Avaliação da viabilidade de implementação de política de hedge de preços em empresas de mineração utilizando simulação de Monte Carlo
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional do FGV (FGV Repositório Digital) |
Texto Completo: | https://hdl.handle.net/10438/24121 |
Resumo: | The volatility of the market price of their products is one of the biggest sources of variability for the mining sector. Therefore, reducing or elimination this factor, significantly changes their risk profile. This dissertation discusses the potential benefit for mining companies of adopting a price hedge policy. Having a price hedge will be positive when prices go down and especially important when they reach stress levels. Consequently, a traditional deterministic approach, where the model inputs are fixed, would not support an appropriate analysis. As an alternative, with Monte Carlo simulation, it is possible to evaluate a wider range of possible outcomes and asses tail risk into the analysis. Therefore, this method was chosen to compare the economic results of a company under two different scenarios: when they allow their prices to fluctuate according to the market and under a fixed prices policy. A greenfield copper mine project was chosen to represent the operational and financial complexity of the sector. The interaction between financial leverage, company default risk, cost of debt and cash flow volatility is a key factor to determine whether it would be profitable to adopt a price hedge policy. The results show that, under certain circumstances, it is possible to create economical value by fixing their prices. Those factors are: lower direct costs, lower volatility of production and costs, higher commodities prices. |
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Werneck, Fernando VieiraEscolas::EPGEFGVBragança, Gabriel Godofredo Fiuza deSimonsen, Axel AndréPessoa, Marcelo de Sales2018-06-15T20:08:05Z2018-06-15T20:08:05Z2018-04-04https://hdl.handle.net/10438/24121The volatility of the market price of their products is one of the biggest sources of variability for the mining sector. Therefore, reducing or elimination this factor, significantly changes their risk profile. This dissertation discusses the potential benefit for mining companies of adopting a price hedge policy. Having a price hedge will be positive when prices go down and especially important when they reach stress levels. Consequently, a traditional deterministic approach, where the model inputs are fixed, would not support an appropriate analysis. As an alternative, with Monte Carlo simulation, it is possible to evaluate a wider range of possible outcomes and asses tail risk into the analysis. Therefore, this method was chosen to compare the economic results of a company under two different scenarios: when they allow their prices to fluctuate according to the market and under a fixed prices policy. A greenfield copper mine project was chosen to represent the operational and financial complexity of the sector. The interaction between financial leverage, company default risk, cost of debt and cash flow volatility is a key factor to determine whether it would be profitable to adopt a price hedge policy. The results show that, under certain circumstances, it is possible to create economical value by fixing their prices. Those factors are: lower direct costs, lower volatility of production and costs, higher commodities prices.A volatilidade do preço de mercado de seus produtos é uma das maiores fontes de variabilidade no setor de mineração. Assim, reduzir ou eliminar esse fator altera de maneira significativa seu perfil de risco. Esta dissertação discute o benefício potencial para empresas de mineração em adotar uma política de hedge. Ter os preços fixados será positivo quando o mercado está em baixa e especialmente importante quando o mercado está passando por algum stress. Deste modo, uma abordagem determinística tradicional, na qual os componentes do modelo são fixos, não permitiria uma análise apropriada. Alternativamente, com a simulação de Monte Carlo, é possível avaliar um conjunto mais amplo de resultados e incorporar os riscos de cauda na análise. Assim, este método foi escolhido para realizar a comparação dos resultados econômicos de uma companhia em dois cenários diferentes: quando ela deixa os preços flutuarem seguindo o mercado e sob uma política de fixação de preços. Um projeto de uma nova mina de cobre foi escolhido para representar a complexidade operacional e financeira do setor. A interação entre alavancagem financeira, risco de calote, custo da dívida e volatilidade do fluxo de caixa é um fator chave para determinar se seria positivo adotar uma política de hedge. Os resultados mostram que, sob certas circunstâncias, é possível criar valor econômico ao fixar seus preços. A saber: menor custo direto, menor volatilidade da produção e das despesas e maior volatilidade do preço das commodities.porHedgeMiningMonte Carlo SimulationMineraçãoSimulação de Monte CarloEconomiaHedging (Finanças)Monte Carlo, Método deAvaliação da viabilidade de implementação de política de hedge de preços em empresas de mineração utilizando simulação de Monte Carloinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVTEXTDissertacao_Fernando Werneck_v final.pdf.txtDissertacao_Fernando Werneck_v final.pdf.txtExtracted texttext/plain133885https://repositorio.fgv.br/bitstreams/c377e67c-4b0d-4410-8d83-622ca7827e94/download2f9010bace415b6d13aa7d754bb9e0ffMD54ORIGINALDissertacao_Fernando Werneck_v final.pdfDissertacao_Fernando Werneck_v 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|
