Forecasting Singapore's electronics trade and production.

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 (V...

Full description

Bibliographic Details
Main Authors: Ng, Hui Min., Ong, Si Hua., Tan, Pin Ru.
Other Authors: Choy, Keen Meng
Format: Final Year Project (FYP)
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/2155
_version_ 1811695002981498880
author Ng, Hui Min.
Ong, Si Hua.
Tan, Pin Ru.
author2 Choy, Keen Meng
author_facet Choy, Keen Meng
Ng, Hui Min.
Ong, Si Hua.
Tan, Pin Ru.
author_sort Ng, Hui Min.
collection NTU
description 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.
first_indexed 2024-10-01T07:16:33Z
format Final Year Project (FYP)
id ntu-10356/2155
institution Nanyang Technological University
last_indexed 2024-10-01T07:16:33Z
publishDate 2008
record_format dspace
spelling ntu-10356/21552019-12-10T12:07:54Z Forecasting Singapore's electronics trade and production. Ng, Hui Min. Ong, Si Hua. Tan, Pin Ru. Choy, Keen Meng School of Humanities and Social Sciences DRNTU::Business::Industries and labor DRNTU::Business::Management::Forecasting 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. Bachelor of Arts 2008-09-16T06:35:14Z 2008-09-16T06:35:14Z 2008 2008 Final Year Project (FYP) http://hdl.handle.net/10356/2155 Nanyang Technological University application/pdf
spellingShingle DRNTU::Business::Industries and labor
DRNTU::Business::Management::Forecasting
Ng, Hui Min.
Ong, Si Hua.
Tan, Pin Ru.
Forecasting Singapore's electronics trade and production.
title Forecasting Singapore's electronics trade and production.
title_full Forecasting Singapore's electronics trade and production.
title_fullStr Forecasting Singapore's electronics trade and production.
title_full_unstemmed Forecasting Singapore's electronics trade and production.
title_short Forecasting Singapore's electronics trade and production.
title_sort forecasting singapore s electronics trade and production
topic DRNTU::Business::Industries and labor
DRNTU::Business::Management::Forecasting
url http://hdl.handle.net/10356/2155
work_keys_str_mv AT nghuimin forecastingsingaporeselectronicstradeandproduction
AT ongsihua forecastingsingaporeselectronicstradeandproduction
AT tanpinru forecastingsingaporeselectronicstradeandproduction