Correlation Analysis Between Accounting Information and Daily Twitter’s Happiness Sentiment on Stock Return
- DOI
- 10.2991/978-94-6463-146-3_41How to use a DOI?
- Keywords
- Earning per Share; Online Investor Sentiment; Stock Market; Granger Causality
- Abstract
The main goal of financial reporting is to provide relevant information for estimating business value. This study has two purposes. The first purpose is to analyze the causal relationship between accounting information and stock returns. The second one is to analyze the causal relationship between daily happiness sentiment on twitter and stock returns. The research data was obtained from the financial statements of LQ45 companies throughout the period from 2011 to 2021 and collected daily happiness sentiment data from Twitter at https://hedenometer.org. The analytical technique used in this study is the Granger Causality Analysis technique. The results show that Earnings per Share (EPS) can predict future Stock Return so that EPS as a fundamental factor is still relevant in making investment decisions and Daily Happiness Sentiment on Twitter can be a new proxy in predicting stock returns in the future. This research is important as representative research in developing countries with a new proxy for online investor sentiment.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Rezky Ramadhani AU - Abdul Hamid Habbe AU - R. A. Damayanti PY - 2023 DA - 2023/05/29 TI - Correlation Analysis Between Accounting Information and Daily Twitter’s Happiness Sentiment on Stock Return BT - Proceedings of the 7th International Conference on Accounting, Management and Economics (ICAME-7 2022) PB - Atlantis Press SP - 411 EP - 420 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-146-3_41 DO - 10.2991/978-94-6463-146-3_41 ID - Ramadhani2023 ER -