scholarly journals Enterprise Financial Risk Management Using Information Fusion Technology and Big Data Mining

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Huabo Yue ◽  
Haojie Liao ◽  
Dong Li ◽  
Ling Chen
Keyword(s):  
Logistic Regression ◽  
Big Data ◽  
Information Fusion ◽  
Classification Accuracy ◽  
Financial Risk ◽  
Financial Risks ◽  
Fusion Technology ◽  
Financial Risk Management ◽  
Big Data Mining ◽  
Big Data Technology

This paper aims to study enterprise Financial Risk Management (FRM) through Big Data Mining (BDM) and explore effective FRM solutions by introducing information fusion technology. Specifically, big data technology, Support Vector Machine (SVM), Logistic regression, and information fusion approaches are employedto study the enterprise financial risks in-depth.Among them, the selection offinancial risk indexes has a great impact on the monitoring results of the SVM-based FRM model; the Logistic regression-based FRM model can efficientlyclassify financial risks; theinformation fusion-based FRM model uses a fusion algorithm to fuse different information sources. The results show that the SVM-based and Logistic regression-based FRM models can manage and classify enterprise financial risks effectively in practice, with a classification accuracy of 90.22% and 90.88%, respectively; by comparison, the information fusion-based FRM modelbeats SVM-based and Logistic regression-based FRM models by presenting a classification accuracy as high as 95.18%. Therefore, it is concluded that the information fusion-based FRM is better than the SVM-based and Logistic regression-based models; it can integrate and calculate multiple enterprise financial risk data from different sources and obtain higher accuracy; besides, big data technology can provide important research methods for enterprise financial risk problems; SVM-based FRM model and Logistic regression-based FRM model can well classify enterprise financial risks, with relatively high accuracy.

scholarly journals A Big Data Mining Approach of PSO-Based BP Neural Network for Financial Risk Management With IoT

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 154035-154043 ◽  
Author(s):  
Hangjun Zhou ◽  
Guang Sun ◽  
Sha Fu ◽  
Jing Liu ◽  
Xingxing Zhou ◽  
...  
Keyword(s):  
Neural Network ◽  
Data Mining ◽  
Risk Management ◽  
Big Data ◽  
Bp Neural Network ◽  
Financial Risk ◽  
Financial Risk Management ◽  
Big Data Mining ◽  
Data Mining Approach

FINANCIAL RISK MANAGEMENT IN ENTREPRENEURIAL ACTIVITY: CONCEPT, SYSTEM AND PRINCIPLE OF BUILDING

2020 ◽  
Vol 2 (4) ◽  
pp. 62-67
Author(s):  
M. M. KHAYTANOVA ◽  
Keyword(s):  
Risk Management ◽  
Financial Risk ◽  
Entrepreneurial Activity ◽  
Financial Risks ◽  
Study Methods ◽  
Financial Risk Management ◽  
Concept System

The article reveals: theoretical justifications of the concept of “financial risk” in relation to the sphere of entrepreneurship; methods for its identification and processing. Financial risk management is the activity of identification, assessment, control and monitoring of risks. In the course of the study, methods for managing financial risks in entrepreneurial activity and their classification were identified.

scholarly journals PARAMETRIZATION OF THE MECHANISM OF FINANCIAL RISK MANAGEMENT IN THE DIGITAL SECURITIES CIRCULATION

2019 ◽  
pp. 77-83
Author(s):  
Oleksandr Volodmyrovych Lutskevych ◽  
Keyword(s):  
Risk Management ◽  
Social Life ◽  
Financial Risk ◽  
State Regulation ◽  
Securities Market ◽  
Financial Risks ◽  
Negative Consequences ◽  
Management Mechanism ◽  
Financial Risk Management ◽  
The Impact

