• DocumentCode
    1937837
  • Title

    Web Services for On-Demand Financial Investment Adviser Services

  • Author

    Wong, K.-S. ; Fung, K.-F. ; Ho, S.-Y. ; Lau, Raymond Y K ; Ho, Michael

  • Author_Institution
    City Univ. of Hong Kong, Hong Kong
  • Volume
    7
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    3794
  • Lastpage
    3799
  • Abstract
    Financial investment services are becoming increasingly more demanding in Hong Kong since people realize that they would probably gain more profits by investing in stock and warrant markets rather than saving all their money in banks. A system that would help investors to make timely and correct investment decisions whenever they need it would be very desirable. This paper illustrates the design and development of a Web Services Based On-Demand Financial Investment System. In particular, the financial models underpinning our financial investment system, the service-oriented system architecture, and the implementation details of the prototype system are discussed. Based on the Binomial Model and the Black-Scholes Model, we are able to develop an effective option rating system. The prototype system is developed using Java Web Services Pack and it can be accessed via personal computers or Personal Digital Assistants (PDAs).
  • Keywords
    Java; Web services; financial data processing; investment; stock markets; Hong Kong; Java Web services; investment decisions; ondemand financial investment adviser services; option rating system; personal digital assistants; service-oriented system architecture; Communication industry; Cybernetics; Financial management; Investments; Machine learning; Personal digital assistants; Prototypes; Real time systems; Simple object access protocol; Web services; Financial investment; Option trading; Pervasive computing; Web Services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370807
  • Filename
    4370807