Abstract
The cryptocurrency market is constantly growing, both in value and in the number of participants. While the technology and the market are maturing, the determinants that may help better predict future price movements are not fully understood and at times contradictory. This paper fills this gap by conducting a literature review that focuses on online and social media indicators to predict cryptocurrency prices. We find that the suitability of indicators varies between social networks and between different types of cryptocurrencies. The evidence suggests that online investor sentiment and attention, as well as financial market activity at large, appear to correlate with price changes and improve prediction results to some extent.
| Original language | English |
|---|---|
| Title of host publication | Pacific Asia Conference on Information Systems, PACIS 2022 |
| Publisher | The Association for Information Systems (AIS) |
| Publication date | 2022 |
| Article number | 1860 |
| ISBN (Print) | 9781958200018 |
| Publication status | Published - 2022 |
| Externally published | Yes |
| Event | 26th Pacific Asia Conference on Information Systems, PACIS 2022 - Virtual, Online Duration: 05.07.2022 → 09.07.2022 Conference number: 26 https://aisel.aisnet.org/pacis2022/ |
Bibliographical note
Publisher Copyright:© 2022, Association for Information Systems. All rights reserved.
Research areas and keywords
- Cryptocurrency
- Literature Review
- Price prediction
- Social Media
ASJC Scopus Subject Areas
- Management Information Systems
- Management of Technology and Innovation
- Library and Information Sciences
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