Urgency of the research. Digital technologies are transforming all spheres of social life, and the financial sphere is no exception. In general, such trends cannot but leave an imprint on approaches to managing the financial risk of digital securities. Target setting. Currently, scientific and methodological support for the formation of a mechanism for managing the financial risks of digital securities is in the early stages of development, while the quality of state regulation and supervision of participants in digital securities directly depends on the effectiveness of the current mechanism for managing such risks. Actual scientific researches and issues analysis. Theoretical and applied aspects of the securities market, features of the impact of financial innovations and financial risk management in the field of securities circulation, are researched by V. Bodrov [1], O. M. Kovaleva [2], I. V. Krasnova [3], N. V. Tkachenko [4], Yu. B. Kolupaeva [5] and others. Uninvestigated parts of general matters defining. The methodology of formation the mechanism for managing the financial risks of digital securities needs more precise research. The research objective. Deepening the scientific understanding of the term "financial risk management mechanism for the circulation of digital securities" will ensure to outline ways of increasing the efficiency of this financial instrument usage. The statement of basic materials. This article analyzes the essence of the term "financial risk management mechanism". The construction of the mechanism has been adapted to the specifics of digital securities risk management. Conclusions. The essence of the mechanism of financial risks management of digital securities circulation is improved due to application of a set of methods for identification, quantitative and qualitative analysis, measures to prevent realization and / or reduction of negative consequences of financial risks of digital securities circulation, ways of control over some events.

scholarly journals Dataset Modelling of the Financial Risk Management of Social Entrepreneurship in Emerging Economies

Risks ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 211
Author(s):  
Elena G. Popkova ◽  
Bruno S. Sergi
Keyword(s):  
Sustainable Development ◽  
Risk Management ◽  
Emerging Economies ◽  
Social Entrepreneurship ◽  
Financial Risk ◽  
Financial Risks ◽  
Financial Risk Management ◽  
Substantial Progress ◽  
The Stability ◽  
Commercial Entrepreneurship

The relevance of this study lies in the fact that financial risk is a serious obstacle to the development of social entrepreneurship, preventing the implementation of potential support for sustainable development goals in business. The purpose of this article is to clarify specific aspects of financing factors and financial risk related to social entrepreneurship in developing countries (in comparison with the standard financial risk related to commercial entrepreneurship) in order to analyze the influence of the financing factors of social entrepreneurship on sustainable development, as well as to determine the potential for the development of social entrepreneurship through financial risk management. To achieve this goal, this article uses the methodology of econometrics—dataset modelling of financial risk management in social entrepreneurship to achieve sustainable development in emerging economies. On the basis of the results of this study, firstly, it is substantiated that the financial risks entailed by social entrepreneurship differ from the standard financial risk present in commercial entrepreneurship. Specific factors of the financing of sustainable development in emerging economies are determined and, on the basis of this, financial risks specific to social entrepreneurship in emerging economies are identified as follows: (1) reduced stimulus to use financial resources in long-term investments, which disrupts the stability and decreases inclusion; (2) joint public–private investments and decreased investment in R&D; and (3) expanded investment in the skills required for jobs and “markets of tomorrow”. Secondly, a contradictory influence of financing factors on sustainable development is demonstrated. Thirdly, a large potential for the development of social entrepreneurship by means of financial risk management (maximum reduction) was identified. With the minimization of financial risk, social entrepreneurship would demonstrate substantial progress, with an increase of 99.61% (more than 50%) from 45.18 points to 90.18 points. A novel contribution of this paper to the extant literature consists of the specification of the essence and specifics of social entrepreneurship in emerging economies through the identification of financial risks and the provision of recommendations for their management.

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.

Financial Risk Management

2016 ◽  
pp. 301-311
Author(s):  
Mirela-Madalina Stoian ◽  
Rares-Gabriel Stoian
Keyword(s):  
Risk Management ◽  
Credit Risk ◽  
Financial Markets ◽  
Financial Risk ◽  
Liquidity Risk ◽  
Financial Risks ◽  
Basic Principles ◽  
Financial Risk Management ◽  
Management Framework ◽  
Risk Management Framework

The present paper intends to serve as an introduction into the financial risk management universe. It starts with the basic assumption that performance of an organization is inseparable from the risks it is facing. Any organization should have in place the necessary tools to identify, assess and constantly measure the risks it is exposed to. The paper focuses in defining the basic principles in creating a viable risk management framework that keeps track of three major categories of identified financial risks: market risk, credit risk and liquidity risk. Emphasis is put on the models to measure these types of risks but also on the tools an organization can use in order to reduce them. The second part of the paper is dedicated to recent events that shaped and shocked financial markets and illustrate the consequences faced by organizations when risks are not properly assessed and the risk management models in place are based on dangerously unrealistic notions.