dc.title.por.fl_str_mv |
Avaliação da viabilidade de implementação de política de hedge de preços em empresas de mineração utilizando simulação de Monte Carlo |
title |
Avaliação da viabilidade de implementação de política de hedge de preços em empresas de mineração utilizando simulação de Monte Carlo |
spellingShingle |
Avaliação da viabilidade de implementação de política de hedge de preços em empresas de mineração utilizando simulação de Monte Carlo Werneck, Fernando Vieira Hedge Mining Monte Carlo Simulation Mineração Simulação de Monte Carlo Economia Hedging (Finanças) Monte Carlo, Método de |
title_short |
Avaliação da viabilidade de implementação de política de hedge de preços em empresas de mineração utilizando simulação de Monte Carlo |
title_full |
Avaliação da viabilidade de implementação de política de hedge de preços em empresas de mineração utilizando simulação de Monte Carlo |
title_fullStr |
Avaliação da viabilidade de implementação de política de hedge de preços em empresas de mineração utilizando simulação de Monte Carlo |
title_full_unstemmed |
Avaliação da viabilidade de implementação de política de hedge de preços em empresas de mineração utilizando simulação de Monte Carlo |
title_sort |
Avaliação da viabilidade de implementação de política de hedge de preços em empresas de mineração utilizando simulação de Monte Carlo |
author |
Werneck, Fernando Vieira |
author_facet |
Werneck, Fernando Vieira |
author_role |
author |
dc.contributor.unidadefgv.por.fl_str_mv |
Escolas::EPGE |
dc.contributor.affiliation.none.fl_str_mv |
FGV |
dc.contributor.member.none.fl_str_mv |
Bragança, Gabriel Godofredo Fiuza de Simonsen, Axel André |
dc.contributor.author.fl_str_mv |
Werneck, Fernando Vieira |
dc.contributor.advisor1.fl_str_mv |
Pessoa, Marcelo de Sales |
contributor_str_mv |
Pessoa, Marcelo de Sales |
dc.subject.eng.fl_str_mv |
Hedge Mining Monte Carlo Simulation |
topic |
Hedge Mining Monte Carlo Simulation Mineração Simulação de Monte Carlo Economia Hedging (Finanças) Monte Carlo, Método de |
dc.subject.por.fl_str_mv |
Mineração Simulação de Monte Carlo |
dc.subject.area.por.fl_str_mv |
Economia |
dc.subject.bibliodata.por.fl_str_mv |
Hedging (Finanças) Monte Carlo, Método de |
description |
The volatility of the market price of their products is one of the biggest sources of variability for the mining sector. Therefore, reducing or elimination this factor, significantly changes their risk profile. This dissertation discusses the potential benefit for mining companies of adopting a price hedge policy. Having a price hedge will be positive when prices go down and especially important when they reach stress levels. Consequently, a traditional deterministic approach, where the model inputs are fixed, would not support an appropriate analysis. As an alternative, with Monte Carlo simulation, it is possible to evaluate a wider range of possible outcomes and asses tail risk into the analysis. Therefore, this method was chosen to compare the economic results of a company under two different scenarios: when they allow their prices to fluctuate according to the market and under a fixed prices policy. A greenfield copper mine project was chosen to represent the operational and financial complexity of the sector. The interaction between financial leverage, company default risk, cost of debt and cash flow volatility is a key factor to determine whether it would be profitable to adopt a price hedge policy. The results show that, under certain circumstances, it is possible to create economical value by fixing their prices. Those factors are: lower direct costs, lower volatility of production and costs, higher commodities prices. |
publishDate |
2018 |
dc.date.accessioned.fl_str_mv |
2018-06-15T20:08:05Z |
dc.date.available.fl_str_mv |
2018-06-15T20:08:05Z |
dc.date.issued.fl_str_mv |
2018-04-04 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10438/24121 |
url |
https://hdl.handle.net/10438/24121 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional do FGV (FGV Repositório Digital) instname:Fundação Getulio Vargas (FGV) instacron:FGV |
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Fundação Getulio Vargas (FGV) |
instacron_str |
FGV |
institution |
FGV |
reponame_str |
Repositório Institucional do FGV (FGV Repositório Digital) |
collection |
Repositório Institucional do FGV (FGV Repositório Digital) |
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https://repositorio.fgv.br/bitstreams/c377e67c-4b0d-4410-8d83-622ca7827e94/download https://repositorio.fgv.br/bitstreams/c51091a0-6a71-4064-bd72-c2fd283db081/download https://repositorio.fgv.br/bitstreams/2deb78cd-3b4b-41f0-9c99-b9c1ed2b5117/download https://repositorio.fgv.br/bitstreams/ba7431f7-11c5-482c-80c0-b455ca773bc8/download |
bitstream.checksum.fl_str_mv |
2f9010bace415b6d13aa7d754bb9e0ff 347d2e5e3eacb6fd1a80e0b73d2a12d6 dfb340242cced38a6cca06c627998fa1 ad993ed64abc4c68bd9e93144101d332 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional do FGV (FGV Repositório Digital) - Fundação Getulio Vargas (FGV) |
repository.mail.fl_str_mv |
|
_version_ |
1813797810639732736 |