Price action prediction of undervalued SGX stocks (finance and conglomerates)

Fundamental analysis focuses on a company's financial and business revenues, while technical analysis disregards business fundamentals and focuses solely on price and market movements. Increased market volatility when key events are nearing, prompted for an additional form of news analysis on m...

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Main Author: Loo, Gan Wee
Other Authors: Wong Jia Yiing, Patricia
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/149775
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1497752023-07-07T17:41:21Z Price action prediction of undervalued SGX stocks (finance and conglomerates) Loo, Gan Wee Wong Jia Yiing, Patricia School of Electrical and Electronic Engineering EJYWong@ntu.edu.sg Engineering::Electrical and electronic engineering Fundamental analysis focuses on a company's financial and business revenues, while technical analysis disregards business fundamentals and focuses solely on price and market movements. Increased market volatility when key events are nearing, prompted for an additional form of news analysis on market sentiments to be done. This study focused on evaluating the 3 different forms of analysis on multiple time periods and timeframes. The research was conducted on finance and conglomerate companies listed on the Singapore Exchange. Effectiveness of fundamental, technical and news analyses were studied from Years 2011 to 2020, with overall win rate and return on equity as performance indicators. A stock ranking system created which encompassed qualitative and quantitative aspects of fundamental analysis was used to separate strong and weak companies into different baskets. The technical strategy was conceptualized to identify trends in the stock market and used technical patterns and indicators on multiple timeframes. Opportunities to scale into trades were supplemented by news analysis related to ex-dividend dates and quarterly financial earnings. Results showed that the strategy created using technical analysis was effective at identifying key entry and exit points. The effectiveness of fundamental analysis was evident from the rise in overall percentage profits and overall win rates when trading on the stronger stocks previously identified as opposed to trading indiscriminately. However, underperforming stocks were unable to match overperforming stocks. In addition, entering trades prior to ex-dividend dates and exiting after taking dividends proved profitable. Scaling in immediately after quarterly reports were announced and exiting within 5 days during the testing period also showed potential for excess returns. Frequency which fundamental analysis should be conducted, best timeframe to conduct technical analysis as well as timings to enter and exit using news analysis are discussed. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-06-08T01:50:32Z 2021-06-08T01:50:32Z 2021 Final Year Project (FYP) Loo, G. W. (2021). Price action prediction of undervalued SGX stocks (finance and conglomerates). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149775 https://hdl.handle.net/10356/149775 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Loo, Gan Wee
Price action prediction of undervalued SGX stocks (finance and conglomerates)
description Fundamental analysis focuses on a company's financial and business revenues, while technical analysis disregards business fundamentals and focuses solely on price and market movements. Increased market volatility when key events are nearing, prompted for an additional form of news analysis on market sentiments to be done. This study focused on evaluating the 3 different forms of analysis on multiple time periods and timeframes. The research was conducted on finance and conglomerate companies listed on the Singapore Exchange. Effectiveness of fundamental, technical and news analyses were studied from Years 2011 to 2020, with overall win rate and return on equity as performance indicators. A stock ranking system created which encompassed qualitative and quantitative aspects of fundamental analysis was used to separate strong and weak companies into different baskets. The technical strategy was conceptualized to identify trends in the stock market and used technical patterns and indicators on multiple timeframes. Opportunities to scale into trades were supplemented by news analysis related to ex-dividend dates and quarterly financial earnings. Results showed that the strategy created using technical analysis was effective at identifying key entry and exit points. The effectiveness of fundamental analysis was evident from the rise in overall percentage profits and overall win rates when trading on the stronger stocks previously identified as opposed to trading indiscriminately. However, underperforming stocks were unable to match overperforming stocks. In addition, entering trades prior to ex-dividend dates and exiting after taking dividends proved profitable. Scaling in immediately after quarterly reports were announced and exiting within 5 days during the testing period also showed potential for excess returns. Frequency which fundamental analysis should be conducted, best timeframe to conduct technical analysis as well as timings to enter and exit using news analysis are discussed.
author2 Wong Jia Yiing, Patricia
author_facet Wong Jia Yiing, Patricia
Loo, Gan Wee
format Final Year Project
author Loo, Gan Wee
author_sort Loo, Gan Wee
title Price action prediction of undervalued SGX stocks (finance and conglomerates)
title_short Price action prediction of undervalued SGX stocks (finance and conglomerates)
title_full Price action prediction of undervalued SGX stocks (finance and conglomerates)
title_fullStr Price action prediction of undervalued SGX stocks (finance and conglomerates)
title_full_unstemmed Price action prediction of undervalued SGX stocks (finance and conglomerates)
title_sort price action prediction of undervalued sgx stocks (finance and conglomerates)
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/149775
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