THE METHODOLOGICAL VALUE OF THE CLASSIFICATION IN THE COMPANY FINANCIAL RISK MANAGEMENT SYSTEM

2020 ◽  
Author(s):  
A.A. Fathulin ◽  
N. A. Fathulina ◽  
S. N. Basova
Keyword(s):  
Risk Management ◽  
Management System ◽  
Financial Risk ◽  
Methodological Approach ◽  
Financial Risks ◽  
Risk And Uncertainty ◽  
Financial Risk Management ◽  
Risk Management System

The complexity of understanding the nature of risks, as well as the diversity of their types and manifestations, including financial risks, requires the use of a methodological approach to their classification. Classification of financial risks is of particular importance in the company's activities in order to effectively manage them. The article analyzes the concepts of "risk" and "uncertainty", and provides risk classifications for various reasons. It is concluded that it is possible to control and manage risks through comprehensive accounting and, accordingly, prevention of various types of threats and uncertainties in the company's activities.

scholarly journals Knowledge is power – conceptualizing collaborative financial risk assessment

2019 ◽  
Vol 20 (3) ◽  
pp. 226-248 ◽  
Author(s):  
Thomas Michael Brunner-Kirchmair ◽  
Melanie Wiener
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Financial Risk ◽  
Risk Identification ◽  
Modern World ◽  
Risk Governance ◽  
Financial Risks ◽  
Financial Risk Management ◽  
Content Type ◽  
New Findings

Purpose Inspired by new findings on and perceptions of risk governance, such as the necessity of taking a broader perspective in coping with risks in companies and working together in interactive groups with various stakeholders to deal with complex risks in the modern world, the purpose of this paper is looking for new ways to deal with financial risks. Current methods dealing with those risks are confronted with the problems of being primarily based on past data and experience, neglecting the need for objectivity, focusing on the short-term future and disregarding the interconnectedness of different financial risk categories. Design/methodology/approach A literature review of risk governance, financial risk management and open foresight was executed to conceptualize solutions to the mentioned-above problems. Findings Collaborative financial risk assessment (CFRA) is a promising approach in financial risk governance with respect to overcoming said problems. It is a method of risk identification and assessment, which combines aspects of “open foresight” and the financial risk management and governance literature. CFRA is characterized as bringing together members of different companies in trying to detect weak signals and trends to gain knowledge about the future, which helps companies to reduce financial risks and increase the chance of gaining economic value. By overcoming organizational boundaries, individual companies may gain the knowledge they would probably not have without CFRA and achieve a competitive advantage. Research limitations/implications A conceptual paper like the one at hand wants empirical proof. Therefore, the authors developed a research agenda in the form of five propositions for further research. Originality/value This paper discusses the existing problems of financial risk identification and assessment methods. It contributes to the existing literature by proposing CFRA as a solution to those problems and adding a new perspective to financial risk governance.

scholarly journals Editorial for Special Issue “Finance, Financial Risk Management and their Applications”

2018 ◽  
Vol 6 (4) ◽  
pp. 83
Author(s):  
Keyword(s):  
Risk Management ◽  
Financial Risk ◽  
Financial Risks ◽  
Special Issue ◽  
Financial Risk Management

We are pleased to announce the Special Issue on the Finance, Financial Risk Management and their Applications in the International Journal of Financial Studies. This Special Issue collects papers pertaining to several lines of research related to finance and financial risks. This Guest Editor’s note synthesizes the contributing authors’ propositions and findings regarding these developments and hopes that new areas can be opened for future researches.

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