Error correction exchange rate modeling: Evidence for Mexico

A set of error correction models are proposed for the nominal exchange rate between the Mexican peso and the United States dollar. The basic theoretical frameworks utilize balance of payments and monetary constructs. Empirical estimation results are fairly weak for both specifications irrespective of the interest rate variable selected. Although dynamic simulation properties of the equations are acceptable, in no case do they generate levels of accuracy that exceed those associated with a random walk. Partial funding support for this research was provided by El Paso Electric Company, the Fulbright Council for International Exchange of Scholars, the Center for Inter American and Border Studies at the University of Texas at El Paso, and the Federal Reserve Bank of Dallas. Econometric research assistance was provided by David Torres and Roberto Tinajero. Helpful comments were provided by two anonymous referees, Joachim Zietz, Luis Berrnardo Torres, and participants at the 2001 American Statistical Association meetings in Atlanta.     

The relationship between oil prices,the stock market and the exchange rate: Evidence from Mexico

This paper analyzes the variables of oil price, exchange rate and stock market index to explain how they interact with each other in the Mexican economy. The examined period includes monthly data from January 1992 to June 2017. A Vector Autoregressive Model (VAR) is implemented that includes oil prices, the nominal exchange rate, the Mexican stock market index, and the consumer price index. Results indicate that the exchange rate has a negative and statistically significant effect on the stock market index; this indicates that an appreciation of the exchange rate is related to an increase in the stock market index. It is also found that the consumer price index has a positive effect on the exchange rate and a negative effect on the stock market index. The results also indicate that oil prices are statistically significant against the exchange rate, concluding that an increase in oil prices creates an appreciation of the exchange rate. In addition, the impulse-response functions show that the effects found tend to disappear over time.     

Time-varying risk aversion and renminbi exchange rate volatility: Evidence from CARR-MIDAS model

In this paper, we investigate the relation between time-varying risk aversion and renminbi exchange rate volatility using the conditional autoregressive range-mixed-data sampling (CARR-MIDAS) model. The CARR-MIDAS model is a range-based volatility model, which exploits intraday information regarding the intraday trajectory of the price. Moreover, the model features a MIDAS structure allowing for time-varying risk aversion to drive the long-run volatility dynamics. Our empirical results show that time-varying risk aversion has a significantly negative effect on the long-run volatility of renminbi exchange rate. Moreover, we observe that both intraday ranges and time-varying risk aversion contain important information for forecasting renminbi exchange rate volatility. The range-based CARR-MIDAS model incorporating time-varying risk aversion provides more accurate out-of-sample forecasts of renminbi exchange rate volatility compared to a variety of competing models, including the return-based GARCH, GARCH-MIDAS and GARCH-MIDAS incorporating time-varying risk aversion as well as range-based CARR, CARR-MIDAS and heterogeneous autoregressive (HAR), for forecast horizons of 1 day up to 3 months. This result is robust to alternative risk aversion measure, alternative MIDAS lags as well as alternative out-of-sample periods. Overall, our findings highlight the value of incorporating intraday information and time-varying risk aversion for forecasting the renminbi exchange rate volatility.     

Bilateral trade flows and exchange rate sensitivity: Evidence from likelihood-based panel cointegration

This paper estimates price and income elasticities for bilateral trade equations between Sweden and her eight major trading partners for the period 1960–2001. The methodology used here is the likelihood-based panel cointegration recently developed in the literature. Evidence is found that depreciation of the SEK is expected to improve the Swedish export sector towards six of her eight major trading partners. Regarding Swedish imports, only in four of the eight cases, the price elasticity indicates that depreciation of the SEK decreases Swedish imports. Considering the Marshall–Lerner condition, this is fulfilled for two of the eight countries in the sample. The income elasticities are found to be positive for all countries in the sample. The policy implications of our results are discussed.     

企业防范汇率风险对策

随着社会主义市场经济体制的建立,企业经营自主权的扩大,企业所面临的各种风险相应增大。特别是国家对企业的外贸经营权的放开,对于外向型企业来说,有一个汇率风险问题。近年来国内外外汇市场波动剧烈,为了避免遭受不必要的损失,企业应采取积极的防范措施。本文旨在对影响汇率波动的主要因素、汇率风险在我国对外经贸活动中的表现及防范汇率风险的方法等问题,作一番简明的分析和总结。     

Regime switching as a test for exchange rate bubbles

This paper develops a new test for speculative bubbles, which is applied to data for the Japanese yen, the German mark and the Canadian dollar exchange rates from 1977 to 1991. The test assumes that bubbles display a particular kind of regime-switching behaviour, which is shown to imply coefficient restrictions on a simple switching-regression model of exchange rate innovations. Test results are sensitive to the specification of exchange rate fundamentals and other factors. Evidence most consistent with the bubble hypothesis is found using an overshooting model of the Canadian dollar and a PPP model of the Japanese yen.     

