Proceedings of the 2022 3rd International Conference on E-commerce and Internet Technology (ECIT 2022)

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Predicting Financial Market Risk with Text Analytics: The Role of Intelligence and Readability

Authors
Tong Wu1, Hao Liu1, Liangbo Zhang2, Ge Zhan3, *
1Department of Business and Management, Beijing Normal University-Hong Kong Baptist University (BNU - HKBU United International College), 2000 Jintong Road, Zhuhai, Guangdong, China
2School of Economics and Management, Harbin Institute of Technology (Shenzhen), Shenzhen, China
3AI Analytics Lab, Beijing Normal University-Hong Kong Baptist University (BNU - HKBU United International College), Zhuhai, China
*Corresponding author. Email: garygezhan@uic.edu.cn
Corresponding Author
Ge Zhan
Available Online 10 November 2022.
DOI
10.2991/978-94-6463-005-3_59How to use a DOI?
Keywords
Text mining; digitalization; intelligence; readability; stock market
Abstract

Due to the impact of the COVID-19, the global financial market suffered serious losses since 2020. Digital transformation can not only help listed firms recover from the pandemic, but may also boost the total amount of consumption and sales both in online and offline settings. The purpose of this study is to develop a new model on the effect of digitalization (three components: intelligence, platform and information) on financial performance of listed firms. We seek to identify the drivers of firm market risk by drawing from annual-report text data. The text data together with financial data of tourism firms were analyzed with text mining and Python. This will help tourism companies to understand in a more intuitive way that the benefits of digital technology for the tourism industry and how to use digital technology protecting firms from financial market risks during challenging crisis.

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.

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Volume Title
Proceedings of the 2022 3rd International Conference on E-commerce and Internet Technology (ECIT 2022)
Series
Atlantis Highlights in Engineering
Publication Date
10 November 2022
ISBN
978-94-6463-005-3
ISSN
2589-4943
DOI
10.2991/978-94-6463-005-3_59How to use a DOI?
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

risenwbib
TY  - CONF
AU  - Tong Wu
AU  - Hao Liu
AU  - Liangbo Zhang
AU  - Ge Zhan
PY  - 2022
DA  - 2022/11/10
TI  - Predicting Financial Market Risk with Text Analytics: The Role of Intelligence and Readability
BT  - Proceedings of the 2022 3rd International Conference on E-commerce and Internet Technology (ECIT 2022)
PB  - Atlantis Press
SP  - 585
EP  - 592
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-005-3_59
DO  - 10.2991/978-94-6463-005-3_59
ID  - Wu2022
ER  -