Forecasting combination and encompassing tests

نویسنده

  • Yue Fang
چکیده

In this paper we demonstrate that forecast encompassing tests are valuable tools in getting an insight into why competing forecasts may be combined to produce a composite forecast which is superior to the individual forecasts. We also argue that results from forecast encompassing tests are potentially useful in model specification. We illustrate this using forecasts of quarterly UK consumption expenditure data from three classes of models: ARIMA, DHSY and VAR models.  2002 International Institute of Forecasters. Published by Elsevier Science B.V. All rights reserved.

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تاریخ انتشار 2003