Cash flow at risk: different estimation methods tested in the Brazilian steel industry

Risk management is a subject that, crisis after crisis, assumes a relevant role in the environment of non-financial companies. Despite the growing importance of the subject, debate about the introduction of a model capable of evaluating the risks to which companies are exposed is still in its infancy...

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Main Authors: Danilo Soares de Medeiros, Leandro Josias Sathler Berbet, Flávia Vital Januzzi, Fernanda Finotti Cordeiro Perobelli
Format: Article
Language:English
Published: Brazilian Society of Finance 2007-12-01
Series:Revista Brasileira de Finanças
Subjects:
Online Access:http://virtualbib.fgv.br/ojs/index.php/rbfin/article/view/1171
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spelling doaj-a7c7a0c442d44143b8eb5ad7c87611032020-11-25T01:43:03ZengBrazilian Society of FinanceRevista Brasileira de Finanças1679-07311984-51462007-12-0152165204Cash flow at risk: different estimation methods tested in the Brazilian steel industryDanilo Soares de MedeirosLeandro Josias Sathler BerbetFlávia Vital JanuzziFernanda Finotti Cordeiro PerobelliRisk management is a subject that, crisis after crisis, assumes a relevant role in the environment of non-financial companies. Despite the growing importance of the subject, debate about the introduction of a model capable of evaluating the risks to which companies are exposed is still in its infancy. Considering this gap and the importance of the theme for companies, this study proposes constructing an empirical cash flow at risk model and applying it to companies in the steel sector in Brazil. We have analyzed two methods of risk factors identification: sector components and company-level components. After such identification, simulations of risk factors future behavior were made using either the historical distribution of each risk factors and residuals of each risk factor time-series model. In addition, a third (and naïve) method was tested: bootstrap of each component of the cashflow. http://virtualbib.fgv.br/ojs/index.php/rbfin/article/view/1171market risks managementnon-financial institutionsBrazilian steel sector
collection DOAJ
language English
format Article
sources DOAJ
author Danilo Soares de Medeiros
Leandro Josias Sathler Berbet
Flávia Vital Januzzi
Fernanda Finotti Cordeiro Perobelli
spellingShingle Danilo Soares de Medeiros
Leandro Josias Sathler Berbet
Flávia Vital Januzzi
Fernanda Finotti Cordeiro Perobelli
Cash flow at risk: different estimation methods tested in the Brazilian steel industry
Revista Brasileira de Finanças
market risks management
non-financial institutions
Brazilian steel sector
author_facet Danilo Soares de Medeiros
Leandro Josias Sathler Berbet
Flávia Vital Januzzi
Fernanda Finotti Cordeiro Perobelli
author_sort Danilo Soares de Medeiros
title Cash flow at risk: different estimation methods tested in the Brazilian steel industry
title_short Cash flow at risk: different estimation methods tested in the Brazilian steel industry
title_full Cash flow at risk: different estimation methods tested in the Brazilian steel industry
title_fullStr Cash flow at risk: different estimation methods tested in the Brazilian steel industry
title_full_unstemmed Cash flow at risk: different estimation methods tested in the Brazilian steel industry
title_sort cash flow at risk: different estimation methods tested in the brazilian steel industry
publisher Brazilian Society of Finance
series Revista Brasileira de Finanças
issn 1679-0731
1984-5146
publishDate 2007-12-01
description Risk management is a subject that, crisis after crisis, assumes a relevant role in the environment of non-financial companies. Despite the growing importance of the subject, debate about the introduction of a model capable of evaluating the risks to which companies are exposed is still in its infancy. Considering this gap and the importance of the theme for companies, this study proposes constructing an empirical cash flow at risk model and applying it to companies in the steel sector in Brazil. We have analyzed two methods of risk factors identification: sector components and company-level components. After such identification, simulations of risk factors future behavior were made using either the historical distribution of each risk factors and residuals of each risk factor time-series model. In addition, a third (and naïve) method was tested: bootstrap of each component of the cashflow.
topic market risks management
non-financial institutions
Brazilian steel sector
url http://virtualbib.fgv.br/ojs/index.php/rbfin/article/view/1171
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AT flaviavitaljanuzzi cashflowatriskdifferentestimationmethodstestedinthebraziliansteelindustry
AT fernandafinotticordeiroperobelli cashflowatriskdifferentestimationmethodstestedinthebraziliansteelindustry
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