Feedback

HEC-Ecole de gestion de l'Université de Liège
HEC-Ecole de gestion de l'Université de Liège
MASTER THESIS
VIEW 11 | DOWNLOAD 1

What are the factors that will affect AI companies' market valuation in China?

Download
Xiao, Kaihang ULiège
Promotor(s) : Hübner, Georges ULiège
Date of defense : 31-Aug-2021/6-Sep-2021 • Permalink : http://hdl.handle.net/2268.2/13603
Details
Title : What are the factors that will affect AI companies' market valuation in China?
Author : Xiao, Kaihang ULiège
Date of defense  : 31-Aug-2021/6-Sep-2021
Advisor(s) : Hübner, Georges ULiège
Committee's member(s) : Neysen, Nicolas ULiège
Streel, Alexandre ULiège
Language : English
Number of pages : 81
Keywords : [en] Artificial Intelligence
[en] Valuation
[en] Chinese stock market
[en] Investment
[en] Factor Analysis
Discipline(s) : Business & economic sciences > General management & organizational theory
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master en sciences de gestion
Faculty: Master thesis of the HEC-Ecole de gestion de l'Université de Liège

Abstract

[en] Artificial Intelligence (AI), as the next generation of technology to promote productivity change, is not only a product of the laboratory but is also being commercialized and applied all over the world. As one of the fastest-growing major economies, China is rapidly developing in the AI industry and technology, where a large number of companies promote the development of the industry from upstream algorithms to downstream products and are widely involved in the formulation of standards related to AI. These companies have also become popular investment targets for investors. Despite the growing knowledge regarding the investment value of Chinese AI companies, limited research in English demonstrates how to invest in this promising industry. Based on an extant literature review on AI technology and factor analysis, this author used principal component analysis to reduce the dimensionality of the 14 selected indicators, constructed a model to screen the potential AI companies to invest from the AI sector on the Chinese stock market. This author then conducted a panel data regression analysis to study the impact of 4 factors on the valuation of 10 AI companies selected by the PCA model. This work found that institutional ownership and the number of patents released have a significant and positive impact on the valuation of AI companies, while gross profit margin and R&D investment have no significant impact.


File(s)

Document(s)

File
Access s181745KaihangXIAO2021.pdf
Description:
Size: 1.68 MB
Format: Adobe PDF

Author

  • Xiao, Kaihang ULiège Université de Liège > Master sc. gest.

Promotor(s)

Committee's member(s)

  • Total number of views 11
  • Total number of downloads 1










All documents available on MatheO are protected by copyright and subject to the usual rules for fair use.
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.