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1. Predicting Sharp Depreciations in Industrial Country Exchange Rates

Author:
Jonathan H. Wright and Joseph E. Gagnon
Publication Date:
11-2006
Content Type:
Working Paper
Institution:
Board of Governors of the Federal Reserve System
Abstract:
This paper considers the prediction of large depreciations (both nominal and real) in a panel of industrialized countries using a probit methodology. The current account balance/GDP ratio has a modest but statistically significant effect on the estimated probability of a large depreciation, and gives slight predictive power in an outof- sample forecasting exercise. The CPI inflation rate also has a modest but statistically significant effect in predicting nominal depreciations and has slight predictive power, but this effect is not present for real exchange rates. The GDP growth rate occasionally has a significant effect. A higher current account balance (surplus) tends to reduce the probability of a sharp depreciation; a higher inflation rate tends to increase the probability of a sharp depreciation; and a higher GDP growth rate perhaps tends to reduce the probability of a sharp depreciation.
Topic:
Economics, Foreign Exchange, International Trade and Finance, and Markets

2. Order Flow and Exchange Rate Dynamics in Electronic Brokerage System Data

Author:
Jonathan H. Wright, David W. Berger, Alain P. Chaboud, Sergey V. Chernenko, Edward Howorka, Raj S. Iyer, and David Liu
Publication Date:
04-2005
Content Type:
Working Paper
Institution:
Board of Governors of the Federal Reserve System
Abstract:
We study the association between order flow and exchange rate returns in five years of high-frequency intraday data from the leading interdealer electronic broking system, EBS. While the association between order flow and exchange rate returns has been studied in several previous papers, these have mostly used relatively short spans of daily data from older bilateral dealing systems and, usually, transaction counts instead of actual trading volume. Using a substantially longer span of recent high-frequency data and measuring order flow as actual signed trading volume, we find a strong positive association between order flow and exchange rate returns at frequencies ranging from one minute to one day, and a more modest but still sizeable association at the monthly frequency. We find, however, no evidence that order flow has predictive power for future exchange rate movements beyond, possibly, the next minute. Focusing on the behavior of order flow and exchange rates at the time of scheduled U.S. economic data releases, we find that the surprise components of these announcements are associated with order flow at high frequency immediately after the data releases. This finding seems inconsistent with a simple efficient markets view of how a public news announcement is incorporated into prices.
Topic:
Economics, International Trade and Finance, and Science and Technology
Political Geography:
United States

3. The High-Frequency Effects of U.S. Macroeconomic Data Releases on Prices and Trading Activity in the Global Interdealer Foreign Exchange Market

Author:
Jonathan H. Wright, Alain P. Chaboud, Edward Howorka, David Liu, Sergey Chernenko, and Raj S. Krishnasami Iyer
Publication Date:
11-2004
Content Type:
Working Paper
Institution:
Board of Governors of the Federal Reserve System
Abstract:
We introduce a new high-frequency foreign exchange dataset from EBS (Electronic Broking Service) that includes trading volume in the global interdealer spot market, data not previously available to researchers. The data also gives live transactable quotes, rather than the indicative quotes that have been used in most previous high frequency foreign exchange analysis. We describe intraday volume and volatility patterns in euro-dollar and dollar-yen trading. We study the effects of scheduled U.S. macroeconomic data releases, first confirming the finding of recent literature that the conditional mean of the exchange rate responds very quickly to the unexpected component of data releases. We next study the effects of data releases on trading volumes. News releases cause volume to rise, and to remain elevated for a longer period. However, in contrast to the result for the level of the exchange rate, even if the data release is entirely in line with expectations, we find that there is still typically a large pickup in trading volume.
Topic:
Economics, Emerging Markets, and International Trade and Finance
Political Geography:
United States

4. The Information Content of Forward and Futures Prices: Market Expectations and the Price of Risk

Author:
Jonathan H. Wright, Sergey V. Chernenko, and Krista B. Schwarz
Publication Date:
06-2004
Content Type:
Working Paper
Institution:
Board of Governors of the Federal Reserve System
Abstract:
Forward and futures rates are frequently used as measures of market expectations. In this paper we apply standard forecast efficiency tests, and some newer exact sign and rank tests, to a wide range of forward and futures rates, and in this way test whether these are in fact rational expectations of future actual prices. The forward and futures rates that we study under a common methodology include foreign exchange forward rates, U.S. and foreign interest rate futures and forward rates, oil futures and natural gas futures. For most, but not all, of these instruments, we find that we can reject the hypothesis that the forward or futures rates are rational expectations of actual future prices. It is well known that foreign exchange forward rates give less accurate forecasts than a random walk, but we show that this is also true for some interest rate futures and forward rates. We conclude that forward and futures prices are not generally pure measures of market expectations: they are also heavily affected by the market price of risk.
Topic:
Security, Economics, Emerging Markets, and International Trade and Finance
Political Geography:
United States

5. Uncovered Interest Parity: It Works, But Not For Long

Author:
Jonathan H. Wright and Alain P. Chaboud
Publication Date:
01-2003
Content Type:
Working Paper
Institution:
Board of Governors of the Federal Reserve System
Abstract:
The failure of uncovered interest parity can be ascribed to the existence of a risk premium. The size of this risk premium may shrink to zero over sufficiently small intervals of time. In contrast, because no interest is paid on intradaily positions and interest is instead paid discretely at the point when a position is rolled over from one day to the next, the size of the interest differential remains fixed over any interval that covers the time of the discrete interest payment. This is true no matter how short that interval is. Using a large dataset of high frequency exchange rate data, we run uncovered interest parity regression over different time intervals. We replicate the rejection of the uncovered interest parity hypothesis with daily data, but find results that are consistently much more supportive of the uncovered interest parity hypothesis over short windows of intradaily data that span the time of the discrete interest payment.
Topic:
Conflict Prevention, International Relations, Economics, and International Trade and Finance

