2013
DOI: 10.4301/s1807-17752013000300006
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Cash Management Policies By Evolutionary Models: A Comparison Using The MILLER-ORR Model

Abstract: This work aims to apply genetic algorithms (GA) and particle swarm optimization (PSO) to managing cash balance, comparing performance results between computational models and the Miller-Orr model. Thus, the paper proposes the application of computational evolutionary models to minimize the total cost of cash balance maintenance, obtaining the parameters for a cash management policy, using assumptions presented in the literature, considering the cost of maintenance and opportunity for cost of cash. For such, we… Show more

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Cited by 7 publications
(4 citation statements)
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References 24 publications
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“…Vörösmarty and Dobos (2013) show that zero current account balance is omniscient optimal via an algebraic proof. Moraes and Nagano (2013, 2014) and da Costa Moraes et al. (2015), in a series of papers, investigate optimization of the Miller–Orr algorithm using evolutionary optimization, including the case of multiple assets.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Vörösmarty and Dobos (2013) show that zero current account balance is omniscient optimal via an algebraic proof. Moraes and Nagano (2013, 2014) and da Costa Moraes et al. (2015), in a series of papers, investigate optimization of the Miller–Orr algorithm using evolutionary optimization, including the case of multiple assets.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The theory figures out how to accomplish a sensible level of authenticity while not being excessively detailed. It conjectures that the aggregate cash flows are constantly distributed with very low levels of the mean and standard deviation (Moraes & Nagano, 2013). It accepts that the day by day cash flows are unverifiable and in this manner take after a trendless random walk.…”
Section: Cash Management Theorymentioning
confidence: 99%
“…In a recent extension of this model, Bar-Ilan et al [7] presented a general cash management model that was considered to be an impulse control problem in the process of stochastic money flow. Moraes and Nagano [8] proposed the application of computational evolutionary models to minimize the total cost of cash balance maintenance, and obtain the parameters for a cash management policy. Song et al [9] presented a model using a dynamic programming method that does not need to satisfy the condition that cash flow has a normal distribution.…”
Section: Introductionmentioning
confidence: 99%