2007
DOI: 10.1590/s0101-74382007000300003
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A new media optimizer based on the mean-variance model

Abstract: In the financial markets, there is a well established portfolio optimization model called generalized mean-variance model (or generalized Markowitz model). This model considers that a typical investor, while expecting returns to be high, also expects returns to be as certain as possible. In this paper we introduce a new media optimization system based on the mean-variance model, a novel approach in media planning. After presenting the model in its full generality, we discuss possible advantages of the mean-var… Show more

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Cited by 4 publications
(3 citation statements)
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“…Lwin & Kendal (2014) proposed an efficient learning-guided hybrid multi-objective evolutionary algorithm to solve the constrained portfolio optimization problem in the extended mean-variance framework. Fernandez et al (2007) presented several potential advantages of the mean-variance paradigm over other methods used to solve the portfolio optimization problem, like linear programming and greedy algorithms.…”
Section: Multiobjective Evolutionary Metaheuristic Approachmentioning
confidence: 99%
See 1 more Smart Citation
“…Lwin & Kendal (2014) proposed an efficient learning-guided hybrid multi-objective evolutionary algorithm to solve the constrained portfolio optimization problem in the extended mean-variance framework. Fernandez et al (2007) presented several potential advantages of the mean-variance paradigm over other methods used to solve the portfolio optimization problem, like linear programming and greedy algorithms.…”
Section: Multiobjective Evolutionary Metaheuristic Approachmentioning
confidence: 99%
“…Finally, we mention the case study by Fernandez et al (2007) that proposed a decision model using both decision analysis and Bayesian risk analysis concepts in the design of a portfolio for production planning in the sugarcane industry in Brazil.…”
Section: Anagnostopoulosmentioning
confidence: 99%
“…Another interesting application related to advertising was developed by Fernandez et al 33 where a new media optimization system based on the Markovitz mean‐variance model was presented. These models are relevant to media planning because they optimally choose resource allocations in different media, that is, how many inserts for each distinct medium and when to allocate.…”
Section: Motivationmentioning
confidence: 99%