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These notes draw from the Theory of Cointegration in order to test the monetary model of exchange rate determination. Previous evidence shows that the monetary model does not capture the short run dynamics of the exchange rate, specially when assessed in terms of forecasting accuracy. Even though the monetary equations of exchange rate determination may be bad indicators of how exchange rates are determined in the short run, they couldstill describe long run equilibrium relationships between the exchange rate and its fundamentals. Stationary deviations from those long run relationships are allowed in the short run. This book also addresses severalissues on Cointegration. Chapter 6 studies the small sample distribution of the likelihood ratio test statistics (on the dimension and restrictions on the cointegrating space) under deviations from normality. This monograph also focuses on the issue of optimal prediction in partially nonstationary multivariate time series models. In particular, it caries out an exchange rate prediction exercise.
These notes draw from the Theory of Cointegration in order to test the monetary model of exchange rate determination. Previous evidence shows that the monetary model does not capture the short run dynamics of the exchange rate, specially when assessed in terms of forecasting accuracy. Even though the monetary equations of exchange rate determination may be bad indicators of how exchange rates are determined in the short run, they couldstill describe long run equilibrium relationships between the exchange rate and its fundamentals. Stationary deviations from those long run relationships are allowed in the short run. This book also addresses severalissues on Cointegration. Chapter 6 studies the small sample distribution of the likelihood ratio test statistics (on the dimension and restrictions on the cointegrating space) under deviations from normality. This monograph also focuses on the issue of optimal prediction in partially nonstationary multivariate time series models. In particular, it caries out an exchange rate prediction exercise.
We re-examine the monetary approach to the exchange rate from a number of perspectives, using monthly data on the deutschemark-dollar exchange rate. Using the Campbell-Shiller technique for testing present value models, we reject the restrictions imposed upon the data by the forward-looking rational expectations monetary model. We demonstrate, however, that the monetary model is validated as a long-run equilibrium condition. Moreover, imposing the long-run monetary model restrictions in a dynamic error correction framework leads to exchange rate forecasts which are superior to those generated by a random walk forecasting model.
We revisit the dramatic failure of monetary models in explaining exchange rate movements. Using the information content from 98 countries, we find strong evidence for cointegration between nominal exchange rates and monetary fundamentals. We also find fundamentalsbased models very successful in beating a random walk in out-of-sample prediction.
In this paper we survey the recent literature on long run, or equilibrium, exchange rate modeling. In particular, we review the voluminous literature which tests for a unit root in real exchange rates and the closely related work on testing for a unit root in the residual from a regression of the nominal exchange rate on relative prices. We argue that the balance of evidence is supportive of the existence of some form of long-run exchange rate relationship. The form of this relationship, however, does not accord exactly with a traditional representation of the long-run exchange rate. We offer some potential explanations for this lack of conformity.
One aim of this book is to examine the causes of fluctuations in the mark/dollar, pound/dollar, and yen/dollar real exchange rates for the period 1972-1994 with quarterly data to determine appropriate policy recommendations to reduce these movements. A second aim is to investigate whether the three real exchange rates are covariance-stationary or not and to which extent they are covariance-stationary, respectively. These aims are reached by using a two-country overshooting model for real exchange rates with real government expenditure and by applying Johansen's maximum likelihood cointegration procedure and a factor model of Gonzalo and Granger to this model.
A panel data set for six Central and Eastern European countries (the Czech Republic, Hungary, Poland, Romania, Slovakia and Slovenia) is used to estimate the monetary exchange rate model with panel cointegration methods, including the Pooled Mean Group estimator, the Fully Modified Least Square estimator and the Dynamic Least Square estimator. The monetary model is able to convincingly explain the long-run dynamics of exchange rates in CEECs, particularly when this is supplemented by a Balassa-Samuelson effect. We then use our long-run monetary estimates to compute equilibrium exchange rates. Finally, we discuss the implications for the accession of selected countries to the European Economic and Monetary Union.
We investigate the long-run relationship between the real exchange rate, traded and nontraded productivity levels, and government spending for 14 OECD countries, using recently developed panel cointegration tests. The results indicate that under certain assumptions it is easier to detect cointegration in panel data than in the available time series; moreover, the rate of reversion to long-run equilibrium is estimated with greater precision. Using the model augmented by oil prices, we find that in 1991 (the last year productivity data are available) there is less overvaluation of the U.S. dollar than that implied by a naive version of purchasing power parity.
Exchange rate forecasts are generated using some popular monetary models of exchange rates in conjunction with several estimation techniques. We propose an alternative set of criteria for evaluating forecast rationality which entails the following requirements: the forecast and the actual series i) have the same order of integration, ii) are cointegrated, and iii) have a cointegrating vector consistent with long run unitary elasticity of expectations. When these conditions hold, we consider the forecasts to be consistent.' We find that it is fairly easy for the generated forecasts to pass the first requirement. However, according to the Johansen procedure, cointegration fails to hold the farther out the forecasts extend. At the one year ahead horizon, most series and their respective forecasts do not appear cointegrated. Of the cointegrated pairs, the restriction of unitary elasticity of forecasts with respect to actual appears not to be rejected in general. The exception to this pattern is in the case of the error correction models in the longer subsample. Using the Horvath-Watson procedure, which imposes a unitary coefficient restriction, we find fewer instances of consistency, but a relatively higher proportion of the identified cases of consistency are found at the longer horizons.
This work examines the development of the determinants of the exchange rate system since the mid-1970s. It scrutinises the main theoretical models of exchange rate determination and assesses their empirical validity drawn from recent econometric results (based on cointegration methodology).