An Analysis on Financial Ability of Listed Media Companies in the Context of Big Data

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.

Factors affecting the capital structure of listed Chinese media companies

“…As a result, a model of the structural equation is proposed with four influential ways related to the efficiency of the media business company in terms of liabilities management and debt structure optimization (Xu, 2020). Media companies should use their own strengths to search and analyse big data; rationally apply information, create new points of profit growth (Yi, 2019). A study using panel data from Chinese listed companies demonstrated a different capital structure of companies.…”

“…Media companies should use their own strengths to search and analyse big data; rationally apply information, create new points of profit growth (Yi, 2019). A study using panel data from Chinese listed companies demonstrated a different capital structure of companies.…”