An Analysis on Financial Ability of Listed Media Companies in the Context of Big Data
- DOI
- 10.2991/icemse-19.2019.162How to use a DOI?
- Keywords
- media, big data, principal component analysis, financial ability
- Abstract
The thesis in hand analyzes the financial abilities of china listed media companies in the context of Big Data. An empirical study is conducted here by selecting 12 financial indicators as research variables; then it applies the method of principal component analysis and builds regression equations. Data collecting is based on average values generated from annual reports, from 2015 to 2018, of 91 sample listed companies in china mass media industry. Research results of this study show that the overall financial status of sample companies is optimistic, but profitability and growth ability of these companies still remain comparatively low. Finally, it suggests that: companies should be innovative in management, the internal structure of the industry should be optimized, and the value of data should be made full use to create new profit growth point.
- Copyright
- © 2019, 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 - Fei Yi PY - 2019/09 DA - 2019/09 TI - An Analysis on Financial Ability of Listed Media Companies in the Context of Big Data BT - Proceedings of the 2019 3rd International Conference on Education, Management Science and Economics (ICEMSE 2019) PB - Atlantis Press SP - 701 EP - 705 SN - 2352-5428 UR - https://doi.org/10.2991/icemse-19.2019.162 DO - 10.2991/icemse-19.2019.162 ID - Yi2019/09 ER -