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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Penerbit UTM Press
2015
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| Online Access: | http://eprints.utm.my/55529/1/NaomieSalim2015_SocialNetworkNewsSentimentsandStock.pdf |
| _version_ | 1796860169992273920 |
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| author | Sukprasert, Anupong Kanchymalay, Kasturi Salim, Naomie Khan, Atif |
| author_facet | Sukprasert, Anupong Kanchymalay, Kasturi Salim, Naomie Khan, Atif |
| author_sort | Sukprasert, Anupong |
| collection | ePrints |
| 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. |
| first_indexed | 2024-03-05T19:37:56Z |
| format | Article |
| id | utm.eprints-55529 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T19:37:56Z |
| publishDate | 2015 |
| publisher | Penerbit UTM Press |
| record_format | dspace |
| spelling | utm.eprints-555292017-11-01T04:17:06Z http://eprints.utm.my/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/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 |
| 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 |
| title | 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_short | Social network news sentiments and stock price movement: a correlation analysis |
| title_sort | social network news sentiments and stock price movement a correlation analysis |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/55529/1/NaomieSalim2015_SocialNetworkNewsSentimentsandStock.pdf |
| work_keys_str_mv | AT sukprasertanupong socialnetworknewssentimentsandstockpricemovementacorrelationanalysis AT kanchymalaykasturi socialnetworknewssentimentsandstockpricemovementacorrelationanalysis AT salimnaomie socialnetworknewssentimentsandstockpricemovementacorrelationanalysis AT khanatif socialnetworknewssentimentsandstockpricemovementacorrelationanalysis |