Innovative Research of Financial Risk Based on Financial Soliton Theory and Big Data Ideation

2017 ◽  
pp. 371-376
Author(s):  
Yu-Shan Xue ◽  
Xian-Jun Yin
Keyword(s):  
Big Data ◽  
Financial Risk ◽  
Soliton Theory ◽  
Innovative Research

scholarly journals Hydrological Layered Dialysis Research on Supply Chain Financial Risk Prediction under Big Data Scenario

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Jia Liu ◽  
Shiyong Li ◽  
Xiaoxia Zhu
Keyword(s):  
Risk Management ◽  
Big Data ◽  
Supply Chain ◽  
Risk Analysis ◽  
Risk Prediction ◽  
Financial Institutions ◽  
Surface Runoff ◽  
Financial Risk ◽  
Supply Chain Finance ◽  
Runoff Model

In recent years, internet development provides new channels and opportunities for small- and middle-sized enterprises’ (SMEs) financing. Supply chain finance is a hot topic in theoretical and practical circles. Financial institutions transform materialized capital flows into online data under big data scenario, which provides networked, precise, and computerized financial services for SMEs in the supply chain. By drawing on the risk management theory in economics and the distributed hydrological model in hydrology, this paper presents a supply chain financial risk prediction method under big data. First, we build a “hydrological database” used for the risk analysis of supply chain financing under big data. Second, we construct the risk identification models of “water circle model,” “surface runoff model,” and “underground runoff model” and carry on the risk prediction from the overall level (water circle). Finally, we launch the supply chain financial risk analysis from breadth level (surface runoff) and depth level (underground runoff); moreover, we integrate the analysis results and make financial decisions. The results can enrich the research on risk management of supply chain finance and provide feasible and effective risk prediction methods and suggestions for financial institutions.

scholarly journals Application of Big Data Model in Financial Taxation Management

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Li Lin
Keyword(s):  
Big Data ◽  
Financial Risk ◽  
Value Added ◽  
Operating Conditions ◽  
Value Added Tax ◽  
Strong Negative Correlation ◽  
Problems And Solutions ◽  
Business Income ◽  
Taxation Management ◽  
Big Data Technology

We have entered an era of information technology. Many financial and taxation management tasks have been applied to big data technology. Through big data technology, we can efficiently collect data and Internet information, realize efficient management of information, and establish a complete set of tax database. The research results of the article show the following. (1) We analyze the application status of big data technology and put forward the problems and solutions in data processing in our country. (2) Most financial managers of small and medium-sized enterprises are rather vague about the definition of taxation. Training in this area should be strengthened. Taking the industrial chain of Chinese enterprises as the survey object, the concept of taxation compliance and influencing factors have been elaborated, and a taxation respect model has been established. The investigation method can be analyzed through the model. (3) We established the coefficient of variation model with Pilka coefficient and found that the main business income has the highest correlation with the value-added tax payable and has the strongest linear relationship; the correlation between return on assets and value-added tax payable is the weakest, and there is a weak relationship. There is a strong negative correlation between sales profit margin and VAT payable (4) Taking a pharmaceutical company in our country as the subject of investigation, the company’s financial operating conditions have been studied for the past ten years, and it is concluded that the company’s main business income is increasing year by year, and the corresponding tax revenue is also increasing, and the tax growth rate is relatively unstable. Among them, the financial risk coefficient of corporate income tax is the largest.

The convergence of big data and accounting: innovative research opportunities

2021 ◽  
Vol 173 ◽  
pp. 121171
Author(s):  
Awad Elsayed Awad Ibrahim ◽  
Ahmed A. Elamer ◽  
Amr Nazieh Ezat
Keyword(s):  
Big Data ◽  
Research Opportunities ◽  
Innovative Research

Pedagogical Innovative Research Endeavor: Visualization of Streamed Big Data through Augmented Reality

2019 ◽  
Author(s):  
Sarah North ◽  
Monisha Verma ◽  
Sean Saffan ◽  
Victor Orellana ◽  
Matthew Alyward ◽  
...  
Keyword(s):  
Big Data ◽  
Augmented Reality ◽  
Innovative Research ◽  
Research Endeavor

Research on the Risk Characteristics and Regulation Paradigm of Internet Financial

2014 ◽  
Vol 687-691 ◽  
pp. 2011-2014
Author(s):  
Tian Xiong Liu
Keyword(s):  
Big Data ◽  
Financial Risk ◽  
Third Party ◽  
P2p Network ◽  
The Internet ◽  
Development Mode ◽  
Risk Characteristics ◽  
Internet Finance ◽  
Development Course ◽  
Financial Mode

Based on introducing the Internet finance and its development course, it combed the Internet finance related theory and analyzed the Internet financial P2P network model. The raised platform model has big data financial mode and third-party payment mode and development mode and puts forward the thinking of Internet financial risk and regulation.

scholarly journals Innovative Research on Teaching Method of Taekwondo in College Elective Courses under the Background of Big Data

2022 ◽  
Vol 2022 ◽  
pp. 1-7
Author(s):  
Yahui Chang ◽  
Su Meng ◽  
Hong Chao
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Teaching Methods ◽  
Teaching Method ◽  
Technological Revolution ◽  
The Core ◽  
Innovative Research ◽  
Core Technology ◽  
Research On Teaching ◽  
Elective Course

In the new stage of the new century, a new technological revolution is coming quietly. This revolution is represented by “data.” The application of “big data (B D A)” technology is causing changes in all walks of life, and the use of “B D A research methods” in the education field will inevitably become a trend. The purpose of this article is an innovative research on the teaching methods of Taekwondo based on the background of B D A in a college elective course. This paper first introduces the core technology of the database by summarizing the basic theory of the database. Based on the current situation of elective Taekwondo teaching in contemporary universities, analyze the current problems and deficiencies and conduct innovative research on college elective Taekwondo teaching methods combined with Beidou technology. This paper systematically expounds the practical connection, method innovation, and implementation path between BDA technology and college elective Taekwondo teaching methods and compares the traditional Taekwondo teaching methods based on BDA technology. Experimental research shows that compared with traditional Taekwondo teaching methods, the performance of university Taekwondo teaching based on data mining (D M I) in the context of B D A is more than 20% higher, which fully reflects its feasibility and the innovation of traditional Taekwondo teaching methods needs to be solved urgently.

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