SOCIAL NETWORK NEWS SENTIMENTS AND STOCK PRICE MOVEMENT: A CORRELATION ANALYSIS

Authors

  • Anupong Sukprasert Mahasarakham Business School, Mahasarakham University, Mahasarakham, Thailand
  • Kasturi Kanchymalay Universiti Teknikal Malaysia Melaka, Melaka, Malaysia
  • Naomie Salim Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia
  • Atif Khan Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia

DOI:

https://doi.org/10.11113/jt.v77.6565

Keywords:

Stock market, news sentiment, correlation analysis

Abstract

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.

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Published

2015-12-01

How to Cite

Sukprasert, A., Kanchymalay, K., Salim, N., & Khan, A. (2015). SOCIAL NETWORK NEWS SENTIMENTS AND STOCK PRICE MOVEMENT: A CORRELATION ANALYSIS. Jurnal Teknologi, 77(20). https://doi.org/10.11113/jt.v77.6565