Venus, Khim-Sen Liew and Ahmad Zubaidi, Baharumshah and Lim, Kian-Ping (2003) Exchange Rates Forecasting Model : An Alternative Estimation Procedure. Research Gate.
PDF
Exchange Rates Forecasting Model ; An Alternative Estimation Procedure - Copy.pdf Download (242kB) |
Abstract
This study proposes an alternative procedure for modelling exchange rates behaviour, which is a linear combination of a long-run function and a short-run function. Our procedure involves modelling of the long-run relationship and this is followed by the short-run function. Among all the possible combination of modelling techniques, we proposed the simplest form, namely modelling the long-run function by the well established purchasing power parity (PPP) based model and setting up the short-run function based on its time series properties. Results of this study suggests that our procedure yields powerful forecasting models as they easily outperform the simple random walk model--which is rarely defeated in the literature of exchange rate forecasting--in term of out-of-sample forecasting, for all the forecast horizons ranging from one to fourteen quarters. This study provides us with some hope of achieving a reasonable forecast for the ASEAN currencies using the fundamental monetary model just by a simple adaptation.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | forecasting, exchange rate, purchasing power parity, interest rate, differential, mean deviation, mean percentage error, Fisher’s sign test, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak. |
Subjects: | H Social Sciences > HG Finance |
Divisions: | Academic Faculties, Institutes and Centres > Faculty of Economics and Business Faculties, Institutes, Centres > Faculty of Economics and Business |
Depositing User: | Gani |
Date Deposited: | 08 May 2020 01:18 |
Last Modified: | 08 Jun 2021 10:17 |
URI: | http://ir.unimas.my/id/eprint/29610 |
Actions (For repository members only: login required)
View Item |