The Monetary Model of Exchange Rates and Cointegration: Estimation, Testing and Prediction

ISBN-13: 9783540556350 / Angielski / Miękka / 1992 / 194 str.

Javier Gardeazabal; Marta Regulez

Opis

The authors draw from the theory of cointegration in order to test the monetary model of exchange rate determination. They focus on the issue of optimal prediction in partially non-stationary multivariate time series models. In particular, they carry out an exchange rate prediction exercise.

Spis treści

1. Introduction.- 2. The Monetary Model of Exchange Rate Determination.- I. Introduction.- II. Monetary Models.- III. The Asset Market View.- IV. Empirical Evidence.- V. Treatment of Nonstationary Variables.- 3. Long Run Exchange Rate Determination I.- I. Introduction.- II. Some Preliminary Definitions and Engle and Granger Procedure.- III. Interpretation of Previous Results in terms of Cointegration.- IV. Testing for Cointegration Using Engle and Granger Methodology.- V. Empirical Results.- VI. Conclusions.- Appendix A.- 4. Long Run Exchange Rate Determination II.- I. Introduction.- II. Description of The Time Series Model.- III. The Data And Diagnostic Tests.- III.1. Data Description.- III.2. Diagnostic Tests on the Assumptions of the VAR.- IV. Estimation And Testing For Cointegration.- V. Tests of Several Hypotheses.- V.1. Testing for Known Cointegrating Vectors.- V.1.1 Testing for Trivial Cointegrating Vectors.- V.1.2. Testing for Cointegration between Fundamentals.- V.2. Tests of the same Linear Restrictions on all Cointegrating Vectors.- V.2.1. Testing the Exclusion of a Variable from all Cointegrating Vectors.- V.2.2 Testing for the Restrictions of a Monetary Equation.- VI. Conclusions.- Appendix A.- Appendix B.- 5. Short Run Exchange Rate Determination.- I. Introduction.- II. Weak Exogeneity of the Exchange Rate.- III. Testing for Weak Exogeneity.- IV. The Asset Market View Derived from an Error Correction Model.- V. Conclusions.- Appendix A.- 6. Effect of Non-Normal Disturbances on Likelihood Ratio Tests.- I. Introduction.- II. The Data Generating Process.- III. Hypotheses Tests.- III.1. Tests on the Number of Cointegrating Vectors.- III.2. Tests of Linear Restrictions on the Cointegrating Vector.- III.3. Tests of Restrictions on the Loadings Matrix.- IV. The Simulation Exercise.- IV.1. Empirical Size of the Tests.- IV.2. Power of the Tests.- V. Conclusions.- Appendix A: Size of the Tests.- Appendix B: Power of the Tests.- 7. Estimation of the Time Series Model.- I. Introduction.- II. Two Different Interpretations of the Time Series Model.- III. Estimation of the Model.- III.1. Unrestricted Model.- III.2. Restricted Short Run Dynamics.- III.3. Restricted Long Run Dynamics.- III.4. Restricted Short and Long Run Dynamics.- III.4.1. Gaussian Reduced Rank Maximum Likelihood Estimator.- III.4.2. Two Step Procedure.- 8. Prediction in Cointegrated Systems.- I. Introduction.- II. Properties of the True Forecasts from a Cointegrated System.- III. Estimated Forecasts from a Cointegrated System.- 9. Nominal Exchange Rate Prediction.- I. Introduction.- II. Review of Literature.- III. Forecasting Exercise.- IV. Conclusions.- Appendix A.- 10. A Simulation Exercise.- I. Introduction.- II. The Data Generating Process.- III. Results.- Appendix A.- 11. Conclusions.- Data Appendix.