Skip to main navigation Skip to search Skip to main content

Web services for on-demand financial investment adviser services

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

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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). © 2007 IEEE.
Original languageEnglish
Title of host publicationProceedings of the Sixth International Conference on Machine Learning and Cybernetics, ICMLC 2007
Pages3794-3799
Volume7
DOIs
Publication statusPublished - 2007
Event6th International Conference on Machine Learning and Cybernetics, ICMLC 2007 - Hong Kong, China
Duration: 19 Aug 200722 Aug 2007

Publication series

Name
Volume7

Conference

Conference6th International Conference on Machine Learning and Cybernetics, ICMLC 2007
PlaceChina
CityHong Kong
Period19/08/0722/08/07

Research Keywords

  • Financial investment
  • Option trading
  • Pervasive computing
  • Web services

Fingerprint

Dive into the research topics of 'Web services for on-demand financial investment adviser services'. Together they form a unique fingerprint.

Cite this