Syndication network associates with specialisation and performance of venture capital firms

IF 2.6 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Qing Yao, Shaodong Ma, Jingru Liang, Kim Christensen, Wang Jing, Ruiqi Li
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引用次数: 1

Abstract

The Chinese venture capital (VC) market is a young and rapidly expanding financial subsector. Gaining a deeper understanding of the investment behaviours of VC firms is crucial for the development of a more sustainable and healthier market and economy. Contrasting evidence supports that either specialisation or diversification helps to achieve a better investment performance. However, the impact of the syndication network is overlooked. Syndication network has a great influence on the propagation of information and trust. By exploiting an authoritative VC dataset of thirty-five-year investment information in China, we construct a joint-investment network of VC firms and analyse the impacts of syndication and diversification on specialisation and investment performance. There is a clear correlation between the syndication network degree and specialisation level of VC firms, which implies that the well-connected VC firms are diversified. More connections generally bring about more information or other resources, and VC firms are more likely to enter a new stage or industry with some new co-investing VC firms when compared to a randomised null model. Moreover, autocorrelation analysis of both specialisation and success rate on the syndication network indicates that feature clustering of similar VC firms is roughly limited to the secondary neighbourhood. When analysing local feature clustering patterns, we discover that, contrary to popular beliefs, there is no apparent successful club of investors. In contrast, investors with low success rates are more likely to cluster. Our discoveries enrich the understanding of VC investment behaviours and can assist policymakers in designing better strategies to promote the development of the VC industry.
与风险投资公司的专业化和业绩相关的辛迪加网络
中国风险投资(VC)市场是一个年轻且快速扩张的金融部门。深入了解风险投资公司的投资行为对于发展更可持续、更健康的市场和经济至关重要。对比证据表明,专业化或多元化有助于实现更好的投资业绩。然而,联合网络的影响却被忽视了。辛迪加网络对信息和信任的传播有很大的影响。通过利用中国35年投资信息的权威风险投资数据集,我们构建了一个风险投资公司的联合投资网络,并分析了联合和多元化对专业化和投资绩效的影响。风险投资公司的联合网络程度与专业化水平之间存在明显的相关性,这意味着关系良好的风险投资公司是多元化的。更多的联系通常会带来更多的信息或其他资源,与随机零模型相比,风险投资公司更有可能与一些新的共同投资风险投资公司进入一个新的阶段或行业。此外,联合网络上专业化和成功率的自相关分析表明,相似风险投资公司的特征聚类大致局限于二级邻域。在分析局部特征聚类模式时,我们发现,与流行的观点相反,没有明显的成功投资者俱乐部。相比之下,成功率较低的投资者更有可能聚集在一起。我们的发现丰富了对风险投资行为的理解,可以帮助决策者设计更好的战略来促进风险投资行业的发展。
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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来源期刊
Journal of Physics Complexity
Journal of Physics Complexity Computer Science-Information Systems
CiteScore
4.30
自引率
11.10%
发文量
45
审稿时长
14 weeks
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