Social Trading, Communication, and Networks
Jiaying Deng (),
Mingwen Yang (),
Matthias Pelster () and
Yong Tan ()
Additional contact information
Jiaying Deng: Gabelli School of Business, Fordham University, New York, New York 10023
Mingwen Yang: Michael G. Foster School of Business, University of Washington, Seattle, Washington 98195
Matthias Pelster: Mercator School of Management, University of Duisburg–Essen and European Center for Financial Services (ECFS), 47057 Duisburg, Germany
Yong Tan: Michael G. Foster School of Business, University of Washington, Seattle, Washington 98195
Information Systems Research, 2024, vol. 35, issue 4, 1546-1564
Abstract:
Social trading is an emerging market in the sharing economy, allowing inexperienced investors (followers) to automatically follow the trades of experts (leaders) in real time. We use a separable temporal exponential random graph model to analyze the formation and dissolution of links in a large social trading network. In contrast to traditional social networks, social trading networks are characterized by the rapid dissolution of links, thereby increasing the importance of studying network dissolution. We investigate how social communication, along with financial performance and demographics, affects dynamic network evolution and address the existing dependence in the leader-follower links. The determinants of link formation and dissolution are asymmetric. Different types of social communication, such as posts and comments, have different implications for link formation and dissolution. Our results show that financial performance and demographic characteristics also become important determinants of link formation. However, once a link is formed, followers focus mainly on financial performance, in addition to social communication, and not on demographic characteristics. Thus, our findings have important implications for both investors and social trading platforms.
Keywords: social trading; copy trading; social communication; network dynamics (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://dx.doi.org/10.1287/isre.2021.0143 (application/pdf)
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:inm:orisre:v:35:y:2024:i:4:p:1546-1564
Access Statistics for this article
More articles in Information Systems Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().