Dynamics of investor spanning trees around dot-com bubble

Sindhuja Ranganathan, Mikko Kivelä and Juho Kanniainen

PLOS ONE, 2018, vol. 13, issue 6, 1-14

Abstract: We identify temporal investor networks for Nokia stock by constructing networks from correlations between investor-specific net-volumes and analyze changes in the networks around dot-com bubble. The analysis is conducted separately for households, financial, and non-financial institutions. Our results indicate that spanning tree measures for households reflected the boom and crisis: the maximum spanning tree measures had a clear upward tendency in the bull markets when the bubble was building up, and, even more importantly, the minimum spanning tree measures pre-reacted the burst of the bubble. At the same time, we find less clear reactions in the minimal and maximal spanning trees of non-financial and financial institutions around the bubble, which suggests that household investors can have a greater herding tendency around bubbles.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0198807

DOI: 10.1371/journal.pone.0198807

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