Annals of Operations Research

, Volume 261, Issue 1–2, pp 275–288 | Cite as

Selecting cash management models from a multiobjective perspective

  • Francisco Salas-Molina
  • Juan A. Rodriguez-Aguilar
  • Pablo Díaz-García
Original Paper
First Online:

Abstract

This paper addresses the problem of selecting cash management models under different operating conditions from a multiobjective perspective considering not only cost but also risk. A number of models have been proposed to optimize corporate cash management policies. The impact on model performance of different operating conditions becomes an important issue. Here, we provide a range of visual and quantitative tools imported from Receiver Operating Characteristic (ROC) analysis. More precisely, we show the utility of ROC analysis from a triple perspective as a tool for: (1) showing model performance; (2) choosing models; and (3) assessing the impact of operating conditions on model performance. We illustrate the selection of cash management models by means of a numerical example.

Keywords

Cash management models ROC analysis Multiobjective Operating condition 
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Notes

Acknowledgements

Work partially funded by projects Collectiveware TIN2015-66863-C2-1-R (MINECO/FEDER) and 2014 SGR 118.

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Copyright information

© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.Hilaturas Ferre S.A.Banyeres de MariolaSpain
  2. 2.IIIA-CSICCerdanyolaSpain
  3. 3.Universidad Politécnica ValenciaAlcoySpain

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