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FINANCIAL PERFORMANCE VARIANCE ANALYSIS OF NON-LINEAR DECOMPOSITION IN METALLURGY

1 DLUHOŠOVÁ Dana
Co-authors:
1 PTÁČKOVÁ Barbora 1 ZMEŠKAL Zdeněk
Institution:
1 VSB - Technical University of Ostrava, Faculty of Economics, Department of Finance, Ostrava, Czech Republic, EU, dana.dluhosova@vsb.cz, Barbora.ptackova@vsb.cz, zdenek.zmeskal@vsb.cz
Conference:
24th International Conference on Metallurgy and Materials, Hotel Voronez I, Brno, Czech Republic, EU, June 3rd - 5th 2015
Proceedings:
Proceedings 24th International Conference on Metallurgy and Materials
Pages:
1896-1901
ISBN:
978-80-87294-58-1
ISSN:
2694-9296
Published:
12th January 2015
Proceedings of the conference were published in Web of Science and Scopus.
Metrics:
331 views / 124 downloads
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Abstract

Financial performance is a random process which could be decomposed in the particular indices. Often the influence function is of a non-linear form. For a performance analysis is important knowledge of the indices influence. One of the possible random influence measure is variance. However, the problem is more complicated under non-linear function of indices. There is in the paper derived a problem of the non-linear delta method approximation of variance decomposition. Financial performance variance decomposition in metallurgy sector is verified and investigated.

Keywords: financial performance, delta approximation method, variance decomposition

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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