Forecasting the exchange rate in South Africa : a comparative analysis challenging the random walk model
- Botha, Ilsé, Pretorius, Marinda
- Authors: Botha, Ilsé , Pretorius, Marinda
- Date: 2009
- Subjects: Foreign exchange rates - South Africa - Forecasting
- Type: Article
- Identifier: uj:5526 , ISSN 1993-8233 , http://hdl.handle.net/10210/13933
- Description: Literature shows that exchange rates are largely unpredictable, and that a simple random walk outperforms structural exchange rate models. In order to determine whether fundamentals explain exchange rate behaviour in South Africa, the two approaches to exchange rate forecasting - the technical and fundamental approach - will be compared. Various univariate time series models, including the random walk model, will be compared to various multivariate time series models (using the MAD/mean ratio), combining the two approaches. The determinants of the South African exchange rate are identified, and these determinants are used to specify multivariate time series models for the South African exchange rate. The multivariate models (VARMA) outperformed the univariate models (except for the Random walk model) in the short-run forecasts, one step ahead, while the multivariate models, performed better in the longer-run forecasts. To improve the accuracy of especially the multivariate models, it is recommended that multiple frequencies be used to capture the dynamic behaviour between variables in a Structural VAR framework.
- Full Text:
- Authors: Botha, Ilsé , Pretorius, Marinda
- Date: 2009
- Subjects: Foreign exchange rates - South Africa - Forecasting
- Type: Article
- Identifier: uj:5526 , ISSN 1993-8233 , http://hdl.handle.net/10210/13933
- Description: Literature shows that exchange rates are largely unpredictable, and that a simple random walk outperforms structural exchange rate models. In order to determine whether fundamentals explain exchange rate behaviour in South Africa, the two approaches to exchange rate forecasting - the technical and fundamental approach - will be compared. Various univariate time series models, including the random walk model, will be compared to various multivariate time series models (using the MAD/mean ratio), combining the two approaches. The determinants of the South African exchange rate are identified, and these determinants are used to specify multivariate time series models for the South African exchange rate. The multivariate models (VARMA) outperformed the univariate models (except for the Random walk model) in the short-run forecasts, one step ahead, while the multivariate models, performed better in the longer-run forecasts. To improve the accuracy of especially the multivariate models, it is recommended that multiple frequencies be used to capture the dynamic behaviour between variables in a Structural VAR framework.
- Full Text:
Direct versus indirect forecasting of the defined real exchange rate of South Africa
- Pretorius, Marinda, Botha, Ilsé
- Authors: Pretorius, Marinda , Botha, Ilsé
- Date: 2010
- Subjects: Foreign exchange rates - South Africa - Forecasting
- Type: Article
- Identifier: uj:5525 , ISSN 16059786 , http://hdl.handle.net/10210/13931
- Description: The real exchange rate of South Africa can be forecasted using the direct or the indirect methods of forecasting. This article compares the forecasting results of direct and indirect forecasting of the real exchange rate by using two multivariate model. and a multivariate model. The direct models outperformed the indirect models in-sample and the indirect models generally outperformed the direct models out-of-sample. Given the closeness of the forecasting results, the modeller should decide whether it is worth the effort to forecast the real exchange rate indirectly if similar results can be obtained from a (less time-consuming) direct method.
- Full Text:
- Authors: Pretorius, Marinda , Botha, Ilsé
- Date: 2010
- Subjects: Foreign exchange rates - South Africa - Forecasting
- Type: Article
- Identifier: uj:5525 , ISSN 16059786 , http://hdl.handle.net/10210/13931
- Description: The real exchange rate of South Africa can be forecasted using the direct or the indirect methods of forecasting. This article compares the forecasting results of direct and indirect forecasting of the real exchange rate by using two multivariate model. and a multivariate model. The direct models outperformed the indirect models in-sample and the indirect models generally outperformed the direct models out-of-sample. Given the closeness of the forecasting results, the modeller should decide whether it is worth the effort to forecast the real exchange rate indirectly if similar results can be obtained from a (less time-consuming) direct method.
- Full Text:
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