Analyzing and managing portfolio risk and performance using value-at-risk

Detalhes bibliográficos
Autor(a) principal: Martins, Beatriz de Jesus Mendes
Data de Publicação: 2024
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10071/33140
Resumo: Globalization has enhanced the need to guarantee that financial institutions apply efficient risk management. Therefore, regulations strengthened the monitorization of risk management, by enforcing the minimum capital requirements and implementing Value-at-Risk (VaR) approach as a standard risk measurement metric. The main goal in this work is to use the VaR to analyze the performance and manage the risk of a portfolio composed of stocks and bonds from 4 different markets. First, we need to test the VaR models, by using the Backtesting approach to identify the model that provides the best fit, considering the portfolio composition and characteristics. Then, we use the more accurate model to measure and compare two approaches: the daily VaR of the portfolio without a risk management strategy and the daily VaR managed through a hedging strategy, for a period of one-year. Finally, we compare the performance of both strategies using a performance measure, the Return on Risk-Adjusted Capital (RORAC). The results indicate that the portfolio with a risk management strategy to limit the daily maximum VaR outperforms the portfolio without risk management.
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spelling Analyzing and managing portfolio risk and performance using value-at-riskRisk managementValue-at-riskPortfolioBacktestingHedgingGestão de riscoPortfólioBacktestingHedgingGlobalization has enhanced the need to guarantee that financial institutions apply efficient risk management. Therefore, regulations strengthened the monitorization of risk management, by enforcing the minimum capital requirements and implementing Value-at-Risk (VaR) approach as a standard risk measurement metric. The main goal in this work is to use the VaR to analyze the performance and manage the risk of a portfolio composed of stocks and bonds from 4 different markets. First, we need to test the VaR models, by using the Backtesting approach to identify the model that provides the best fit, considering the portfolio composition and characteristics. Then, we use the more accurate model to measure and compare two approaches: the daily VaR of the portfolio without a risk management strategy and the daily VaR managed through a hedging strategy, for a period of one-year. Finally, we compare the performance of both strategies using a performance measure, the Return on Risk-Adjusted Capital (RORAC). The results indicate that the portfolio with a risk management strategy to limit the daily maximum VaR outperforms the portfolio without risk management.A globalização aumentou a necessidade de garantir que as instituições financeiras aplicam uma gestão de risco eficiente. Por isso, as regulamentações reforçaram a monitorização da gestão de risco, através de requisitos mínimos de capital e implementação do método Value-at-Risk (VaR) como uma métrica padrão de risco. O principal objetivo deste trabalho é utilizar o VaR para analisar o desempenho e gerir o risco de um portfólio composto por ações e obrigações de 4 mercados diferentes. Primeiro, precisamos de testar os modelos de VaR, utilizando o processo de Backtesting para identificar o modelo que se adequa mais à composição e caraterísticas do portfólio. Em seguida, usamos o modelo mais preciso para medir e comparar as duas estratégias: o VaR diário do portfolio sem estratégia de gestão de risco e o VaR diário com uma estratégia de hedging, para o período de um ano. Por fim, comparamos o desempenho de ambas as estratégias utilizando uma medida de desempenho, o Return on Risk-Adjusted Capital (RORAC). Os resultados indicam que o portfolio com a estratégia de gestão de risco para limitar o VaR máximo diário apresenta um desempenho superior ao portfolio sem gestão de risco.2025-01-24T12:24:36Z2024-12-17T00:00:00Z2024-12-172024-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10071/33140TID:203830644engMartins, Beatriz de Jesus Mendesinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-01-26T01:18:52Zoai:repositorio.iscte-iul.pt:10071/33140Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:41:32.081763Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Analyzing and managing portfolio risk and performance using value-at-risk
title Analyzing and managing portfolio risk and performance using value-at-risk
spellingShingle Analyzing and managing portfolio risk and performance using value-at-risk
Martins, Beatriz de Jesus Mendes
Risk management
Value-at-risk
Portfolio
Backtesting
Hedging
Gestão de risco
Portfólio
Backtesting
Hedging
title_short Analyzing and managing portfolio risk and performance using value-at-risk
title_full Analyzing and managing portfolio risk and performance using value-at-risk
title_fullStr Analyzing and managing portfolio risk and performance using value-at-risk
title_full_unstemmed Analyzing and managing portfolio risk and performance using value-at-risk
title_sort Analyzing and managing portfolio risk and performance using value-at-risk
author Martins, Beatriz de Jesus Mendes
author_facet Martins, Beatriz de Jesus Mendes
author_role author
dc.contributor.author.fl_str_mv Martins, Beatriz de Jesus Mendes
dc.subject.por.fl_str_mv Risk management
Value-at-risk
Portfolio
Backtesting
Hedging
Gestão de risco
Portfólio
Backtesting
Hedging
topic Risk management
Value-at-risk
Portfolio
Backtesting
Hedging
Gestão de risco
Portfólio
Backtesting
Hedging
description Globalization has enhanced the need to guarantee that financial institutions apply efficient risk management. Therefore, regulations strengthened the monitorization of risk management, by enforcing the minimum capital requirements and implementing Value-at-Risk (VaR) approach as a standard risk measurement metric. The main goal in this work is to use the VaR to analyze the performance and manage the risk of a portfolio composed of stocks and bonds from 4 different markets. First, we need to test the VaR models, by using the Backtesting approach to identify the model that provides the best fit, considering the portfolio composition and characteristics. Then, we use the more accurate model to measure and compare two approaches: the daily VaR of the portfolio without a risk management strategy and the daily VaR managed through a hedging strategy, for a period of one-year. Finally, we compare the performance of both strategies using a performance measure, the Return on Risk-Adjusted Capital (RORAC). The results indicate that the portfolio with a risk management strategy to limit the daily maximum VaR outperforms the portfolio without risk management.
publishDate 2024
dc.date.none.fl_str_mv 2024-12-17T00:00:00Z
2024-12-17
2024-11
2025-01-24T12:24:36Z
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 http://hdl.handle.net/10071/33140
TID:203830644
url http://hdl.handle.net/10071/33140
identifier_str_mv TID:203830644
dc.language.iso.fl_str_mv eng
language eng
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instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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