 per cent of the sample variance in monthly spot rate changes. These results provide a level of empirical validation as yet unattained by other models. Though our micro-based model out-performs the macro model, this does not imply that past macro analysis has overlooked key fundamentals: our structural interpretation using a fundamentals-based model shows that our findings are consistent with exchange rates being driven by standard fundamentals.

 

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Where Are We Now? Real-time Estimates of the Macro Economy, (The International Journal of Central Banking, 2005)

       

Abstract This paper describes a method for calculating daily real-time estimates of the current state of the U.S. economy. The estimates are computed from data on scheduled U.S. macroeconomic announcements using an econometric model that allows for variable reporting lags, temporal aggregation, and other complications in the data. The model can be applied to find real-time estimates of GDP, inflation, unemployment or any other macroeconomic variable of interest. In this paper I focus on the problem of estimating the current level of and growth rate in GDP. I construct daily real-time estimates of GDP that incorporate public information known on the day in question. The real-time estimates produced by the model are uniquely-suited to studying how perceived developments the macro economy are linked to asset prices over a wide range of frequencies. The estimates also provide, for the first time, daily time series that can be used in practical policy decisions.

 

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Are Different-Currency Assets Imperfect Substitutes (Forthcoming, in Exchange Rate Economics, MIT Press)

 

Abstract This paper provides a new test for whether different-currency assets are imperfect substitutes. Past work on imperfect substitutability in foreign exchange falls into two groups: (1) tests using measures of asset supply and (2) tests using measures of central-bank asset demand. We address the demand side, but we use a broad measure of public demand rather than focusing on demand by central banks. Under floating rates, changing public demand has no direct effect on monetary fundamentals, current or future. This provides an opportunity to test for price effects from imperfect substitutability. We develop and estimate a micro portfolio balance model that has both Walrasian and microstructure features. Price effects from imperfect substitutability are clearly present: the immediate price impact of public trades is 0.44 percent per $1 billion (of which, about 80 percent persists indefinitely). This estimate is applicable to intervention trades in the special case when they are indistinguishable from private trades (i.e., when interventions are sterilized, anonymous, and provide no monetary-policy signal).

 

PDF File (With Richard Lyons) Revised version of NBER Working Paper 8356, July 2001.)

 

Do Currency Markets Absorb News Quickly? (Journal of International Money and Finance March 2005)

       

Abstract This paper addresses whether macro news arrivals affect currency markets over time. The null from macro exchange-rate theory is that they do not: macro news is impounded in exchange rates instantaneously. We test this by examining the effects of news on subsequent trades by end-user participants (such as hedge funds, mutual funds, and non-financial corporations). News arrivals induce subsequent changes in trading in all of the major end-user segments. These induced changes remain significant for days. Induced trades also have persistent effects on prices. Currency markets are not responding to news instantaneously.   

 

PDF File  (With Richard Lyons)

 

    Time-Varying Liquidity in Foreign Exchange (Journal of Monetary Economics 2002)

 

Abstract This paper addresses whether currency trades have greater price impact during periods of rapid public information flow. Central bankers often suggest that expectations are at times “ripe” for coordinated adjustment, and that periods of rapid information flow are such a time. We develop an optimizing model to account for the joint behavior of order flow and returns around announcements. Using transaction data made available by electronic trading, we estimate the price impact of trades in the DM/$ market precisely. We then test whether trades during periods with macroeconomic announcements have higher price impact. They do. We also test for dependence of liquidity on trading volume and return volatility (two other prominent state variables in the literature on liquidity variation). We do not find any evidence that liquidity depends on these variables. The findings provide policy-makers with guidance for the timing and magnitude intervention.

 

PDF File (With Richard Lyons)

 

    FX Trading and Exchange Rate Dynamics (Journal of Finance 2002)

 

Abstract:  This paper provides new perspective on the poor performance of exchange rate models by focusing on the information structure of FX trading. I present a new theoretical model of FX trading that emphasizes the role of incomplete and heterogeneous information. The model shows how an equilibrium distribution of FX transaction prices and orders can arise at each point in time from the optimal trading decisions of dealers. This result motivates an empirical investigation of how the equilibrium distribution of FX prices behaves using a new data set that details trading activity in the FX market. This analysis produces two striking results: (i) Much of the observed short-term volatility in exchange rates comes from sampling the heterogeneous trading decisions of dealers in an equilibrium distribution that, under normal market conditions, changes comparatively slowly. (ii) In contrast to the assumptions of traditional macro models, public news is rarely the predominant source of exchange rate movements over any horizon.

Last version PDF File, NBER WP version PDF File

 


Working Papers On Other Topics


    Real Risk, Inflation Risk and the Term Structure

 PDF File

Abstract:  I develop and estimate a general equilibrium model for the term structures of nominal and real interest rates in the UK that incorporates Markov-switching. The model allows for non-neutralities, nonlinear dynamics, and flexibility in the dynamics of the risk premia - features that are all present in the data. I use the model to assess how accurately the term structure reflects changing expectations of future yields and inflation. This analysis shows that the presence of time-varying risk premia make it very hard to accurately track changes in the expected path of real or nominal yields over horizons of less than five years. By contrast, variations in inflation expected over the next two to three years are very accurately reflected by changes in spread between real and nominal yields, or by changes in nominal yields alone. Over longer horizons, the term structures closely track changing expectations regarding future nominal and real yields but not future inflation.

        

    The Term Structure of Credit Risk: Estimates and Specification Tests  (with R. Cumby)

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Abstract: In this paper we consider models of the term structure of default risk and apply them to a sample of risky Brady bonds issued by the governments of Mexico, Venezuela, and Costa Rica. The first model, which assumes that at each point in time the probability of default (given no prior default) is equal for every future period, is straightforward to implement and yields seemingly plausible estimates of default probabilities. But the dynamics of the computed default probabilities are not consistent with the model. Contrary to the model's implication that there are no anticipated changes in default probabilities, we find that the computed default probabilities do not evolve randomly. The other four models, which treat credit quality as an unobservable variable, fits the data with varying degrees of success. The first of these assumes that credit quality follows a continuous-time diffusion process and yields a closed-form solution for the default probabilities. In deriving the remaining three models we work in discrete time. Although we are unable to obtain a closed- form solution for the default probabilities, this approach affords considerable flexibility for the choice of stochastic process followed by credit quality. The results suggest that this greater flexibility is important. We find that allowing for both temporary and permanent components to the evolution of credit quality considerably reduces the estimated size of the drift parameter in the random walk and problems with the specification of the random walk model disappear. 

 

 

Student Evaluations and the Assessment of Teaching:  What Can we Learn from the Data? (with P. McNelis)

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Abstract This paper is an assessment of the limits of using data from student evaluations for the evaluation of  teaching performance or “effectiveness”  in undergraduate classes at Georgetown University.  In particular, this study shows that the use of mean scores from the survey question that asks for an “overall evaluation of the instructor” for judging relative performance across classes is an extremely limited and even misleading way to  use the survey data. We find that classes of different sizes, different levels, meeting at different times during the day, all have significant affects on the survey responses. We also find that the “grading reputation” of instructors (measured by the distribution of grades awarded in past years) are an important determinant of the cross-instructor differences in the survey scores.  

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