Evidence map›Paper›PMID 33804826›Full record

ArticleEntropy (Basel, Switzerland)2021

Structure of Investor Networks and Financial Crises.

Kęstutis Baltakys, Hung Le Viet, Juho Kanniainen

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Kęstutis BaltakysComputing Sciences, Tampere University, 33720 Tampere, Finland.ORCID 0000-0003-2980-2544
Hung Le VietComputing Sciences, Tampere University, 33720 Tampere, Finland.ORCID 0000-0003-2121-5900
Juho KanniainenComputing Sciences, Tampere University, 33720 Tampere, Finland.ORCID 0000-0001-7737-659X

Funding

H2020 Marie Skłodowska-Curie Actions 796315
6 · The paper itself

Abstract

In this paper, we ask whether the structure of investor networks, estimated using shareholder registration data, is abnormal during a financial crises. We answer this question by analyzing the structure of investor networks through several most prominent global network features. The networks are estimated from data on marketplace transactions of all publicly traded securities executed in the Helsinki Stock Exchange by Finnish stock shareholders between 1995 and 2016. We observe that most of the feature distributions were abnormal during the 2008-2009 financial crisis, with statistical significance. This paper provides evidence that the financial crisis was associated with a structural change in investors' trade time synchronization. This indicates that the way how investors use their private information channels changes depending on the market conditions.

Indexed as

complex networksfinancial crisisinvestor networksnetwork theorynetwork topologystock markets

Identifiers

PMID33804826
PMCPMC8063838

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.