Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/2155
Title: Forecasting Singapore's electronics trade and production.
Authors: Ng, Hui Min.
Ong, Si Hua.
Tan, Pin Ru.
Keywords: DRNTU::Business::Industries and labor
DRNTU::Business::Management::Forecasting
Issue Date: 2008
Abstract: In this study on the Singapore electronics industry, four domestic variables, namely retained electronics imports (LRIM), domestic electronics export (LDX), electronics re-exports (LRX) and industrial production (LIP), were linked with global chip sales (LCHIP), in a vector error correction model (VECM). Autoregressive Integrated Moving Average (ARIMA) models were also constructed for the four domestic variables to serve as a benchmark for the evaluation of forecast accuracy. In-sample and out-of-sample forecasts were generated using the recursive estimation method and both classes of models were evaluated based on the root mean square error (RMSE) of their forecasts. The results showed that the VECM model of lag length 2 proved to be better for forecasting LDX and LRX while ARIMA models performed better for LRIM and LIP.
URI: http://hdl.handle.net/10356/2155
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:HSS Student Reports (FYP/IA/PA/PI)

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