A preliminary approach to identify the best function that fits the growth of company total assets
Total Assets define companies; it is relevant in determining the size of the companies, ranking them by economic relevance and making predictions about their future. That makes necessary to analyze how companies growth, according to Total Assets, so this research problem focuses on identifying what...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2018
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/22860
- Acceso en línea:
- https://doi.org/10.1109/ICAMCS46079.2018.000-3
https://repository.urosario.edu.co/handle/10336/22860
- Palabra clave:
- Computer science
Computers
Company size
Cross sectional analysis
Financial accounting
Industry classification
Preliminary approach
Research problems
Significance test
Total Assets
Regression analysis
Company size
Financial accounting
Industry classification
Total Assets
- Rights
- License
- http://purl.org/coar/access_right/c_abf2
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A preliminary approach to identify the best function that fits the growth of company total assetsComputer scienceComputersCompany sizeCross sectional analysisFinancial accountingIndustry classificationPreliminary approachResearch problemsSignificance testTotal AssetsRegression analysisCompany sizeFinancial accountingIndustry classificationTotal AssetsTotal Assets define companies; it is relevant in determining the size of the companies, ranking them by economic relevance and making predictions about their future. That makes necessary to analyze how companies growth, according to Total Assets, so this research problem focuses on identifying what the trend in Total Assets growth is across industries and company size categories, to find similarities and differences. Accordingly, the purpose of the study is to analyze the Total Assets company growth finding a function that fits across industries and company size categories. The method is analytical, deductive and empirical; it is a cross-sectional analysis with two industries and four different company sizes, based on Total Assets grouped into the categories of micro, small, medium or big enterprise. Every combination of industry-company size is analyzed to see which function draws the best fit. The functions are: 1) Linear, 2) Logarithmic, 3) Inverse, 4) Quadratic, 5) Cubic, 6) Compound, 7) Power, 8) S, 9) Growth, 10) Exponential, and 11) Logistic. The test consists of a regression analysis. ANOVA significance test and explained variance allow identifying the best function fit. Results show that cubic function gives the best results in all industry-company size combination. Other functions are relevant in some, but not all, combinations of categories. The conclusion is that cubic function provides the best fit to total assets company growth across several industry-company size combinations. However, it requires more in deep analysis and replication of the research in other industries to confirm the results. © 2018 IEEE.Institute of Electrical and Electronics Engineers Inc.20182020-05-25T23:58:25Zinfo:eu-repo/semantics/conferenceObjecthttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_c94fapplication/pdfhttps://doi.org/10.1109/ICAMCS46079.2018.000-3https://repository.urosario.edu.co/handle/10336/22860instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURenghttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85078896350&doi=10.1109%2fICAMCS46079.2018.000-3&partnerID=40&md5=e77378a3d025c6a29780566774fe353ahttp://purl.org/coar/access_right/c_abf2Juárez, Fernandooai:repository.urosario.edu.co:10336/228602022-05-02T07:37:16Z |
dc.title.none.fl_str_mv |
A preliminary approach to identify the best function that fits the growth of company total assets |
title |
A preliminary approach to identify the best function that fits the growth of company total assets |
spellingShingle |
A preliminary approach to identify the best function that fits the growth of company total assets Computer science Computers Company size Cross sectional analysis Financial accounting Industry classification Preliminary approach Research problems Significance test Total Assets Regression analysis Company size Financial accounting Industry classification Total Assets |
title_short |
A preliminary approach to identify the best function that fits the growth of company total assets |
title_full |
A preliminary approach to identify the best function that fits the growth of company total assets |
title_fullStr |
A preliminary approach to identify the best function that fits the growth of company total assets |
title_full_unstemmed |
A preliminary approach to identify the best function that fits the growth of company total assets |
title_sort |
A preliminary approach to identify the best function that fits the growth of company total assets |
dc.subject.none.fl_str_mv |
Computer science Computers Company size Cross sectional analysis Financial accounting Industry classification Preliminary approach Research problems Significance test Total Assets Regression analysis Company size Financial accounting Industry classification Total Assets |
topic |
Computer science Computers Company size Cross sectional analysis Financial accounting Industry classification Preliminary approach Research problems Significance test Total Assets Regression analysis Company size Financial accounting Industry classification Total Assets |
description |
Total Assets define companies; it is relevant in determining the size of the companies, ranking them by economic relevance and making predictions about their future. That makes necessary to analyze how companies growth, according to Total Assets, so this research problem focuses on identifying what the trend in Total Assets growth is across industries and company size categories, to find similarities and differences. Accordingly, the purpose of the study is to analyze the Total Assets company growth finding a function that fits across industries and company size categories. The method is analytical, deductive and empirical; it is a cross-sectional analysis with two industries and four different company sizes, based on Total Assets grouped into the categories of micro, small, medium or big enterprise. Every combination of industry-company size is analyzed to see which function draws the best fit. The functions are: 1) Linear, 2) Logarithmic, 3) Inverse, 4) Quadratic, 5) Cubic, 6) Compound, 7) Power, 8) S, 9) Growth, 10) Exponential, and 11) Logistic. The test consists of a regression analysis. ANOVA significance test and explained variance allow identifying the best function fit. Results show that cubic function gives the best results in all industry-company size combination. Other functions are relevant in some, but not all, combinations of categories. The conclusion is that cubic function provides the best fit to total assets company growth across several industry-company size combinations. However, it requires more in deep analysis and replication of the research in other industries to confirm the results. © 2018 IEEE. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 2020-05-25T23:58:25Z |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_c94f |
dc.identifier.none.fl_str_mv |
https://doi.org/10.1109/ICAMCS46079.2018.000-3 https://repository.urosario.edu.co/handle/10336/22860 |
url |
https://doi.org/10.1109/ICAMCS46079.2018.000-3 https://repository.urosario.edu.co/handle/10336/22860 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078896350&doi=10.1109%2fICAMCS46079.2018.000-3&partnerID=40&md5=e77378a3d025c6a29780566774fe353a |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers Inc. |
publisher.none.fl_str_mv |
Institute of Electrical and Electronics Engineers Inc. |
dc.source.none.fl_str_mv |
instname:Universidad del Rosario reponame:Repositorio Institucional EdocUR |
instname_str |
Universidad del Rosario |
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Universidad del Rosario |
reponame_str |
Repositorio Institucional EdocUR |
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Repositorio Institucional EdocUR |
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1803710428678717440 |