Dynamics of essential interaction between firms on financial reports.

Companies tend to publish financial reports in order to articulate strategies, disclose key performance measurements as well as summarise the complex relationships with external stakeholders as a result of their business activities. Therefore, any major changes to business models or key relationship...

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Main Authors: Hayato Goto, Eduardo Viegas, Hideki Takayasu, Misako Takayasu, Henrik Jeldtoft Jensen
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0225853
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spelling doaj-4dcd7185579849fea9c4c0e4979a35c32021-03-03T21:20:20ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-011412e022585310.1371/journal.pone.0225853Dynamics of essential interaction between firms on financial reports.Hayato GotoEduardo ViegasHideki TakayasuMisako TakayasuHenrik Jeldtoft JensenCompanies tend to publish financial reports in order to articulate strategies, disclose key performance measurements as well as summarise the complex relationships with external stakeholders as a result of their business activities. Therefore, any major changes to business models or key relationships will be naturally reflected within these documents, albeit in an unstructured manner. In this research, we automatically scan through a large and rich database, containing over 400,000 reports of companies in Japan, in order to generate structured sets of data that capture the essential features, interactions and resulting relationships among these firms. In doing so, we generate a citation type network where we empirically observe that node creation, annihilation and link rewiring to be the dominant processes driving its structure and formation. These processes prompt the network to rapidly evolve, with over a quarter of the interactions between firms being altered within every single calendar year. In order to confirm our empirical observations and to highlight and replicate the essential dynamics of each of the three processes separately, we borrow inspiration from ecosystems and evolutionary theory. Specifically, we construct a network evolutionary model where we adapt and incorporate the concept of fitness within our numerical analysis to be a proxy real measure of a company's importance. By making use of parameters estimated from the real data, we find that our model reliably replicates degree distributions and motif formations of the citation network, and therefore reproducing both macro as well as micro, local level, structural features. This is done with the exception of the real frequency of bidirectional links, which are primarily formed as a result of an entirely separate and distinct process, namely the equity investments from one company into another.https://doi.org/10.1371/journal.pone.0225853
collection DOAJ
language English
format Article
sources DOAJ
author Hayato Goto
Eduardo Viegas
Hideki Takayasu
Misako Takayasu
Henrik Jeldtoft Jensen
spellingShingle Hayato Goto
Eduardo Viegas
Hideki Takayasu
Misako Takayasu
Henrik Jeldtoft Jensen
Dynamics of essential interaction between firms on financial reports.
PLoS ONE
author_facet Hayato Goto
Eduardo Viegas
Hideki Takayasu
Misako Takayasu
Henrik Jeldtoft Jensen
author_sort Hayato Goto
title Dynamics of essential interaction between firms on financial reports.
title_short Dynamics of essential interaction between firms on financial reports.
title_full Dynamics of essential interaction between firms on financial reports.
title_fullStr Dynamics of essential interaction between firms on financial reports.
title_full_unstemmed Dynamics of essential interaction between firms on financial reports.
title_sort dynamics of essential interaction between firms on financial reports.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2019-01-01
description Companies tend to publish financial reports in order to articulate strategies, disclose key performance measurements as well as summarise the complex relationships with external stakeholders as a result of their business activities. Therefore, any major changes to business models or key relationships will be naturally reflected within these documents, albeit in an unstructured manner. In this research, we automatically scan through a large and rich database, containing over 400,000 reports of companies in Japan, in order to generate structured sets of data that capture the essential features, interactions and resulting relationships among these firms. In doing so, we generate a citation type network where we empirically observe that node creation, annihilation and link rewiring to be the dominant processes driving its structure and formation. These processes prompt the network to rapidly evolve, with over a quarter of the interactions between firms being altered within every single calendar year. In order to confirm our empirical observations and to highlight and replicate the essential dynamics of each of the three processes separately, we borrow inspiration from ecosystems and evolutionary theory. Specifically, we construct a network evolutionary model where we adapt and incorporate the concept of fitness within our numerical analysis to be a proxy real measure of a company's importance. By making use of parameters estimated from the real data, we find that our model reliably replicates degree distributions and motif formations of the citation network, and therefore reproducing both macro as well as micro, local level, structural features. This is done with the exception of the real frequency of bidirectional links, which are primarily formed as a result of an entirely separate and distinct process, namely the equity investments from one company into another.
url https://doi.org/10.1371/journal.pone.0225853
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