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Saving Time in Portfolio Optimization on Financial Markets

In: Application of Decision Science in Business and Management

Author

Listed:
  • Todor Stoilov
  • Krasimira petrova Stoilova
  • Miroslav Vladimirov

Abstract

The time management is important part for tasks in real-time operation of systems, automation systems, optimization in complex system, taking explicit consideration in time constraints, scheduling of tasks and operations, making with incomplete data, and time management in different practical cases. The limit in time for taking appropriate decisions for management and control is a strong constraint for the implementation of autonomic functionalities as self-configuration, self-optimization, self-healing, self-protection in computer systems, transportation systems, and distributed systems. Time is an important and expensive resource. The time management in financial domain is a prerequisite for high competitiveness and an increase in the quality of the investment activities. It is the popular phrase that time is money, and particularly, the portfolio optimization targets its implementation in real cases. This research targets the identification of portfolio parameters, which are strongly influenced by time. We restrict our considerations only on portfolio optimization task, and we identify cases, which are strongly influenced by time constraints. Thus, the portfolio optimization problem is discussed on position how the time can influence the portfolio characteristics and solutions. This chapter starts with the description of the object portfolio management, which provides the cases where time in explicit way influences the portfolio problem.

Suggested Citation

  • Todor Stoilov & Krasimira petrova Stoilova & Miroslav Vladimirov, 2020. "Saving Time in Portfolio Optimization on Financial Markets," Chapters, in: Fausto Pedro Garcia Marquez (ed.), Application of Decision Science in Business and Management, IntechOpen.
    • Handle: RePEc:ito:pchaps:204083
    DOI: 10.5772/intechopen.88985
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    File URL: https://www.intechopen.com/chapters/69072
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    Cited by:

    1. Todor Stoilov & Krasimira Stoilova & Miroslav Vladimirov, 2021. "Explicit Value at Risk Goal Function in Bi-Level Portfolio Problem for Financial Sustainability," Sustainability, MDPI, vol. 13(4), pages 1-14, February.

    More about this item

    Keywords

    data driven analysis; real-time portfolio optimization; decision making; automation in information systems;
    All these keywords.

    JEL classification:

    • D7 - Microeconomics - - Analysis of Collective Decision-Making

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