Zhang, Zhengfa (2024) Information Dissemination on Social Media: The Investment Value of Influencers’ Posts. PhD thesis, University of Leeds.
Abstract
This thesis investigates the influence of social media influencers on consumer sentiment and financial markets using a unique dataset manually collected from Instagram. The study examines the relationship between influencer sentiment and consumer sentiment, demonstrating that influencers’ posts significantly affect consumer sentiment across various demographic groups. It explores whether the opinions of social media influencers convey valuable information to the stock market or merely contribute noise. The findings indicate that influencer sentiment does not have a lasting impact on stock returns or firms’ operating performance, suggesting that their influence is more transient than substantive. This research highlights the importance of understanding the role of social media in information dissemination and its short-term effects on financial markets, contributing to the fields of behavioural finance and digital media studies.
Metadata
Supervisors: | Keasey, Kevin and V. Mascia, Danilo and Lambrinoudakis, Costas |
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Keywords: | Asset Pricing, Financial Market, Innovation Data, Big Data |
Awarding institution: | University of Leeds |
Academic Units: | The University of Leeds > Leeds University Business School |
Depositing User: | Mr Zhengfa Zhang |
Date Deposited: | 04 Feb 2025 10:43 |
Last Modified: | 04 Feb 2025 10:43 |
Open Archives Initiative ID (OAI ID): | oai:etheses.whiterose.ac.uk:36145 |
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