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Exploring the Association Between Bilibili's Post-IPO Quarterly Stock Price and Multivariate Factors: A Multiple Linear Regression Analysis
- 1 University of Southampton, Southampton, S017 1BJ, UK
- 2 Kingswood Oxford High School, Hartford, 06118, US
* Author to whom correspondence should be addressed.
Abstract
This research delves into the intricate dynamics of stock price movements for Bilibili, a prominent digital platform, post its Initial Public Offering (IPO). Emphasis is placed on evaluating the correlation and predictive power of three main factors, Gross Profit, Advertising Revenue, and Additional Services Revenue, in determining stock prices. Furthermore, the study examines the often-assumed positive relationship between Average Monthly Interactions (AMI) and Gross Profit, questioning the depth and directionality of this relationship. Preliminary findings suggest that while Gross Profit and Advertising Revenue may historically be substantial revenue streams impacting stock prices, revenues from additional services are emerging as significant predictors in the contemporary digital platform valuation landscape. Contrary to conventional belief, high AMI does not always translate to proportional Gross Profit gains. The research presents valuable insights for investors, stakeholders, and digital platform operators, elucidating the multifaceted drivers of stock price movements in the digital age.
Keywords
Bilibili, Post-IPO, Revenue Streams, Multiple Linear Regression Analysis
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Cite this article
Li,Z.;Yi,Z. (2024). Exploring the Association Between Bilibili's Post-IPO Quarterly Stock Price and Multivariate Factors: A Multiple Linear Regression Analysis. Advances in Economics, Management and Political Sciences,89,29-39.
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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 3rd International Conference on Financial Technology and Business Analysis
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