Integrated analysis on property stocks using FA, TA, and NA
Numerous methods are employed by analysts and investors to assess companies and identify profitable stocks. This paper integrates fundamental, technical, and news analysis to pinpoint the best-performing stock. Fundamental analysis incorporates quantitative and qualitative approaches to filter and r...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/176609 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-176609 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1766092024-05-24T15:49:35Z Integrated analysis on property stocks using FA, TA, and NA Liang, Wei Zhi Wong Jia Yiing, Patricia School of Electrical and Electronic Engineering EJYWong@ntu.edu.sg Engineering Data analysis Numerous methods are employed by analysts and investors to assess companies and identify profitable stocks. This paper integrates fundamental, technical, and news analysis to pinpoint the best-performing stock. Fundamental analysis incorporates quantitative and qualitative approaches to filter and rank stocks within the property sector. The technical analysis strategy utilises technical indicators like simple moving averages and the relative strength index to evaluate stock profitability. Two types of testing are conducted using historical price data spanning from 2018 to 2022. Additionally, global news, company news, and dividends are scrutinized in the news analysis to gauge their impacts on stocks. The study concludes that the integrated analytical system is both feasible and effective. Bachelor's degree 2024-05-18T11:50:58Z 2024-05-18T11:50:58Z 2024 Final Year Project (FYP) Liang, W. Z. (2024). Integrated analysis on property stocks using FA, TA, and NA. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176609 https://hdl.handle.net/10356/176609 en A1135-231 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 Data analysis |
spellingShingle |
Engineering Data analysis Liang, Wei Zhi Integrated analysis on property stocks using FA, TA, and NA |
description |
Numerous methods are employed by analysts and investors to assess companies and identify profitable stocks. This paper integrates fundamental, technical, and news analysis to pinpoint the best-performing stock. Fundamental analysis incorporates quantitative and qualitative approaches to filter and rank stocks within the property sector. The technical analysis strategy utilises technical indicators like simple moving averages and the relative strength index to evaluate stock profitability. Two types of testing are conducted using historical price data spanning from 2018 to 2022. Additionally, global news, company news, and dividends are scrutinized in the news analysis to gauge their impacts on stocks. The study concludes that the integrated analytical system is both feasible and effective. |
author2 |
Wong Jia Yiing, Patricia |
author_facet |
Wong Jia Yiing, Patricia Liang, Wei Zhi |
format |
Final Year Project |
author |
Liang, Wei Zhi |
author_sort |
Liang, Wei Zhi |
title |
Integrated analysis on property stocks using FA, TA, and NA |
title_short |
Integrated analysis on property stocks using FA, TA, and NA |
title_full |
Integrated analysis on property stocks using FA, TA, and NA |
title_fullStr |
Integrated analysis on property stocks using FA, TA, and NA |
title_full_unstemmed |
Integrated analysis on property stocks using FA, TA, and NA |
title_sort |
integrated analysis on property stocks using fa, ta, and na |
publisher |
Nanyang Technological University |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/176609 |
_version_ |
1800916326995197952 |