Financial Market Implied Industry Classification

被引:0
|
作者
Nagy, Laszlo [1 ]
Ormos, Mihaly [2 ,3 ]
机构
[1] Budapest Univ Technol & Econ, Dept Finance, Magyar Tudosok Korutja 2, H-1117 Budapest, Hungary
[2] Eotvos Lorand Univ, Dept Finance & Accounting, Inst Business Econ, Szep Utca 2, H-1052 Budapest, Hungary
[3] J Selye Univ, Dept Econ, Bratislavska Cesta 3322, SK-94501 Komarno, Slovakia
关键词
Cluster analysis; market classification; GICS; machine learning;
D O I
暂无
中图分类号
K9 [地理];
学科分类号
0705 ;
摘要
This paper introduces the financial market implied industry classification standard. Besides current industry classifications we propose a spectral clustering based quantitative methodology. The main drawback of current standards come from their qualitative classification techniques which can be eliminated in this purely mathematical concept. Calculating the market implied clusters and compering them with global industry classification explores that market implied classification provides better statistical results. However it also turns out that different clustering techniques provide similar classifications, moreover, both methods determine "Real Estate" as a cluster.
引用
收藏
页码:445 / 453
页数:9
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