Multivariate smooth transition AR model with aggregation operators and application to exchange rates
نویسنده
چکیده
An overview of multivariate modelling based on logistic and exponential smooth transition models with transition variable generated by aggregation operators and orders of auto and exogenous regression selected by information criterion separately for each regime is given. Model specification procedure is demonstrated on trivariate exchange rates time series. The application results show satisfactory improvement in fit when particular aggregation operators are used. Source code in the form of Mathematica package is provided.
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عنوان ژورنال:
- Kybernetika
دوره 43 شماره
صفحات -
تاریخ انتشار 2007