Title
Internet-Facilitated Feedback Trading
Abstract
The ease of Internet trading has lured relatively inexperienced investors into the financial markets. We study the impact of the influx of these uninformed traders in a dynamic setting. Our results show that these strategic uninformed online traders who adopt feedback strategies do not outperform noise traders and feedback trading does not affect market volatility. An insider's equilibrium strategy and expected profit remain the same as if the feedback traders were noise traders. On the individual level, feedback traders earn higher risk-adjusted expected profits than noise traders. The presence of feedback trading in the market changes market depth, but the speed at which information gets incorporated into prices is constant.
Year
DOI
Venue
2011
10.1109/HICSS.2011.250
HICSS
Keywords
Field
DocType
security,risk management,pricing,noise,internet,financial market,profitability,electronic commerce,negative feedback
Trading turret,Computer science,Knowledge management,Trend following,Insider,Monetary economics,Market depth,Financial market,Finance,Volatility (finance),Algorithmic trading,Profit (economics)
Conference
Volume
Issue
Citations 
null
null
0
PageRank 
References 
Authors
0.34
5
2
Name
Order
Citations
PageRank
Xiaoquan (Michael) Zhang110823.28
Lihong Zhang201.01