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Structural, VAR and BVAR models of exchange rate determination: A comparison of their forecasting performance

✍ Scribed by Nicholas Sarantis; Chris Stewart


Publisher
John Wiley and Sons
Year
1995
Tongue
English
Weight
997 KB
Volume
14
Category
Article
ISSN
0277-6693

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✦ Synopsis


This paper compares the out-of-sample forecasting accuracy of a wide class of structural, BVAR and VAR models for major sterling exchange rates over different forecast horizons. As representative structural models we employ a portfolio balance model and a modified uncovered interest parity model, with the latter producing the more accurate forecasts. Proper attention to the long-run properties and the short-run dynamics of structural models can improve on the forecasting performance of the random walk model. The structural model shows substantial improvement in mediumterm forecasting accuracy, whereas the BVAR model is the more accurate in the short term. BVAR and VAR models in levels strongly outpmdict these models formulated in difference form at all forecast horizons.


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## Abstract In recent years there has been a considerable development in modelling non‐linearities and asymmetries in economic and financial variables. The aim of the current paper is to compare the forecasting performance of different models for the returns of three of the most traded exchange rat