Abstract
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.
Part of the research by this author was done while at the University of California at Berkeley and Lawrence Berkeley Laboratory
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Chandra, R., Segev, A. (1994). Using next generation databases to develop financial applications. In: Litwin, W., Risch, T. (eds) Applications of Databases. ADB 1994. Lecture Notes in Computer Science, vol 819. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58183-9_49
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DOI: https://doi.org/10.1007/3-540-58183-9_49
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