Clusters of investors around Initial Public Offering
Margarita Baltakien\.e,
K\k{e}stutis Baltakys,
Juho Kanniainen,
Dino Pedreschi and
Fabrizio Lillo
Papers from arXiv.org
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.
Date: 2019-05, Revised 2019-11
References: Add references at CitEc
Citations: View citations in EconPapers (4)
Published in Palgrave Commun 5, 129 (2019)
Downloads: (external link)
http://arxiv.org/pdf/1905.13508 Latest version (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:arx:papers:1905.13508
Access Statistics for this paper
More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().