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TRABALHOS DE FIM DE CURSO @PUC-Rio
Consulta aos Conteúdos
Estatística
Título: ESTIMATION OF RISK NEUTRAL DISTRIBUTION WITH REAL MARKET DATA
Autor(es): RODRIGO DE CARVALHO AMATRUDA HADDAD CALEIRO
Colaborador(es): ALVARO DE LIMA VEIGA FILHO - Orientador
MANOEL FRANCISCO DE SOUZA PEREIRA - Coorientador
Catalogação: 11/JUL/2016 Língua(s): PORTUGUESE - BRAZIL
Tipo: TEXT Subtipo: SENIOR PROJECT
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=26822@1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=26822@2
DOI: https://doi.org/10.17771/PUCRio.acad.26822
Resumo:
This work introduces a way to calculate theoretical prices for derivatives that are negociated in the Brazilian Financial Market using an empirical version of the Esscher transform. In order to verify the efficacy of the method, real market data were used to value options over the Ibovespa Index and the Petrobras preferential stock. Moreover, the prices obtained with the Esscher model were compared with theoretical prices calculated with the Black and Scholes equation, the world famous derivative pricing formula, and with real options price obtained in the Brazilian futures market BMF&Bovespa. As motivation, the work introduces how financial options work and how they are extremely useful for asset management firms as well as industries.
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