An Extension of Multidimensional Scaling to Several Distance Matrices, and Its Application to the Italian Banking Sector

Alessandro Berti () and Nicola Loperfido ()
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Alessandro Berti: Dipartimento di Economia, Società e Politica, Università degli Studi di Urbino “Carlo Bo”
Nicola Loperfido: Dipartimento di Economia, Società e Politica, Università degli Studi di Urbino “Carlo Bo”

A chapter in Mathematical and Statistical Methods for Actuarial Sciences and Finance, 2018, pp 133-137 from Springer

Abstract: Abstract Multidimensional scaling is an exploratory statistical technique which is widely used for detecting structures in multivariate data. Unfortunately, it relies on a single distance matrix. We propose an extension of multidimensional scaling to several distance matrices which is particularly useful when the latter are roughly proportional to each other. We apply the proposed method to several balance sheet ratios collected from Italian banks. The main empirical finding is that the two major banks are very different from each other and from smaller banks, which are clustered together. It contributes to the current debate on dimension as stabililizer of the banking system.

Keywords: Balance sheet ratio; Bank; Multidimensional scaling (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-89824-7_25

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DOI: 10.1007/978-3-319-89824-7_25

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