Universiti Teknologi Malaysia Institutional Repository

Extracting stock market news on social network by applying R Programming

Anupong, Sukprasert and Salim, Naomie (2015) Extracting stock market news on social network by applying R Programming. In: The International Journal Of Arts & Sciences (Ijas) International Conference For Technology And Science, 28-31 Oct, 2014, Italy.

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Official URL: https://rome2014.sched.com/

Abstract

This paper aims to present the analysis of stock market trends related to the macroeconomic factors affecting the fluctuation of stock market. The factors include political events, firms? policies, general economic conditions, investors' expectations, institutional investors' choices, movement of other stock markets, and psychology of investors. This study focuses on the macroeconomic factors in the form of news on a social network influencing the stock prices in the stock market. The observed factors have influenced macroeconomics whilst the trends of driving stock prices influenced by those could be upward, downward, or sideways by applying R programming together with R package to attain and analyse the data from the website.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:macroeconomic factors, stock market
Subjects:Q Science > QA Mathematics > QA76 Computer software
Divisions:Computing
ID Code:63433
Deposited By: Widya Wahid
Deposited On:29 May 2017 03:58
Last Modified:29 May 2017 03:58

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