Impact of an unexplained component of real exchange rate volatility on FDI: Evidence from transition countries

The aim of this paper is to examine the impact of an unexplained component of real exchange rate volatility on FDI in transition economies. We make an attempt to overcome some problems associated with previous studies; the aggregation problem, inadequate measures of volatility, short-run focus and the endogeneity problem. Using a GARCH specification, we focus on long-run volatility, while we control for the endogeneity problem by applying SYS-GMM estimation. The obtained results show that the impact of the unexplained component of real exchange rate volatility on FDI differs among economic activities since 2000. As part of the re-estimation exercise, we use two alternative measures of volatility to avoid arbitrariness. The obtained results are to a large extent in accordance with the first one.     

Capital control and exchange rate volatility

The study offers one conceptual and theoretical framework for evaluating the economic effects of a trading tax on foreign exchange transactions. Taxes and the price stickiness mechanism are taken into account in the model. When prices are flexible, full monetary neutrality can be obtained even in the short-term. Intuitively, taxes on foreign exchange transactions discourage speculation by rising currency trading costs, and, thus, increase the stability of the exchange rate. Finally, the results show that not only the exchange rate but consumption, investment and employment will become less volatile by imposing trading taxes on foreign exchange transactions.     

Economic theory and exchange rate forecasts

Businesses use forecasts of exchange rates to make decisions about production, employment, investment, financial management, and pricing decisions. The proper statistical criteria for making and evaluating these exchange rate forecasts are implied by the underlying decision problem. That decision problem is in turn affected by the economic environment facing the firm and its industry, the overall macroeconomic situation, and the main types of disturbances affecting exchange rates. In general, the proper loss function for the forecasting problem will be asymmetric.     

Statistical learning and exchange rate forecasting

This study uses innovative tools recently proposed in the statistical learning literature to assess the capability of standard exchange rate models to predict the exchange rate in the short and long runs. Our results show that statistical learning methods deliver remarkably good performance, outperforming the random walk in forecasting the exchange rate at different forecasting horizons, with the exception of the very short term (a period of one to two months). These results were robust across countries, time, and models. We then used these tools to compare the predictive capabilities of different exchange rate models and model specifications, and found that sticky price versions of the monetary model with an error correction specification delivered the best performance. We also explain the operation of the statistical learning models by developing measures of variable importance and analyzing the kind of relationship that links each variable with the outcome. This gives us a better understanding of the relationship between the exchange rate and economic fundamentals, which appears complex and characterized by strong non-linearities.     

天碁科技：守望1亿个TD用户的出现

精兵简政、节衣缩食、备受煎熬，乃至直接死去。 ‘这就是《中国企业家》走访大唐移动、天基科技、鼎桥、重邮信科、凯明5家为TDSCDMA标准而生的企业时所了解的现状。跟其他TD产业链中的企业不同，这5家企业只专注于TD产业。     

An objective function for simulation based inference on exchange rate data

The assessment of models of financial market behaviour requires evaluation tools. When complexity hinders a direct estimation approach, e.g., for agent based microsimulation models, simulation based estimators might provide an alternative. In order to apply such techniques, an objective function is required, which should be based on robust statistics of the time series under consideration. Based on the identification of robust statistics of foreign exchange rate time series in previous research, an objective function is derived. This function takes into account stylized facts about the unconditional distribution of exchange rate returns and properties of the conditional distribution, in particular, autoregressive conditional heteroscedasticity and long memory. A bootstrap procedure is used to obtain an estimate of the variance-covariance matrix of the different moments included in the objective function, which is used as a base for the weighting matrix. Finally, the properties of the objective function are analyzed for two different agent based models of the foreign exchange market, a simple GARCH-model and a stochastic volatility model using the DM/US-$ exchange rate as a benchmark. It is also discussed how the results might be used for inference purposes. Research has been supported by the DFG grant WI 20024/2-1/2. We are indebted to two anonymous referees of this journal, Leigh Tesfatsion, Patrick Burns and other participants of the CEF’06 conference in Limassol for helpful comments on preliminary versions of this paper.     

Cross-border restaurant price and exchange rate interactions

Purchasing power parity suggests that international price ratios for identical goods should approximate nominal exchange rates for the currencies in which the prices are denominated. Deviations of the price ratios from exchange rates can occur for a number of reasons and mixed evidence has been recorded for how long those deviations last. Empirical evidence for international restaurant prices in El Paso, Texas and Ciudad Juarez, Mexico confirms that menu item price ratios are strongly correlated with the peso/dollar exchange rate. An earlier exploratory study of eight individual products also indicated that half-life deviations in this market are very short. This study utilizes additional data from a larger and more extensive sample to examine if the prior results are confirmed.     

