Forecasting Singapore exchange stocks (commodities & transport) : combined analyses of fundamental, technical, and news techniques

This report constitutes the knowledge, learning processes, and stocks analyses conducted by the writer for his final year project. Selection of profitable Singapore Exchange (SGX) transportation and commodity stocks proved to be ever more challenging and complicated due to the strong volatility in t...

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Main Author: Goh, Justin Junn Hau
Other Authors: Wong Jia Yiing, Patricia
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/149581
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author Goh, Justin Junn Hau
author2 Wong Jia Yiing, Patricia
author_facet Wong Jia Yiing, Patricia
Goh, Justin Junn Hau
author_sort Goh, Justin Junn Hau
collection NTU
description This report constitutes the knowledge, learning processes, and stocks analyses conducted by the writer for his final year project. Selection of profitable Singapore Exchange (SGX) transportation and commodity stocks proved to be ever more challenging and complicated due to the strong volatility in the market. Hence, many banking analysts and investors working in the financial hubs are finding new solutions and strategies to beat the market. In past research papers, there were inadequate analyses conducted solely on SGX stocks that showed efficacy in yielding high profit margins for investors. In this paper, three methods of analyses are carried out for the sector of transportation and commodity- fundamental analysis (FA), technical analysis (TA), and news analysis (NA). Grey Relational Analysis (GRA) theory and an adopted data envelopment analysis (DEA) model, i.e. Charnes, Cooper and Rhodes (CCR), are used to identify optimal financial efficiency of each stock, which is based on multi decision-making variables obtained from the balance sheets, income statement, and cash flow. A series of technical indicators are applied for further analysis of these stocks to simulate profit margins on Pinescript-TradingView. The effectiveness of each technical indicators is evaluated based on the writer’s interpretation to determine the probability of winnings with numerous back-testing between the year 2015 and 2019. These top ranked stocks would be further studied with the information of ex-dividend date, news headlines, and companies’ latest updates- i.e. announcements earnings.
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spelling ntu-10356/1495812023-07-07T18:21:22Z Forecasting Singapore exchange stocks (commodities & transport) : combined analyses of fundamental, technical, and news techniques Goh, Justin Junn Hau Wong Jia Yiing, Patricia School of Electrical and Electronic Engineering EJYWong@ntu.edu.sg Engineering::Electrical and electronic engineering This report constitutes the knowledge, learning processes, and stocks analyses conducted by the writer for his final year project. Selection of profitable Singapore Exchange (SGX) transportation and commodity stocks proved to be ever more challenging and complicated due to the strong volatility in the market. Hence, many banking analysts and investors working in the financial hubs are finding new solutions and strategies to beat the market. In past research papers, there were inadequate analyses conducted solely on SGX stocks that showed efficacy in yielding high profit margins for investors. In this paper, three methods of analyses are carried out for the sector of transportation and commodity- fundamental analysis (FA), technical analysis (TA), and news analysis (NA). Grey Relational Analysis (GRA) theory and an adopted data envelopment analysis (DEA) model, i.e. Charnes, Cooper and Rhodes (CCR), are used to identify optimal financial efficiency of each stock, which is based on multi decision-making variables obtained from the balance sheets, income statement, and cash flow. A series of technical indicators are applied for further analysis of these stocks to simulate profit margins on Pinescript-TradingView. The effectiveness of each technical indicators is evaluated based on the writer’s interpretation to determine the probability of winnings with numerous back-testing between the year 2015 and 2019. These top ranked stocks would be further studied with the information of ex-dividend date, news headlines, and companies’ latest updates- i.e. announcements earnings. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-06-04T13:13:27Z 2021-06-04T13:13:27Z 2021 Final Year Project (FYP) Goh, J. J. H. (2021). Forecasting Singapore exchange stocks (commodities & transport) : combined analyses of fundamental, technical, and news techniques. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149581 https://hdl.handle.net/10356/149581 en A1177-201 application/pdf Nanyang Technological University
spellingShingle Engineering::Electrical and electronic engineering
Goh, Justin Junn Hau
Forecasting Singapore exchange stocks (commodities & transport) : combined analyses of fundamental, technical, and news techniques
title Forecasting Singapore exchange stocks (commodities & transport) : combined analyses of fundamental, technical, and news techniques
title_full Forecasting Singapore exchange stocks (commodities & transport) : combined analyses of fundamental, technical, and news techniques
title_fullStr Forecasting Singapore exchange stocks (commodities & transport) : combined analyses of fundamental, technical, and news techniques
title_full_unstemmed Forecasting Singapore exchange stocks (commodities & transport) : combined analyses of fundamental, technical, and news techniques
title_short Forecasting Singapore exchange stocks (commodities & transport) : combined analyses of fundamental, technical, and news techniques
title_sort forecasting singapore exchange stocks commodities transport combined analyses of fundamental technical and news techniques
topic Engineering::Electrical and electronic engineering
url https://hdl.handle.net/10356/149581
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