Impact of News Sentiment Analysis on Market Price Movement During the Dividend Period
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2018-10-02 https://doi.org/10.14419/ijet.v7i4.11.20795
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Stock Market, News Sentiment Analysis, Dividend, Bursa Malaysia. -
Abstract
This study presents development of a system for analysing the polarity of stock market news to guide traders in making better decision when buying, selling or holding stocks during the dividend period. It will also help traders by reducing the risk of making inaccurate decision in trading. Trusted and reliable data such as dividend news, daily share market price, company news and announcements from Bursa Malaysia and The Edge Market will be used for performing news sentiment analysis using Azure Text Analytics. The results show that company news and announcements do not have significant effect on the Malaysia stock prices as the prices move within the range of 0-1%, which is the benchmark of the normal range of daily price movement.
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References
[1] Investopedia. Dividend payment procedures. 2017, https://www.investopedia.com/exam-guide/cfa-level-1/corporate-finance/dividend-payment-procedures.asp.
[2] Feuerriegel S, Neumann D. Evaluation of news-based trading strategies. Lecture Notes in Business Information Processing Enterprise Applications and Services in the Finance Industry, 2015, pp. 13-28.
[3] Yusof Y. Ismail S. Determinants of dividend policy of public listed companies in Malaysia. Review of International Business and Strategy, 2016, 26(1):88-99.
[4] Suwanna T. Impact of dividend announcement on stock return. Proceedings of the International (Spring) Conference on Asia Pacific Business Innovation and Technology Management, 2012, pp. 721-725.
[5] Naren J, Sangavi R, Revathy S, Srimathi V. News analytics and dual sentiment analysis for stock market prediction. Proceedings of the 2nd International Conference on Inventive Computation Technologies, 2017, pp. 132-137.
[6] Liang-Chih Y, Jheh-Long W, Pei-Chann C, Hsuan-Shou C. Using a contextual entropy model to expand emotion words and their intensity for the sentiment classification of stock market news. Knowledge-Based Systems, 2013, 41:89-97.
[7] Pagolu V, Challa K, Panda G, Majhi B. Sentiment analysis of Twitter data for predicting stock market movements. Proceedings of the IEEE International Conference on Signal Processing, Communication, Power and Embedded System, 2016, pp. 1345-1350.
[8] Li X, Xie H, Chen L, Wang J, Deng X. News impact on stock price return via sentiment analysis. Knowledge-Based Systems, 2014, 69:14-23.
[9] Hu M, Liu B. Mining and summarizing customer reviews. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004, pp. 168-177.
[10] Siah KW, Myers PD. Stock market prediction through technical and public sentiment analysis. 2015. http://kienwei.mit.edu/sites/default/files/images/stock-market-prediction.pdf.
[11] Li H, Pan SJ, Jin O, Yang Q, Zhu X. Cross-domain co-extraction of sentiment and topic lexicons. Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, 2012, pp. 410-419.
[12] He Y, Lim C, Alani H. Automatically extracting polarity-bearing topics for cross domain sentiment classification. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies. 2011, pp. 123-131.
[13] Parsehub. Leveraging data scraping for commercial due diligence. 2016, https://www.parsehub.com/blog/leveraging-data-scraping-for-commercial-due-diligence/.
[14] Folger J. Stock-picking strategies: Fundamental analysis. 2018, https://www.investopedia.com/university/stockpicking/stockpicking1.asp.
[15] Steen H, Ericson G, Wells J. How to detect sentiment analysis in text analytics. 2017, https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-sentiment-analysis.
[16] StockSnips. Stock news sentiment vs stock price. 2017, https://stocksnips.net/materials/stock-news-sentiment-vs-stock-price/.
Mokhtar SH, Nassir AM, Hassan T. Detecting rational speculative bubbles in the Malaysian stock market. International Research Journal of Finance and Economics, 2006, 6:102-115.
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How to Cite
L. Hor, W., X. Goh, W., & H. Ow, S. (2018). Impact of News Sentiment Analysis on Market Price Movement During the Dividend Period. International Journal of Engineering & Technology, 7(4.11), 168-173. https://doi.org/10.14419/ijet.v7i4.11.20795Received date: 2018-10-02
Accepted date: 2018-10-02
Published date: 2018-10-02