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Decision Making in Financial Markets Through Multivariate Ordering Procedure

In: Mathematical and Statistical Methods in Insurance and Finance

Author

Listed:
  • Luca Grilli

    (University of Foggia)

  • Massimo Alfonso Russo

    (University of Foggia)

Abstract

One of the main problems in managing multidimensional data for decision making is that it is impossible to define a complete ordering on multidimensional Euclidean spaces. In order to solve this problem, the scientific community has devolped more and more sofisticated tecniques belonging to the wide framework of Multivariate Statistics. Recently some authors [DR04] have proposed an ordering procedure in which the “meaningful direction” is the “worst-best”. The aim of this paper is to extend this approach considering that, especially in financial applications, variables are quantified using different scales and, as we will show, this can lead to undesired results. As a matter of fact, we show that, without an appropriate rescaling, variables with a large range of variation (rv) are “overweighted” with respect to variables with a small one.

Suggested Citation

  • Luca Grilli & Massimo Alfonso Russo, 2008. "Decision Making in Financial Markets Through Multivariate Ordering Procedure," Springer Books, in: Cira Perna & Marilena Sibillo (ed.), Mathematical and Statistical Methods in Insurance and Finance, pages 139-147, Springer.
    • Handle: RePEc:spr:sprchp:978-88-470-0704-8_18
    DOI: 10.1007/978-88-470-0704-8_18
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    Cited by:

    1. Luca GRILLI & Massimo Alfonso RUSSO & Roberto GISMONDI, 2012. "Methodological Proposals For A Qualitative Evaluation Of Italian Durum Wheat Varieties," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 7(2(20)/ Su), pages 103-122.

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