Research on the Influencing Factors and Development of the Metaverse Industry

Lufan Zhang ()
Additional contact information
Lufan Zhang: Qingdao University, School of Computer Science and Technology

A chapter in Proceedings of the 2023 International Conference on Economic Management, Financial Innovation and Public Service (EMFIPS 2023), 2024, pp 227-238 from Springer

Abstract: Abstract Metaverse has been closely watched by outsiders as a hot topic in recent years. In today’s increasingly mature traditional Internet market, the metaverse industry is seen by many Internet practitioners as a brand new track to break the deadlock, and with the added heat, both capital and technology are rapidly pouring into the industry. Therefore, it is particularly important for Internet practitioners to accurately grasp the current state of development of the metaverse and to anticipate its growth prospects in order to gauge the potential of the industry and to develop a market-adapted development policy. In this paper, we conducted a linear regression analysis of the stock prices of companies in the metaverse industry in China and the United States, focusing on the interpretation of the influencing factors using SPSS software, and also used BP neural network to predict the future stock trend, using the stock prices as the entry point to map the development status and future trend of metaverse side-by-side. The experimental results show that the current development status and prospects of the metaverse industry are relatively clear, and it is likely to become the next development direction of the Internet market.

Keywords: Metaverse; US-China Exchange Rate; CPI; P/E Ratio; BP Neural Network (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-441-9_21

Ordering information: This item can be ordered from
http://www.springer.com/9789464634419

DOI: 10.2991/978-94-6463-441-9_21

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().