Cover Image

Social network news sentiments and stock price movement: a correlation analysis

The stock market prediction is one of the most important issues extensively investigated in the existing academic literatures. Researchers have discovered that real-time news has much bearing on the movement of stock prices. Analysts now have to deal with vast amounts of real time, unstructured stre...

Full description

Saved in:
Bibliographic Details
Main Authors: Sukprasert, Anupong, Kanchymalay, Kasturi, Salim, Naomie, Khan, Atif
Format: Article
Language:English
Published: Penerbit UTM Press 2015
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/55529/1/NaomieSalim2015_SocialNetworkNewsSentimentsandStock.pdf
http://eprints.utm.my/id/eprint/55529/
http://dx.doi.org/10.11113/jt.v77.6565
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.55529
record_format eprints
spelling my.utm.555292017-11-01T04:17:06Z http://eprints.utm.my/id/eprint/55529/ Social network news sentiments and stock price movement: a correlation analysis Sukprasert, Anupong Kanchymalay, Kasturi Salim, Naomie Khan, Atif QA75 Electronic computers. Computer science The stock market prediction is one of the most important issues extensively investigated in the existing academic literatures. Researchers have discovered that real-time news has much bearing on the movement of stock prices. Analysts now have to deal with vast amounts of real time, unstructured streaming data due to the advent of electronic and online news sources. This paper aims to investigate the relationship between online news and actual stock price movement. R programming together with R package are applied to capture and analyze the online news data from Yahoo Financial. The data are plotted into graphs to analyze the relationship between the two variables. In addition, to ensure the levels of the relationship, the Pearson’s correlation and Spearman’s Rank are applied to test whether there is a statistical association between these two variables. This initial analysis of dynamic online news based on sentimental words is relatively constructive. Penerbit UTM Press 2015 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/55529/1/NaomieSalim2015_SocialNetworkNewsSentimentsandStock.pdf Sukprasert, Anupong and Kanchymalay, Kasturi and Salim, Naomie and Khan, Atif (2015) Social network news sentiments and stock price movement: a correlation analysis. Jurnal Teknologi, 77 (20). pp. 147-153. ISSN 0127-9696 http://dx.doi.org/10.11113/jt.v77.6565 DOI:10.11113/jt.v77.6565
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Sukprasert, Anupong
Kanchymalay, Kasturi
Salim, Naomie
Khan, Atif
Social network news sentiments and stock price movement: a correlation analysis
description The stock market prediction is one of the most important issues extensively investigated in the existing academic literatures. Researchers have discovered that real-time news has much bearing on the movement of stock prices. Analysts now have to deal with vast amounts of real time, unstructured streaming data due to the advent of electronic and online news sources. This paper aims to investigate the relationship between online news and actual stock price movement. R programming together with R package are applied to capture and analyze the online news data from Yahoo Financial. The data are plotted into graphs to analyze the relationship between the two variables. In addition, to ensure the levels of the relationship, the Pearson’s correlation and Spearman’s Rank are applied to test whether there is a statistical association between these two variables. This initial analysis of dynamic online news based on sentimental words is relatively constructive.
format Article
author Sukprasert, Anupong
Kanchymalay, Kasturi
Salim, Naomie
Khan, Atif
author_facet Sukprasert, Anupong
Kanchymalay, Kasturi
Salim, Naomie
Khan, Atif
author_sort Sukprasert, Anupong
title Social network news sentiments and stock price movement: a correlation analysis
title_short Social network news sentiments and stock price movement: a correlation analysis
title_full Social network news sentiments and stock price movement: a correlation analysis
title_fullStr Social network news sentiments and stock price movement: a correlation analysis
title_full_unstemmed Social network news sentiments and stock price movement: a correlation analysis
title_sort social network news sentiments and stock price movement: a correlation analysis
publisher Penerbit UTM Press
publishDate 2015
url http://eprints.utm.my/id/eprint/55529/1/NaomieSalim2015_SocialNetworkNewsSentimentsandStock.pdf
http://eprints.utm.my/id/eprint/55529/
http://dx.doi.org/10.11113/jt.v77.6565
_version_ 1643653825235517440
score 13.211869

Similar Items