Abstract
The recent studies on social media that link news data to volatility show a Twitter buzz up is typically linked to higher volatility, while a general news media buzz is linked to lower volatility in the following month. This article demonstrates that Google searches influence Apple stock volatility in either on a weekly basis by analyzing the behavior of private and professional investors in relation to Google searches and how this behavior links to Applestock volatility. To this end, this study employs the logic of sales modeling and, thus, contributes to the theoretical construction of the novel "investor joumey model" by mapping Google searches onto investor behavior, which is an under-researched field in the literature. Subsequently, the paper summarizes the main findings in this field and outlines future challenges in this research.
Original language | English |
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Title of host publication | Symposium i anvendt statistik 2022-2 |
Editors | Peter Linde |
Number of pages | 23 |
Place of Publication | Aarhus |
Publisher | SEGES Innovation |
Publication date | 2022 |
Pages | 86-108 |
ISBN (Print) | 9788798937029 |
Publication status | Published - 2022 |
Event | 43. Symposium i Anvendt Statistik - Axelborg, København Duration: 29 Aug 2022 → 31 Aug 2022 Conference number: 43 http://www.statistiksymposium.dk/ |
Conference
Conference | 43. Symposium i Anvendt Statistik |
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Number | 43 |
Location | Axelborg |
City | København |
Period | 29/08/2022 → 31/08/2022 |
Internet address |
Keywords
- Investor behavior
- Google searches
- Stock markets
- Investor sophistication
- Decision making