Abstract
We present the main elements for a decision support system for portfolio management in the Mexican market, including the financial investments consideration for a database, the uncertainty representation in scenario trees and the requirements for a portfolio optimization model. We used a stochastic programming approach to formulate the multistage optimization model, modified with new constraints and solved it with a Simulated Annealing procedure. The scenario tree was generated by a simulation and clustering process. Some examples are presented to show the performance of the proposed procedure.
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