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Title: Sector dominance ratio analysis of financial markets
Authors: Uechi, Lisa
Akutsu, Tatsuya  kyouindb  KAKEN_id
Stanley, H. Eugene
Marcus, Alan J.
Kenett, Dror Y.
Author's alias: 上地, 理沙
Keywords: Financial markets
Sector dominance ratio
Market structure
Issue Date: Mar-2015
Publisher: Elsevier B.V.
Journal title: Physica A: Statistical Mechanics and its Applications
Volume: 421
Start page: 488
End page: 509
Abstract: In this paper we present a new measure to investigate the functional structure of financial markets, the Sector Dominance Ratio (SDR). We study the information embedded in raw and partial correlations using random matrix theory (RMT) and examine the evolution of economic sectoral makeup on a yearly and monthly basis for four stock markets, those of the US, UK, Germany and Japan, during the period from January 2000 to December 2010. We investigate the information contained in raw and partial correlations using the sector dominance ratio and its variation over time. The evolution of economic sectoral activities can be discerned through the largest eigenvectors of both raw correlation and partial correlation matrices. We find a characteristic change of the largest eigenvalue from raw and partial correlations and the SDR that coincides with sharp breaks in asset valuations. Finally, we propose the SDR as an indicator for changes in VIX indexes.
Rights: © 2014 Elsevier B.V.
This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。
URI: http://hdl.handle.net/2433/193452
DOI(Published Version): 10.1016/j.physa.2014.11.055
Appears in Collections:Journal Articles

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