Understanding spot and forward exchange rate regressions

Using the Kalman filter, we obtain maximum likelihood estimates of a permanent–transitory components model for log spot and forward dollar prices of the pound, the franc, and the yen. This simple parametric model is useful in understanding why the forward rate may be an unbiased predictor of the future spot rate even though an increase in the forward premium predicts a dollar appreciation. Our estimates of the expected excess return on short-term dollar-denominated assets are persistent and reasonable in magnitude. They also exhibit sign fluctuations and negative covariance with the estimated expected depreciation. © 1997 John Wiley & Sons, Ltd.     

Bayesian Model Averaging and exchange rate forecasts

Exchange rate forecasting is hard and the seminal result of Meese and Rogoff [Meese, R., Rogoff, K., 1983. Empirical exchange rate models of the seventies: Do they fit out of sample? Journal of International Economics 14, 3–24] that the exchange rate is well approximated by a driftless random walk, at least for prediction purposes, still stands 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 effectively combine the information in a large number of time series. In this paper, I apply one such method for pooling forecasts from several different models, Bayesian Model Averaging, to the problem of pseudo out-of-sample exchange rate predictions. For most currency–horizon pairs, the Bayesian Model Averaging forecasts using a sufficiently high degree of shrinkage, give slightly smaller out-of-sample mean square prediction error than the random walk benchmark. The forecasts generated by this model averaging methodology are however very close to, but not identical to, those from the random walk forecast.     

The great exchange rate debate after Argentina

In this paper I discuss in what way, if any, the collapse of Argentina’s experience with a currency board has affected the policy debate on the appropriate exchange rate regime in emerging and transition countries. More specifically, I deal with three issues: (1) I discuss some important aspects of the Argentine experience; (2) I provide a comparative evaluation of economic performance under strict dollarization; and (3) I analyze emerging countries’ experiences with flexible exchange rates, including the issue of “fear of floating.”     

Cointegration and models of exchange rate determination

The application of new techniques in testing for cointegration indicate the inappropriate- ness of the pure monetary model to explain movements in the nominal exchange rate. In general the fundamental variables are found to be integrated of different orders and there is a lack of cointegration between the exchange rate variables in the monetary model and relative prices. Estimation of other dynamic models are found to give rise to parameter estimates which do not support the monetary model. The results are broadly consistent across five countries. These results imply that it is not worthwhile to forecast from the monetary model and its main variants.     

The effects of exchange rate fluctuations on the stock market and the affecting mechanisms: Evidence from BRICS countries

Using data from BRICS countries, we apply the TVP-VAR model to analyze the effects of exchange rate fluctuations on their stock markets and the mechanisms leading to those effects. We find that for BRICS countries, there are similarities as well as differences in the extent, direction, and duration of the effects of exchange rate changes on the stock market. As for the affecting mechanisms, Brazil is almost entirely driven by the financial account, while the current account is dominant for Russia, whereas India, China, and South Africa depend on both mechanisms.     

Heterogeneity dependence between oil prices and exchange rate: Evidence from a parametric test of Granger causality in quantiles

This paper re-examines the nexus between crude oil price and exchange rate by investigating their heterogeneity dependence structure within the framework of Granger causality in quantiles for a sample of developed and emerging economies (namely UK, Canada, Brazil, Russia, Mexico, Norway, India, Japan, South Africa, South Korea and European Union (EU)). The results indicate no distinct causality between the crude oil price changes and the real exchange rate returns for all countries besides Russia at the median of the conditional distribution. Besides, the crude oil price changes influence the exchange rate returns in all countries, except Norway and EU, particularly around the tails of the conditional distributions of exchange rate returns. This suggests that the oil price changes influence the real exchange rate returns when the real exchange rate returns are either in extreme appreciation or depreciation. Moreover, the crude oil price movement can be explained by the exchange rate returns for most oil importers only when the crude oil market is bearish or bullish. By contrast, the real exchange rate can permanently affect the crude oil price for most oil-importing countries irrespective of the crude oil market's state. Finally, our findings provide an essential reference for managing the extreme risk dependence between the exchange rate market and the crude oil market.     

Nonlinear adjustment,purchasing power parity and the role of nominal exchange rates and prices

Although the literature on purchasing power parity (PPP) is rich in controversy, the relative contribution of prices and nominal exchange rates to real exchange rate movements which restore PPP disequilibria has rarely been put under any close scrutiny. This paper as a first step applies a cointegrated VAR framework to test for stationary real exchange rates and linear adjustments in prices and nominal exchange rates. As a second step, ESTR error correction models are fitted to test whether nonlinear error correctional behaviour characterizes the data. The results clearly indicate that the nominal exchange rate is responsible for the nonlinear mean reverting behaviour in real exchange rates and also mainly drives overall adjustment. Applying dynamic stochastic simulations based on the estimated models, this study also confirms recent results that the half-life times of real exchange rate shocks are significantly smaller than the consensus benchmark of 3–5 years.