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Dynamics of Investor Spanning Trees Around Dot-Com Bubble

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  • Sindhuja Ranganathan
  • Mikko Kivela
  • Juho Kanniainen

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. We conduct the analysis separately for households, non-financial institutions, and financial institutions. Our results indicate that spanning tree measures for households reflected the boom and crisis: the maximum spanning tree measures had 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 bubble. At the same time, we find less clear reactions in minimal and maximal spanning trees of non-financial and financial institutions around the bubble, which suggest that household investors can have a greater herding tendency around bubbles.

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  • Sindhuja Ranganathan & Mikko Kivela & Juho Kanniainen, 2017. "Dynamics of Investor Spanning Trees Around Dot-Com Bubble," Papers 1708.04430, arXiv.org.
  • Handle: RePEc:arx:papers:1708.04430
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    References listed on IDEAS

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    1. Barrot, Jean-Noel & Kaniel, Ron & Sraer, David, 2016. "Are retail traders compensated for providing liquidity?," Journal of Financial Economics, Elsevier, vol. 120(1), pages 146-168.
    2. Fabrizio Lillo & Salvatore Miccich� & Michele Tumminello & Jyrki Piilo & Rosario N. Mantegna, 2015. "How news affects the trading behaviour of different categories of investors in a financial market," Quantitative Finance, Taylor & Francis Journals, vol. 15(2), pages 213-229, February.
    3. Martin Dufwenberg & Tobias Lindqvist & Evan Moore, 2005. "Bubbles and Experience: An Experiment," American Economic Review, American Economic Association, vol. 95(5), pages 1731-1737, December.
    4. Hoffmann, Arvid O.I. & Post, Thomas & Pennings, Joost M.E., 2013. "Individual investor perceptions and behavior during the financial crisis," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 60-74.
    5. Corgnet, Brice & Kujal, Praveen & Porter, David, 2010. "The effect of reliability, content and timing of public announcements on asset trading behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 76(2), pages 254-266, November.
    6. Jaroslaw Kwapien & Pawel Oswiecimka & Marcin Forczek & Stanislaw Drozdz, 2016. "Minimum spanning tree filtering of correlations for varying time scales and size of fluctuations," Papers 1610.08416, arXiv.org, revised May 2017.
    7. Nicol'o Musmeci & Vincenzo Nicosia & Tomaso Aste & Tiziana Di Matteo & Vito Latora, 2016. "The multiplex dependency structure of financial markets," Papers 1606.04872, arXiv.org.
    8. Dong-Ming Song & Michele Tumminello & Wei-Xing Zhou & Rosario N. Mantegna, 2011. "Evolution of worldwide stock markets, correlation structure and correlation based graphs," Papers 1103.5555, arXiv.org.
    9. Anders Johansen & Didier Sornette, 1999. "Log-periodic power law bubbles in Latin-American and Asian markets and correlated anti-bubbles in Western stock markets: An empirical study," Finance 9907004, University Library of Munich, Germany.
    10. repec:bla:jfinan:v:53:y:1998:i:5:p:1775-1798 is not listed on IDEAS
    11. Oechssler, Jörg & Schmidt, Carsten & Schnedler, Wendelin, 2011. "On the ingredients for bubble formation: Informed traders and communication," Journal of Economic Dynamics and Control, Elsevier, vol. 35(11), pages 1831-1851.
    12. N. Vandewalle & F. Brisbois & X. Tordoir, 2001. "Non-random topology of stock markets," Quantitative Finance, Taylor & Francis Journals, vol. 1(3), pages 372-374, March.
    13. Anders Johansen & Didier Sornette, 2000. "The Nasdaq crash of April 2000: Yet another example of log-periodicity in a speculative bubble ending in a crash," Papers cond-mat/0004263, arXiv.org, revised May 2000.
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