Using next generation databases to develop financial applications

  • Rakesh Chandra
  • Arie Segev
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 819)


Conventional database systems lack temporal, object and rule support to model financial database applications. In [CS93a], we described the complexity of financial applications and studied the database requirements of such applications. We argued that next-generation databases are an appropriate platform for developing database applications. In this paper we build upon this research by studying strategies to model entities commonly encountered in financial applications. Specifically, the financial entities discussed in this paper are financial instruments and portfolios. Positions in financial instruments and the trading strategies that give meaning to these positions are also modeled. The paper proposes class definitions to model the structural and dynamic properties of financial entities and the interactions between them. These class definitions describe a generic set of attributes and operators for the financial entities discussed. Examples from the financial domain are used to illustrate the modeling constructs and class definitions proposed.


Financial Applications Next-Generation Databases Modeling Financial Entities 


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Copyright information

© Springer-Verlag Berlin Heidelberg 1994

Authors and Affiliations

  • Rakesh Chandra
    • 1
  • Arie Segev
    • 2
    • 3
  1. 1.Bond Portfolio Analysis GroupSalomon Brothers Inc., 7 World Trade CenterNew YorkUSA
  2. 2.Walter A. Haas School of BusinessUniversity of California at BerkeleyUSA
  3. 3.Information and Computing Sciences DivisionLawrence Berkeley LaboratoryBerkeley

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