Losing by learning? A study of social trading platform
Xuejun Jin,
Yu Zhu and
Ying Sophie Huang
Finance Research Letters, 2019, vol. 28, issue C, 171-179
Abstract:
This paper is the first to use a unique dataset extracted from a popular social trading platform in China to investigate whether social learning on average encourages riskier trading and hurt stock portfolio returns. We observe an increasing trading frequency and a preference for high-volatility stocks for signal followers on average in the network over time. Furthermore, we find leading trades perform relatively better than lagging ones, indicating social learning in a social trading network is not positively associated with portfolio performance. Taken together, our empirical results are in support of Han et al. (2018).
Keywords: Social trading; Portfolio management; Risk-taking behavior (search for similar items in EconPapers)
JEL-codes: G11 G41 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1544612318302629
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:28:y:2019:i:c:p:171-179
DOI: 10.1016/j.frl.2018.04.017
Access Statistics for this article
Finance Research Letters is currently edited by R. Gençay
More articles in Finance Research Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().