A Boon or a Bane? An Examination of Social Communication in Social Trading

Jiaying Deng, Mingwen Yang, Matthias Pelster, Yong Tan
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引用次数: 4

Abstract

Social trading is an emerging market in the sharing economy, allowing inexperienced investors (copiers) to automatically follow the trades of experts (leaders) in real time. We use a separable temporal exponential random graph model (STERGM) to analyze the link formation and dissolution of a large social trading network. In contrast to traditional social networks, social trading networks are characterized by a 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 among copier-leader links. Our results show that social communication, financial performance, and demographic factors are important determinants of link formation. However, once a link is formed, copiers mainly focus on financial performance and communication but not on demographic factors. Thus, 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 findings provide important implications for both investors and social trading platforms.
是福还是祸?社会交易中的社会交际研究
社交交易是共享经济中的一个新兴市场,它允许没有经验的投资者(模仿者)自动实时跟踪专家(领导者)的交易。本文利用可分离时间指数随机图模型(STERGM)分析了大型社会交易网络的链接形成和解散。与传统的社交网络相比,社交交易网络的特点是链接的快速分解,从而增加了研究网络分解的重要性。我们研究了社会沟通、财务绩效和人口统计如何影响动态网络演变,并解决了复制-领导者之间存在的依赖关系。我们的研究结果表明,社会沟通、财务绩效和人口因素是联系形成的重要决定因素。然而,一旦建立了联系,模仿者主要关注财务业绩和沟通,而不是人口因素。因此,连接形成和溶解的决定因素是不对称的。不同类型的社会交流,如帖子和评论,对链接的形成和解散有不同的影响。我们的研究结果为投资者和社交交易平台提供了重要的启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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