Correlations, hierarchies and networks of the world’s automotive companies

Yusuf Kocakaplan, Şerafettin Doğan, Bayram Deviren and Mustafa Keskin

Physica A: Statistical Mechanics and its Applications, 2013, vol. 392, issue 12, 2736-2774

Abstract: We investigate, within the scope of econophysics, the correlations, hierarchies and networks of the world’s automotive companies over the 2003–2010 period by using the concept of a minimal spanning tree (MST) and hierarchical tree (HT). We derive a hierarchical organization and construct the MSTs and HTs for the 2003–2010 period and illustrate how the MSTs and their associated HTs developed over time. These periods are divided into two subperiods, such as 2003–2006 and 2007–2010, in order to test various time-windows and understand the temporal evolution of the correlation structure over time. We perform the bootstrap techniques to investigate a value of the statistical reliability to the links of the MSTs. We also use average linkage cluster analysis (ALCA) to observe the cluster structure more clearly in HTs. From the structural topologies of these trees, we identify different clusters of companies according to their geographical proximity and economic ties. Our results show that some companies are more important within the network, due to a tighter connection with other companies. We also find that these important companies play a predominant role in the world’s automotive industry.

Keywords: Econophysics; Minimal spanning tree; Hierarchical tree; Bootstrap analysis; Average linkage cluster analysis; World’s automotive companies (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:392:y:2013:i:12:p:2736-2774

DOI: 10.1016/j.physa.2013.02.013

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