Dynamics of investor spanning trees around dot-com bubble.
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 resul...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2018-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0198807 |
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| _version_ | 1850230705155473408 |
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| author | Sindhuja Ranganathan Mikko Kivelä Juho Kanniainen |
| author_facet | Sindhuja Ranganathan Mikko Kivelä Juho Kanniainen |
| author_sort | Sindhuja Ranganathan |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0c4cd1aedd3a42928c70033f16f608ed |
| institution | OA Journals |
| issn | 1932-6203 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-0c4cd1aedd3a42928c70033f16f608ed2025-08-20T02:03:47ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01136e019880710.1371/journal.pone.0198807Dynamics of investor spanning trees around dot-com bubble.Sindhuja RanganathanMikko KiveläJuho KanniainenWe 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.https://doi.org/10.1371/journal.pone.0198807 |
| spellingShingle | Sindhuja Ranganathan Mikko Kivelä Juho Kanniainen Dynamics of investor spanning trees around dot-com bubble. PLoS ONE |
| title | Dynamics of investor spanning trees around dot-com bubble. |
| title_full | Dynamics of investor spanning trees around dot-com bubble. |
| title_fullStr | Dynamics of investor spanning trees around dot-com bubble. |
| title_full_unstemmed | Dynamics of investor spanning trees around dot-com bubble. |
| title_short | Dynamics of investor spanning trees around dot-com bubble. |
| title_sort | dynamics of investor spanning trees around dot com bubble |
| url | https://doi.org/10.1371/journal.pone.0198807 |
| work_keys_str_mv | AT sindhujaranganathan dynamicsofinvestorspanningtreesarounddotcombubble AT mikkokivela dynamicsofinvestorspanningtreesarounddotcombubble AT juhokanniainen dynamicsofinvestorspanningtreesarounddotcombubble |