Evaluation of GARCH model Adequacy in forecasting Non-linear economic time series data
نویسندگان
چکیده
To date in literature, GARCH model has been described not suitable for non-linear foreign exchange series and therefore this paper proposes an Augmented GARCH model that could capture both linear and non-linear behavior of data. The properties of this new model is derived and found to have a minimum variance compared with GARCH model. We employ the use of Brock-DechertScheinkman (BDS) test statistic to confirm the suitability of GARCH model on the data; the new methodology proposed is illustrated with foreign exchange rate data from Great Britain (Pound) and Botswana (Pula) against United States of America (Dollar). 1 Department of Statistics, University of Botswana, Botswana, Gaborone. 2 Department of Statistics, University of Botswana, Botswana, Gaborone. 3 Department of Statistics, University of Botswana, Botswana, Gaborone. * Corresponding author. Article Info: Received : December 4, 2012. Revised : January 19, 2013 Published online : June 20, 2013 2 Evaluation of GARCH model Adequacy in forecasting ...
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