PB-ADVISOR: A private banking multi-investment portfolio advisor

  • Authors:
  • Israel Gonzalez-Carrasco;Ricardo Colomo-Palacios;Jose Luis Lopez-Cuadrado;Ángel Garcıa-Crespo;Belén Ruiz-Mezcua

  • Affiliations:
  • Computer Science Department, Universidad Carlos III de Madrid, Av. Universidad 30, Leganés, 28911 Madrid, Spain;Computer Science Department, Universidad Carlos III de Madrid, Av. Universidad 30, Leganés, 28911 Madrid, Spain;Computer Science Department, Universidad Carlos III de Madrid, Av. Universidad 30, Leganés, 28911 Madrid, Spain;Computer Science Department, Universidad Carlos III de Madrid, Av. Universidad 30, Leganés, 28911 Madrid, Spain;Computer Science Department, Universidad Carlos III de Madrid, Av. Universidad 30, Leganés, 28911 Madrid, Spain

  • Venue:
  • Information Sciences: an International Journal
  • Year:
  • 2012

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Abstract

Private banking is a business area in which the investor requires tailor-made advice. Because of the current market situation, investors are requiring answers to difficult questions and looking for assurance from wealth managers. Private bankers need to have deep knowledge about an innumerable list of products and their characteristics as well as the suitability of each product for the client's characteristics to be able to offer an optimal portfolio according to client expectations. Client and portfolio diversity calls for new recommendation and advice systems focused on their specific characteristics. This paper presents PB-ADVISOR, a system aimed at recommending investment portfolios based on fuzzy and semantic technologies to private bankers. The proposed system provides private bankers with a powerful tool to support their decision process and help deal with complex investment portfolios. The system has been evaluated in a real scenario obtaining promising results.