6. The High-Frequency Response of Exchange Rates and Interest Rates to Macroeconomic Announcements

Author:
John H. Rogers, Jonathan H. Wright, Jon Faust, and Shing-Yi B. Wang
Publication Date:
10-2003
Content Type:
Working Paper
Institution:
Board of Governors of the Federal Reserve System
Abstract:
Many recent papers have studied movements in stock, bond, and currency prices over short windows of time around macro announcements. This paper adds to the announcement effects literature in two ways. First, we study the joint announcement effects across a broad range of assets--exchange rates and U.S. and foreign term structures. In order to evaluate whether the joint effects can be reconciled with conventional theory, we interpret the joint movements in light of uncovered interest rate parity or changes in risk premia. For several real macro announcements, we find that a stronger than expected release appreciates the dollar today, but that it must either (i) lower the relative risk premium for holding foreign currency rather than dollars, or (ii) imply considerable future expected dollar depreciation. The latter implies an overshooting behavior akin to that described by Dornbusch (1976). Second, we use a longer span of high frequency data than has been common in announcement work. A longer span of high frequency data contributes to the precision of our estimates and allows us to explore the possibility that the effects of macro surprises on asset prices have varied over time. We find evidence, for example, that PPI releases had a larger effect on U.S. interest rates before about 1992 than subsequently.
Topic:
International Relations, Economics, Government, and International Trade and Finance
Political Geography:
United States

7. Forecasting U.S. Inflation by Bayesian Model Averaging

Author:
Jonathan H. Wright
Publication Date:
09-2003
Content Type:
Working Paper
Institution:
Board of Governors of the Federal Reserve System
Abstract:
Recent empirical work has considered the prediction of inflation by combining the information in a large number of time series. One such method that has been found to give consistently good results consists of simple equal weighted averaging of the forecasts over a large number of different models, each of which is a linear regression model that relates inflation to a single predictor and a lagged dependent variable. In this paper, I consider using Bayesian Model Averaging for pseudo out-of-sample prediction of US inflation, and find that it gives more accurate forecasts than simple equal weighted averaging. This superior performance is consistent across subsamples and inflation measures. Meanwhile, both methods substantially outperform a naive time series benchmark of predicting inflation by an autoregression.
Topic:
International Relations, Economics, and International Trade and Finance
Political Geography:
United States

8. Bayesian Model Averaging and Exchange Rate Forecasts

Author:
Jonathan H. Wright
Publication Date:
09-2003
Content Type:
Working Paper
Institution:
Board of Governors of the Federal Reserve System
Abstract:
Exchange rate forecasting is hard and the seminal result of Meese and Rogoff (1983) that the exchange rate is well approximated by a driftless random walk, at least for prediction purposes, has never really been overturned despite much effort at constructing other forecasting models. However, in several other macro and financial forecasting applications, researchers in recent years have considered methods for forecasting that combine the information in a large number of time series. One method that has been found to be remarkably useful for out-of-sample prediction is simple averaging of the forecasts of different models. This often seems to work better than the forecasts from any one model. Bayesian Model Averaging is a closely related method that has also been found to be useful for out-of-sample prediction. This starts out with many possible models and prior beliefs about the probability that each model is the true one. It then involves computing the posterior probability that each model is the true one, and averages the forecasts from the different models, weighting them by these posterior probabilities. This is effectively a shrinkage methodology, but with shrinkage over models not just over parameters. I apply this Bayesian Model Averaging approach to pseudo-out-of-sample exchange rate forecasting over the last ten years. I find that it compares quite favorably to a driftless random walk forecast. Depending on the currency-horizon pair, the Bayesian Model Averaging forecasts sometimes do quite a bit better than the random walk benchmark (in terms of mean square prediction error), while they never do much worse. The forecasts generated by this model averaging methodology are however very close to (but not identical to) those from the random walk forecast.
Topic:
International Relations, Economics, and International Trade and Finance
Political Geography:
United States

9. Identifying the Effects of Monetary Policy Shocks on Exchange Rates Using High Frequency Data

Author:
John H. Rogers, Jonathan H. Wright, Jon Faust, and Eric Swanson
Publication Date:
10-2002
Content Type:
Working Paper
Institution:
Board of Governors of the Federal Reserve System
Abstract:
This paper proposes a new approach to identifying the effects of monetary policy shocks in an international vector autoregression. Using high-frequency data on the prices of Fed Funds futures contracts, we measure the impact of the surprise component of the FOMC-day Federal Reserve policy decision on financial variables, such as the exchange rate and the foreign interest rate. We show how this information can be used to achieve identification without having to make the usual strong assumption of a recursive ordering.
Topic:
Economics, Emerging Markets, and International Trade and Finance
Political Geography:
United States

10. Testing the Null of Identification in GMM

Author:
Jonathan H. Wright
Publication Date:
07-2002
Content Type:
Working Paper
Institution:
Board of Governors of the Federal Reserve System
Abstract:
This paper proposes a new test of the null hypothesis that a generalized method of moments model is identified. The test can detect local or global underidentification, and underidentification in some or all directions. The idea of the test is to compare the volume of two confidence sets -- one that is robust to lack of identification and one that is not. Under the null hypothesis the relative volume of these two sets is Op(1), but under the alternative, the robust confidence set has high probability of being unbounded.
Topic:
Economics and International Trade and Finance
Political Geography:
United States