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Topic and sentiment analysis of multiple textual sources for corporate financial decision-making

Provider: Grantová agentura ČR
Programme: Standardní projekty
Implementation period: 01.01.16 - 31.12.18
Workplace: Fakulta ekonomicko-správní - Ústav systémov.inženýrství a informatik
Investigator: Hájek Petr
Team member: Myšková Renáta | Hájková Veronika
Description:
Financial managers make decisions on asset and financial structure, expense and income as well as profit distribution. In particular, accounting information provide important support to their decision-making. However, important information on business activities and results are usually stated in verbal rather than in numerical form. The qualitative aspects help not only evaluate the current economic situation of the company but also improve company management and establish its goals. Verbal comments are also important for investors, which use them as a basis to evaluate investment opportunities. To obtain a complete picture of the financial situation, the context-sensitive information provided in various sources of text documents is thus necessary. Therefore, understanding how the information in the documents can be used to predict financial indicators is obviously of great importance. The results of this research will shed light on the role of opinion expressed by various insiders/outsiders in corporate financial decision-making.