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

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Xiao, Kaihang ULiège
Promoteur(s) : Hübner, Georges ULiège
Date de soutenance : 31-aoû-2021/6-sep-2021 • URL permanente : http://hdl.handle.net/2268.2/13603
Détails
Titre : What are the factors that will affect AI companies' market valuation in China?
Auteur : Xiao, Kaihang ULiège
Date de soutenance  : 31-aoû-2021/6-sep-2021
Promoteur(s) : Hübner, Georges ULiège
Membre(s) du jury : Neysen, Nicolas ULiège
Streel, Alexandre ULiège
Langue : Anglais
Nombre de pages : 81
Mots-clés : [en] Artificial Intelligence
[en] Valuation
[en] Chinese stock market
[en] Investment
[en] Factor Analysis
Discipline(s) : Sciences économiques & de gestion > Gestion de l'entreprise & théorie des organisations
Institution(s) : Université de Liège, Liège, Belgique
Diplôme : Master en sciences de gestion
Faculté : Mémoires de la HEC-Ecole de gestion de l'Université de Liège

Résumé

[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.


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

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