The Impact of the Social Media Sentiment Index on S&P 500 Returns

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The Anáhuac Journal
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Published: Jun 26, 2024
DOI: https://doi.org/10.36105/theanahuacjour.2024v24n1.08
Keywords:
Twitter, social media, natural language processing, sentiment analysis, artificial intelligence, news

Main Article Content

Lizeth Gordillo Martínez
EGADE Business School, Tecnológico de Monterrey, Mexico
https://orcid.org/0009-0000-9210-4955

Abstract

The study of the development and analysis of sentiment indexes through social media is a recent technique that has captured interest because it can identify stock price tendencies. Also, using artificial intelligence to quickly analyze large volumes of data from various information sources has created a new way of evaluating massive amounts of information from social media. Natural language processing (NLP) is the preferred method for this research. Originating in the 1950s, NLP emerged at the junction of  artificial intelligence and linguistics. Initially, it was used to retrieve information in text. It uses methods based on statistics to effectively index and search large sections of text.

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How to Cite
Gordillo Martínez, L. (2024). The Impact of the Social Media Sentiment Index on S&P 500 Returns. The Anáhuac Journal, 24(1), Págs. 222–245. https://doi.org/10.36105/theanahuacjour.2024v24n1.08
Issue
Vol. 24 No. 1 (2024): The Anáhuac Journal, Vol. 24, num. 1, 2024, First Semester
Section
Artículos
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

This work is licensed under a Creative Commons Atribución-NoComercial-CompartirIgual 4.0 Internacional.

 

Author Biography

Lizeth Gordillo Martínez, EGADE Business School, Tecnológico de Monterrey, Mexico

Lizeth Gordillo Martínez began her professional career as coordinator for the Center for Technology and Financial Innovation while a BA student in international trade at the Tecnológico de Monterrey, Mexico City Campus. Gordillo Martínez conducted training workshops on databases specializing in finance and technology in various companies such as Bloomberg, Reuters, Economática, SaS, Eviews, and Numerix, and taught financial administration to 14 generations of students at the undergraduate level. Starting in 2008, she worked full-time leading negotiations with clients from the financial sector in the Latin America region at multinational companies with a technological and financial profile like Bloomberg, Thomson Reuters, Numerix, and Identy. Among her professional achievements are the creation of financial labs for private universities with Bloomberg and Reuters terminals, and the implementation of a Thomson Reuters ticker with financial indicators at the Mexican Stock Exchange (BMV) building. Gordillo Martínez secured Grupo Bancolombia as the first client—and first international bank—for Numerix in Latin America. There, she implemented a CVA calculation module for the bank’s treasury. At the same time, she continued with her graduate studies, earning a master’s degree in Finance, and in 2021 she started a PhD in financial sciences.

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