A NEW SOLVENCY PREDICTION MODEL FOR COMPANIES IN THE REAL ESTATE SECTOR

A NEW SOLVENCY PREDICTION MODEL FOR COMPANIES IN THE REAL ESTATE SECTOR

This study aims to propose a model that estimates insolvency risk for real estate companies through an approach that considers, in addition to the assets' quality, the mismatches between assets and liabilities on time, as well as different risks within the sector. Through Monte Carlo simulation...

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Main Authors: Pablo Pulhese Perim, Danilo Soares Monte-Mor, Marco Aurélio dos Santos Sanfins, Neyla Tardin
Format: Article
Language:English
Published: Universidade Federal do Ceará 2016-10-01
Series:Contextus
Online Access:http://www.periodicos.ufc.br/contextus/article/view/32269
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spelling doaj-3dec224ba23346d58ca773d94a867e762021-02-02T04:16:57ZengUniversidade Federal do CearáContextus1678-20892178-92582016-10-0114214316910.19094/contextus.v14i2.82330781A NEW SOLVENCY PREDICTION MODEL FOR COMPANIES IN THE REAL ESTATE SECTORPablo Pulhese Perim0Danilo Soares Monte-Mor1Marco Aurélio dos Santos Sanfins2Neyla Tardin3Fucape Business SchoolFucape Business SchoolUniversidade Federal Fluminense - UFFFucape Business SchoolThis study aims to propose a model that estimates insolvency risk for real estate companies through an approach that considers, in addition to the assets' quality, the mismatches between assets and liabilities on time, as well as different risks within the sector. Through Monte Carlo simulations and hypothetical examples, we show that the proposed model was able to capture mismatches between assets and liabilities and the effects of changes in the risks of credit, liquidity and engineering. In addition, our results suggest that the absence of a harmonious distribution of assets and liabilities leads to increasing insolvency risks even when the present value of total assets is greater than the present value of total liabilities.http://www.periodicos.ufc.br/contextus/article/view/32269
collection DOAJ
language English
format Article
sources DOAJ
author Pablo Pulhese Perim
Danilo Soares Monte-Mor
Marco Aurélio dos Santos Sanfins
Neyla Tardin
spellingShingle Pablo Pulhese Perim
Danilo Soares Monte-Mor
Marco Aurélio dos Santos Sanfins
Neyla Tardin
A NEW SOLVENCY PREDICTION MODEL FOR COMPANIES IN THE REAL ESTATE SECTOR
Contextus
author_facet Pablo Pulhese Perim
Danilo Soares Monte-Mor
Marco Aurélio dos Santos Sanfins
Neyla Tardin
author_sort Pablo Pulhese Perim
title A NEW SOLVENCY PREDICTION MODEL FOR COMPANIES IN THE REAL ESTATE SECTOR
title_short A NEW SOLVENCY PREDICTION MODEL FOR COMPANIES IN THE REAL ESTATE SECTOR
title_full A NEW SOLVENCY PREDICTION MODEL FOR COMPANIES IN THE REAL ESTATE SECTOR
title_fullStr A NEW SOLVENCY PREDICTION MODEL FOR COMPANIES IN THE REAL ESTATE SECTOR
title_full_unstemmed A NEW SOLVENCY PREDICTION MODEL FOR COMPANIES IN THE REAL ESTATE SECTOR
title_sort new solvency prediction model for companies in the real estate sector
publisher Universidade Federal do Ceará
series Contextus
issn 1678-2089
2178-9258
publishDate 2016-10-01
description This study aims to propose a model that estimates insolvency risk for real estate companies through an approach that considers, in addition to the assets' quality, the mismatches between assets and liabilities on time, as well as different risks within the sector. Through Monte Carlo simulations and hypothetical examples, we show that the proposed model was able to capture mismatches between assets and liabilities and the effects of changes in the risks of credit, liquidity and engineering. In addition, our results suggest that the absence of a harmonious distribution of assets and liabilities leads to increasing insolvency risks even when the present value of total assets is greater than the present value of total liabilities.
url http://www.periodicos.ufc.br/contextus/article/view/32269
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