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Digital
Library of the European Council for Modelling and Simulation |
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Title: |
Review Of Global Industry
Classification |
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Authors: |
Laszlo
Nagy, Mihaly Ormos |
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Published in:
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(2018). ECMS 2018
Proceedings Edited by: Lars Nolle, Alexandra
Burger, Christoph Tholen,
Jens Werner, Jens Wellhausen European Council for
Modeling and Simulation. doi:
10.7148/2018-0005 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) 32nd European Conference on Modelling and Simulation, Wilhelmshaven, Germany, May 22nd
– May 265h, 2018 |
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Citation
format: |
Laszlo
Nagy, Mihaly Ormos
(2018). Review Of Global Industry Classification,
ECMS 2018 Proceedings Edited by: Lars Nolle,
Alexandra Burger, Christoph Tholen,
Jens Werner, Jens Wellhausen European Council for
Modeling and Simulation. doi:
10.7148/2018-0066 |
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DOI: |
https://doi.org/10.7148/2018-0066 |
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Abstract: |
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. |
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Full
text: |
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