From News to Sentiments and Stock Price Directions

Fennee Chong; Bharanidharan Shanmugam

doi:10.1007/978-3-031-40209-8_5

From News to Sentiments and Stock Price Directions

Fennee Chong, Bharanidharan Shanmugam

Information Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

Abstract

Forecasting stock price direction using news sentiment has gained momentum as trading activities are information driven in this digital era. News fuel pessimism or optimism in the investors mindset which are often translated by market sentiment indicators that influence stock price direction. The type of information that affects short-term market reactions are political news, business news and technical indicators. Of late, machine learning technique has become one of the popular approaches being applied in stock market predictions. The merit of this approach in predicting stock price directions using news sentiments as inputs has been confirmed by a case study included in this chapter.

Original language	English
Title of host publication	Theory and Applications of Time Series Analysis
Subtitle of host publication	ITISE 2022: Contributions to Statistics
Editors	Olga Valenzuela, Fernando Rojas, Luis Javier Herrera, Héctor Pomares, Ignacio Rojas
Publisher	Springer, Cham
Pages	59-70
Number of pages	12
ISBN (Print)	978-3-031-40208-1
DOIs	https://doi.org/10.1007/978-3-031-40209-8_5
Publication status	Published - 10 Nov 2023

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10.1007/978-3-031-40209-8_5

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title = "From News to Sentiments and Stock Price Directions",

abstract = "Forecasting stock price direction using news sentiment has gained momentum as trading activities are information driven in this digital era. News fuel pessimism or optimism in the investors mindset which are often translated by market sentiment indicators that influence stock price direction. The type of information that affects short-term market reactions are political news, business news and technical indicators. Of late, machine learning technique has become one of the popular approaches being applied in stock market predictions. The merit of this approach in predicting stock price directions using news sentiments as inputs has been confirmed by a case study included in this chapter.",

author = "Fennee Chong and Bharanidharan Shanmugam",

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editor = "Olga Valenzuela and Fernando Rojas and Herrera, {Luis Javier} and H{\'e}ctor Pomares and Ignacio Rojas",

booktitle = "Theory and Applications of Time Series Analysis",

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From News to Sentiments and Stock Price Directions. / Chong, Fennee; Shanmugam, Bharanidharan.
Theory and Applications of Time Series Analysis: ITISE 2022: Contributions to Statistics. ed. / Olga Valenzuela; Fernando Rojas; Luis Javier Herrera; Héctor Pomares; Ignacio Rojas. Springer, Cham, 2023. p. 59-70.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

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From News to Sentiments and Stock Price Directions

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