Can Mobile App Usage Help Predict Firm-Level Stock Returns?
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | International Conference on Information Systems 2019 Proceedings |
| Publisher | Association for Information Systems |
| ISBN (Electronic) | 9780996683197 |
| Publication status | Published - Dec 2019 |
Publication series
| Name | International Conference on Information Systems, ICIS |
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Conference
| Title | 40th International Conference on Information Systems (ICIS 2019) |
|---|---|
| Location | Internationales Congress Center München (ICM) |
| Place | Germany |
| City | Munich |
| Period | 15 - 18 December 2019 |
Link(s)
| Document Link | Links
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|---|---|
| Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85114902378&origin=recordpage |
| Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(53f316be-c4c5-40f3-88a9-25d66a443c81).html |
Abstract
Mobile app market is one of the fast-growing segments of the mobile industry. With the increasing app users, mobile app market provides a new source of information that could potentially help predict a firm's future financial performance. This paper investigates the relationship between mobile app usage and future stock returns. We utilize a panel data set of 326 public firms that have released mobile apps on the Apple iOS App Store or Google Play Store. Our results show that monthly abnormal app downloads and abnormal daily users are positively associated with the next-month abnormal stock returns, suggesting that mobile app usage can help predict firm-level future stock returns. The findings are robust to the inclusion of different sets of controls. Collectively, this study provides new insights for investors with respect to the predictive value of mobile app usage data.
Research Area(s)
- Abnormal return, App daily users, App downloads, Mobile app usage, Stock return predictability
Bibliographic Note
Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).
Citation Format(s)
Can Mobile App Usage Help Predict Firm-Level Stock Returns? / Yuan, Ziqing; Chen, Hailiang.
International Conference on Information Systems 2019 Proceedings. Association for Information Systems, 2019. (International Conference on Information Systems, ICIS).Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
