Mean-Variance stochastic goal programming for sustainable mutual funds' portfolio selection

  1. ANA GARCIA-BERNABEU 1
  2. DAVID PLA 1
  3. MILA BRAVO 1
  4. BLANCA PEREZ-GLADISH 2
  1. 1 Universidad Politécnica de Valencia
    info

    Universidad Politécnica de Valencia

    Valencia, España

    ROR https://ror.org/01460j859

  2. 2 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

Revista:
Rect@: Revista Electrónica de Comunicaciones y Trabajos de ASEPUMA

ISSN: 1575-605X

Año de publicación: 2015

Volumen: 16

Número: 2

Páginas: 135-147

Tipo: Artículo

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Otras publicaciones en: Rect@: Revista Electrónica de Comunicaciones y Trabajos de ASEPUMA

Resumen

Mean-Variance Stochastic Goal Programming models (MV-SGP) provide satisficing investment solutions in uncertain contexts. In this work, an MV-SGP model is proposed for portfolio selection which includes goals with regards to traditional and sustainable assets. The proposed approach is based on a two-step procedure. In the first step, sustainability and/or financial screens are applied to a set of assets (mutual funds) previously evaluated with TOPSIS to determine the opportunity set. In a second step, satisficing portfolios of assets are obtained using a Goal Programming approach. Two different goals are considered. The first goal reflects only the purely financial side of the target while the second goal is referred to the sustainable side. Aversion to Risk Absolute (ARA) coefficients are estimated and incorporated in our investment decision making approach using two different approaches.

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