Analyzing and managing portfolio risk and performance using value-at-risk
| Autor(a) principal: | |
|---|---|
| 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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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 |
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publishedVersion |
| dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10071/33140 TID:203830644 |
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http://hdl.handle.net/10071/33140 |
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TID:203830644 |
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eng |
| language |
eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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RCAAP |
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RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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info@rcaap.pt |
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1833598259235389440 |