Clusters of investors around Initial Public Offering
arXiv:1905.13508 · doi:10.1057/s41599-019-0342-6
Abstract
The complex networks approach has been gaining popularity in analysing investor behaviour and stock markets, but within this approach, initial public offerings (IPO) have barely been explored. We fill this gap in the literature by analysing investor clusters in the first two years after the IPO filing in the Helsinki Stock Exchange by using a statistically validated network method to infer investor links based on the co-occurrences of investors' trade timing for 69 IPO stocks. Our findings show that a rather large part of statistically similar network structures form in different securities and persist in time for mature and IPO companies. We also find evidence of institutional herding.
References in corpus (11)
- Maps of random walks on complex networks reveal community structure
- Statistically validated networks in bipartite complex systems
- Statistically validated network of portfolio overlaps and systemic risk
- Identification of clusters of investors from their real trading activity in a financial market
- How news affect the trading behavior of different categories of investors in a financial market
- Bank-firm credit network in Japan. An analysis of a bipartite network
- Community characterization of heterogeneous complex systems
- Facebook drives behavior of passive households in stock markets
- Multilayer Aggregation with Statistical Validation: Application to Investor Networks
- Dynamics of Investor Spanning Trees Around Dot-Com Bubble
- Patterns of trading profiles at the Nordic Stock Exchange. A correlation-based approach