An Experimental Study of Cryptocurrency Market Dynamics
January 17, 2018 Β· Declared Dead Β· π International Conference on Human Factors in Computing Systems
"No code URL or promise found in abstract"
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Authors
Peter M Krafft, NicolΓ‘s Della Penna, Alex Pentland
arXiv ID
1801.05831
Category
cs.CY: Computers & Society
Cross-listed
cs.HC,
cs.SI,
physics.soc-ph
Citations
74
Venue
International Conference on Human Factors in Computing Systems
Last Checked
4 months ago
Abstract
As cryptocurrencies gain popularity and credibility, marketplaces for cryptocurrencies are growing in importance. Understanding the dynamics of these markets can help to assess how viable the cryptocurrnency ecosystem is and how design choices affect market behavior. One existential threat to cryptocurrencies is dramatic fluctuations in traders' willingness to buy or sell. Using a novel experimental methodology, we conducted an online experiment to study how susceptible traders in these markets are to peer influence from trading behavior. We created bots that executed over one hundred thousand trades costing less than a penny each in 217 cryptocurrencies over the course of six months. We find that individual "buy" actions led to short-term increases in subsequent buy-side activity hundreds of times the size of our interventions. From a design perspective, we note that the design choices of the exchange we study may have promoted this and other peer influence effects, which highlights the potential social and economic impact of HCI in the design of digital institutions.
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