The Analysis of Indicators of Long-Term Prosperity Companies from Automotive Based on Predictive Finance Indicators
- DOI
- 10.2991/icaat-16.2016.41How to use a DOI?
- Keywords
- Indicators, finance, long-term prosperity, automotive
- Abstract
Automotive industry in the Czech Republic is important and highly monitored. The reason for this is mainly the fact that the automotive industry contributes significantly to the formation of GDP, according to Ministry of Industry and Trade (MIT, 2015) 15% long-term profit is made in the automotive sector. This sector also creates large numbers of jobs. This article aims to test ex post leading financial indicators of long-term prosperity, which have previously been selected from a large set of indicators. Their influence was observed in comparison with the value of ROA created two years thereafter on a large group of manufacturing companies, whose activities and position in the industry in the Czech Republic are similar. Past of the success was the creation of economic value added as financial assumption of long-term prosperity. In this article we try to indicate the importance of selected indicators for automotive industry. Furthermore, we show portability in time, i.e. that the same indicators correlate with the value of ROA and with a distance longer or shorter time in advance. The tested set includes 186 Czech automotive companies, which were excluded from Tier 1 companies because their market conditions are qualitatively higher.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Hana Scholleová PY - 2016/12 DA - 2016/12 TI - The Analysis of Indicators of Long-Term Prosperity Companies from Automotive Based on Predictive Finance Indicators BT - Proceedings of the 5th International Conference on Accounting, Auditing, and Taxation (ICAAT 2016) PB - Atlantis Press SN - 2352-5428 UR - https://doi.org/10.2991/icaat-16.2016.41 DO - 10.2991/icaat-16.2016.41 ID - Scholleová2016/12 ER -