Title:
Automated Visualisation of Time Series Components of Singapore's Gross Domestic Product (GDP) and Forecast Rheostat Using Innovative Breed Technique.

Authors:
Ajare Emmanuel Oloruntoba, Siyaka Muhammed Adebenege, Alabi Omeiza Samuel, Akuvada Alaba, Alabi Olushola Mumini, Adefabi Adekunlebc, Dare John Toluwani, Nigeria

Abstract:

Singapore is one of the country in the world that is self-dependent and don't often go into taken loan from world bank or other countries, to know the reason and why Singapore economy is stable is uncovered in this study. This study studied examine the trend of Singapore financial strength growth known as growth domestic product GDP.  This study examined the phenomenon, Structural change in the gross domestic product of Singapore and give recommendation. Singapore Gross Domestic Product (GDP) data was obtained from the data stream of National University Singapore e-library.  In the methodology, Innovative Breed Technique (IBT) also known as BFTSC (Break for time series components) was used to examine the structural change, time series components present in the data (Singapore GDP) using software. BFTSC was created to capture the trend, seasonal, cyclical and irregular components as a combined image and to present them in a single plot.  The result obtained, model acquired from the components (pattern) extracted using BFTSC was subsequently process for forecasting purposes and recommendation follows.

DOI: http://dx.doi.org/10.51505/ijaemr.2025.1502