Financial Security Analysis and Portfolio Management with a Deductive Database System

  • Christoph Lell
Conference paper


Knowledge-based information systems have been increasingly recognized as tools for planning and cost reduction for various services in the financial world. We report on the development of a knowledge-based information system which acts as an aid for investment decision making. Furthermore, we show how a modular design approach is ideally suited for developing a knowledge-based information system (IS) in the financial security domain. The paper concentrates on the design technique used in developing the system with the Syllog Expert Database System.


Cash Flow Capital Asset Price Model Asset Class Expect Growth Rate Stock Valuation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. [ABW88]
    Apt, K. R., Blair, H., Walker A., Towards a Theory of Declarative Knowledge in Foundations of Deductive Databases and Logic Programming J. Minker (Ed.), Morgan Kaufman, 89-148, 1988.Google Scholar
  2. [BKM91]
    Baral C., Kraus S., Minker J., Combining Multiple Knowledge Bases, IEEE Transact. on Knowledge and Data Engineering, Vol. 3, No. 2, pp. 208–220, 1991.CrossRefGoogle Scholar
  3. [CGT90]
    Ceri S., Gottlob G., Tanca L., Logic Programming and Databases, Springer-Verlag Berlin Heidelberg, 1990.CrossRefGoogle Scholar
  4. [CS91]
    Chorafas D. N., Steinmann H., Expert Systems in Banking, Macmillan, 1991.Google Scholar
  5. [Debe89]
    Debenham J. K., Knowledge Systems Design, Prentice Hall of Australia, 1989.Google Scholar
  6. [GS79]
    Gane C., Sarson T., Structured Systems Analysis, Engelwood Cliffs, Prentice-Hall, 1979.Google Scholar
  7. [Hart91]
    Hartvigsen G., Limitations of Knowledge-Based Systems for Financial Analysis in Banking, Expert Systems with Applications, Vol. 4, p. 19–32, 1991.CrossRefGoogle Scholar
  8. [JF90]
    Jacob R., Froscher J., A Software Engineering Methodology for Rule-Based Systems, IEEE Transactions on Knowledge and Data Engineering, Vol. 2, No. 2, pp. 173–189, 1990.CrossRefGoogle Scholar
  9. [KN91]
    Kehrer N., Neumann G., Treating Enhanced Entity Relationship Models in a Declarative Style, 2 Russian Conference on Logic Programming, St. Petersburg, to appear in conference proceedings, Springer, 1991.Google Scholar
  10. [Lell91]
    Lell C., Using a Meta-Knowledge Method for Developing an Educational Knowledge-Based Application, Database and Expert Systems Applications, DEXA91 Conference Proceedings, Springer-Verlag, 1991.Google Scholar
  11. [MT90]
    Maginn J. L., Tuttle D. L. eds., Managing Investment Portfolios, Warren, Gorham & Lamont, 1990.Google Scholar
  12. [NH89]
    Nijsen G. M., Halpin T. A., Conceptual Schema and Database Design, Prentice Hall of Australia, 1989.Google Scholar
  13. [Pau91]
    Pau L. F., Artificial Intelligence and Financial Services, IEEE Transactions on Knowledge and Data Engineering, Vol. 3, No. 2, pp. 137–148, 1991.CrossRefGoogle Scholar
  14. [Plan91]
    Plant R., Rigorous Approach to the Development of Knowledge-based Systems, Knowledge-Based Systems, Butterworth Ltd., Vol. 4, No. 4, pp. 186–196, 1991.CrossRefGoogle Scholar
  15. [WMSW90]
    Walker A., McCord M., Sowa J., Wilson W., Knowledge Systems and Prolog, Addison Wesely, 1990.Google Scholar
  16. [WRBL90]
    Wiederhold G., Rathman P., Barsalou T., Lee B. S., Partitioning and Composing Knowledge, Information Systems Vol. 15, No. 1, pp. 61–72, 1990.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag/Wien 1992

Authors and Affiliations

  • Christoph Lell
    • 1
  1. 1.Department of Management Information SystemsWirtschaftsuniversität WienWienAustria

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