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Revista Brasileira de Finanças 2007, 5 1

Author: Eder Oliveira Abensur



Revista Brasileira de Finanças ISSN: 1679-0731 Sociedade Brasileira de Finanças Brasil Oliveira Abensur, Eder Genetic Algorithms for Development of New Financial Products Revista Brasileira de Finanças, vol.
5, núm.
1, 2007, pp.
59-77 Sociedade Brasileira de Finanças Rio de Janeiro, Brasil Available in: How to cite Complete issue More information about this article Journals homepage in Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative Genetic Algorithms for Development of New Financial Products Eder Oliveira Abensur* Abstract New Product Development (NPD) is recognized as a fundamental activity that has a relevant impact on the performance of companies.
Despite the relevance of the financial market there is a lack of work on new financial product development.
The aim of this research is to propose the use of Genetic Algorithms (GA) as an alternative procedure for evaluating the most favorable combination of variables for the product launch.
The paper focuses on: (i) determining the essential variables of the financial product studied (investment fund); (ii) determining how to evaluate the success of a new investment fund launch and (iii) how GA can be applied to the financial product development problem.
The proposed framework was tested using 4 years of real data from the Brazilian financial market and the results suggest that this is an innovative development methodology and useful for designing complex financial products with many attributes. Keywords: Genetic algorithms; product design and financial services. JEL codes: G11; G24; C49. Resumo O Desenvolvimento de Novos Produtos (DNP) é considerado como uma atividade fundamental e que possui um impacto relevante no desempenho das empresas.
Apesar da relevância do mercado financeiro há u...

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