Applying Chaid to Identify the Accounting-Financial Characteristics of the Most Profitable Real Estate Companies in Spain
Descripción del Articulo
The aim of this study is the determination, from an empirical perspective, of the accounting and financial features which could condition financial profitability of real estate companies, to identify the performances that guarantee its permanency in the current marketplace, characterized by the worl...
Autores: | , |
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Formato: | artículo |
Fecha de Publicación: | 2010 |
Institución: | Universidad ESAN |
Repositorio: | Revistas - Universidad ESAN |
Lenguaje: | inglés |
OAI Identifier: | oai:ojs.pkp.sfu.ca:article/269 |
Enlace del recurso: | https://revistas.esan.edu.pe/index.php/jefas/article/view/269 |
Nivel de acceso: | acceso abierto |
Materia: | CHAID financial profitability classification trees accounting ratios Spain |
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Applying Chaid to Identify the Accounting-Financial Characteristics of the Most Profitable Real Estate Companies in SpainRayo, Salvador Cortes , Antonio M. CHAIDfinancial profitabilityclassification treesaccounting ratiosSpainThe aim of this study is the determination, from an empirical perspective, of the accounting and financial features which could condition financial profitability of real estate companies, to identify the performances that guarantee its permanency in the current marketplace, characterized by the world economic crisis, specially in Spain, whose housing sector represents an important contributor to the economic growth. Although at a theoretical level the DuPont Model establishes the relationships between a group of accounting ratios and financial profitability. This paper uses a sample of 5,484 Spanish real estate companies to quantify these relationships and to extract the most relevant ones and to obtain the patterns of the most profitable companies. We use ROE to measure profitability and we analyze various independent variables about solvency, liquidity, activity, turnover, financial equilibrium and investment structure. The main contribution is of methodological nature, as we have applied statistics tools that do not require initial hypotheses on the distribution of the variables, by using a data mining technique of classification and regression tree based on rule induction algorithms known as CHAID. The study provides quantitatively success profiles by means of a set of rules describing the patterns of the most profitable companies.Universidad ESAN2010-12-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed Articleapplication/pdfhttps://revistas.esan.edu.pe/index.php/jefas/article/view/269Journal of Economics, Finance and Administrative Science; Vol. 15 No. 29 (2010): July - December; 51-71Journal of Economics, Finance and Administrative Science; Vol. 15 Núm. 29 (2010): July - December; 51-712218-06482077-1886reponame:Revistas - Universidad ESANinstname:Universidad ESANinstacron:ESANenghttps://revistas.esan.edu.pe/index.php/jefas/article/view/269/157Copyright (c) 2010 Journal of Economics, Finance and Administrative Sciencehttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:ojs.pkp.sfu.ca:article/2692021-09-15T03:25:57Z |
dc.title.none.fl_str_mv |
Applying Chaid to Identify the Accounting-Financial Characteristics of the Most Profitable Real Estate Companies in Spain |
title |
Applying Chaid to Identify the Accounting-Financial Characteristics of the Most Profitable Real Estate Companies in Spain |
spellingShingle |
Applying Chaid to Identify the Accounting-Financial Characteristics of the Most Profitable Real Estate Companies in Spain Rayo, Salvador CHAID financial profitability classification trees accounting ratios Spain |
title_short |
Applying Chaid to Identify the Accounting-Financial Characteristics of the Most Profitable Real Estate Companies in Spain |
title_full |
Applying Chaid to Identify the Accounting-Financial Characteristics of the Most Profitable Real Estate Companies in Spain |
title_fullStr |
Applying Chaid to Identify the Accounting-Financial Characteristics of the Most Profitable Real Estate Companies in Spain |
title_full_unstemmed |
Applying Chaid to Identify the Accounting-Financial Characteristics of the Most Profitable Real Estate Companies in Spain |
title_sort |
Applying Chaid to Identify the Accounting-Financial Characteristics of the Most Profitable Real Estate Companies in Spain |
dc.creator.none.fl_str_mv |
Rayo, Salvador Cortes , Antonio M. |
author |
Rayo, Salvador |
author_facet |
Rayo, Salvador Cortes , Antonio M. |
author_role |
author |
author2 |
Cortes , Antonio M. |
author2_role |
author |
dc.subject.none.fl_str_mv |
CHAID financial profitability classification trees accounting ratios Spain |
topic |
CHAID financial profitability classification trees accounting ratios Spain |
description |
The aim of this study is the determination, from an empirical perspective, of the accounting and financial features which could condition financial profitability of real estate companies, to identify the performances that guarantee its permanency in the current marketplace, characterized by the world economic crisis, specially in Spain, whose housing sector represents an important contributor to the economic growth. Although at a theoretical level the DuPont Model establishes the relationships between a group of accounting ratios and financial profitability. This paper uses a sample of 5,484 Spanish real estate companies to quantify these relationships and to extract the most relevant ones and to obtain the patterns of the most profitable companies. We use ROE to measure profitability and we analyze various independent variables about solvency, liquidity, activity, turnover, financial equilibrium and investment structure. The main contribution is of methodological nature, as we have applied statistics tools that do not require initial hypotheses on the distribution of the variables, by using a data mining technique of classification and regression tree based on rule induction algorithms known as CHAID. The study provides quantitatively success profiles by means of a set of rules describing the patterns of the most profitable companies. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-12-30 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://revistas.esan.edu.pe/index.php/jefas/article/view/269 |
url |
https://revistas.esan.edu.pe/index.php/jefas/article/view/269 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.esan.edu.pe/index.php/jefas/article/view/269/157 |
dc.rights.none.fl_str_mv |
Copyright (c) 2010 Journal of Economics, Finance and Administrative Science https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2010 Journal of Economics, Finance and Administrative Science https://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidad ESAN |
publisher.none.fl_str_mv |
Universidad ESAN |
dc.source.none.fl_str_mv |
Journal of Economics, Finance and Administrative Science; Vol. 15 No. 29 (2010): July - December; 51-71 Journal of Economics, Finance and Administrative Science; Vol. 15 Núm. 29 (2010): July - December; 51-71 2218-0648 2077-1886 reponame:Revistas - Universidad ESAN instname:Universidad ESAN instacron:ESAN |
instname_str |
Universidad ESAN |
instacron_str |
ESAN |
institution |
ESAN |
reponame_str |
Revistas - Universidad ESAN |
collection |
Revistas - Universidad ESAN |
repository.name.fl_str_mv |
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repository.mail.fl_str_mv |
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1842439110576308224 |
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12.873224 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).