Effects of syndication network on specialisation and performance of venture capital firms

TL;DR

This study investigates how syndication networks influence the specialisation and performance of Chinese venture capital firms, revealing that well-connected firms tend to diversify and that clustering of similar success levels is limited.

Contribution

It provides empirical evidence on the impact of syndication networks on VC firm specialisation and performance, highlighting the limited clustering of similar success levels.

Findings

Well-connected VC firms are more diversified.

Clustering of similar VC firms is limited to secondary neighborhoods.

Low success rate investors tend to cluster together.

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 effects 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 clustering of similar VC firms is roughly limited to the secondary neighbourhood. When analysing local 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.