Integrating Elements In An I-DSS For
Portfolio Management In The Mexican Market
Author(s)
M. A. Osorio, A. Sánchez & M. A. Gómez
Abstract
We present the main elements to design an intelligent decision support system
(i-DSS) for portfolio management in the Mexican market, including the financial
investment considerations for a knowledge database and the requirements for a
portfolio optimization model. We take into account the tax impact and the
Mexican market conditions and volatility into the models; and modify the classic
Markowitz model, augmenting constraints to propose stochastic linear and
stochastic quadratic models. The extended Markowitz model is solved with an
efficient adapted Evolutionary Simulated Annealing algorithm. The efficient
frontier is calculated using the augmented model. We present a proposal for the
integration of an i-DSS (intelligent Decision Support Systems) with the
knowledge and preference system, the optimization model and the Mexican
market characteristics.
Keywords: intelligent decision support systems, portfolio optimization.
1 Introduction
Intelligent Decision Support Systems (i-DSS), as successors of Management
Information Systems (MIS), traditionally follow the decision logic line of
thinking and include in MIS algorithmic tools to improve the choice activity of
decision makers. This includes optimization methods, mathematical
programming, multi criteria models etc. They are \“structure related”, normally
assume that the decision problem can be formulated mathematically and do not
stress information processing and display. \“Knowledge” is represented in many
Keywords
intelligent decision support systems, portfolio optimization.
Related Book
Other papers in this volume
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