Research on the design and implementation of a financial data analysis system based on the background of big data

DOI

10.2991/978-94-6463-304-7_2How to use a DOI?

Keywords

Big data; The financial system; Method of implementation; Optimisation studies

Abstract

This paper focuses on the system design and research of the financial system based on the new big data context. The system design and implementation research is carried out on the basis of the development of the current situation of the company combined with certain system optimisation exit functions. Financial analysis is an important piece of information for decision makers and investors in companies. Traditional methods of financial analysis include quantitative modelling and textual analysis. Quantitative model analysis is the analysis of financial data through the use of statistical analysis tools or artificial intelligence techniques. The models rely on selected key indicators such as financial ratios, technical indicators and macroeconomic indicators. Text analysis is the contextual analysis of the content of financial reports using text mining methods that rely on the identification of predefined sets of keywords. Although there are commonalities in the indicators and keywords chosen by different researchers in their studies, the choice of indicators and keywords differs due to personal preferences and subjective and objective circumstances, so the results of the analysis of these two types of methods are often subjective.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xinchen Shi
PY  - 2023
DA  - 2023/12/04
TI  - Research on the design and implementation of a financial data analysis system based on the background of big data
BT  - Proceedings of the 3rd International Conference on Digital Economy and Computer Application (DECA 2023)
PB  - Atlantis Press
SP  - 4
EP  - 12
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-304-7_2
DO  - 10.2991/978-94-6463-304-7_2
ID  - Shi2023
ER  -