scholarly journals BUSINESS ANALYTICS IN FINANCIAL RISK MANAGEMENT

2021 ◽  
Author(s):  
Olena Steshenko ◽  
Yuliia Bondarenko
Keyword(s):  
Risk Management ◽  
Management System ◽  
Financial Risk ◽  
Active Management ◽  
Business Analytics ◽  
Forward Contracts ◽  
Management Tools ◽  
Financial Risk Management ◽  
Risk Management Process ◽  
Artificial Intelligence Models

The article examines the definition of the category "risk" in the works by domestic scientists. Financial risk management in the company management system is considered. Its basic principles and postulates are established. Risk management is defined as the process of identifying, analysing, and making or reducing uncertainty in making investment decisions. Approaches to the formation of modern strategies and tactics of risk management are generalized. The sequence of stages, which most fully reflects the essence of the risk management process, is presented. The main stages of financial risk management are characterized and their functional significance is determined. It is established that the main direction for improving the management system is the deve-lopment and implementation of active management based on systemic and situational approaches. To choose the optimal tactics for managing financial risks, it is advisable to classify them into industry and quality. The strategies for financial risk management of modern business are generalized in two categories: passive and active response. The use of integrated approaches and new business concepts for efficient financial risk management is substantiated. The main means of reducing financial risk are identified, namely insurance and sale of financial instruments (forward contracts, futures contracts, swaps and options). The main elements of using business analytics tools are considered and analysed. It is noted that most business analytics tools are used to improve risk management; therefore, risk management tools benefit from business analytics approaches. The use of artificial intelligence models, such as neural networks and the method of reference vectors, agent-oriented theory, cognitive computation, is characterized. The proposed approach is aimed at combining several expert solutions, achieving the highest return on investment and reducing losses by working with difficult situations in a dynamic market environment. It is proved that researching business analytics tools in the field of risk management is useful for both practitioners and academic researchers.

scholarly journals FINANCIAL RISK MANAGEMENT- A COMPARATIVE STUDY BETWEEN IRANIAN BANKS

2016 ◽  
Vol 4 (12) ◽  
pp. 17-23
Author(s):  
Mojtaba Mortezaee ◽  
Davoud Sanji
Keyword(s):  
Risk Management ◽  
Financial Risk ◽  
Interest Rate Risk ◽  
Shareholder Wealth ◽  
Risk Capital ◽  
Management Tools ◽  
Financial Risk Management ◽  
Return On Equity ◽  
Meaningful Relationship ◽  
Public Banks

Undoubtedly financial risk management due to its high impact on stockholders wealth is always considering by Banks. Risk management methods and its accomplishment leads to shareholder consent or dissatisfaction. Present research, examine this issue by three instruments of Financial risk management includes interest rate risk, capital risk and risk of natural hedging. Thus, the main problem in this content is to some extent financial risk management methods can effect on stockholders’ wealth. We separate banks into private sector and public sector and examine hypothesis for each group by regression models. Return on Equity (ROE) changes is a reliable criterion for shareholders wealth. Results show that public banks are more successful in using risk management tools in compared with private banks. In other word, we have found more meaningful relationship between financial risk management tools and shareholder wealth in public banks.

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 Financial Risk Management

2017 ◽  
Vol 22 (4) ◽  
pp. 276-280
Author(s):  
Soňa Jirásková
Keyword(s):  
Risk Management ◽  
Financial Management ◽  
Financial Risk ◽  
Slovak Republic ◽  
Management Process ◽  
Negative Consequences ◽  
Financial Risk Management ◽  
Risk Management Process

Abstract This paper analyses financial risk management at the Ministry of Defence of the Slovak Republic. In its first part, the author defines the basic terms related to risk management, explains the negative consequences of risks and points to the importance of financial risk management. The second part of the paper is concerned with the risk management process at the Ministry of Defence of the Slovak Republic relating to financial management.

The Global Organizational Behavior Analysis for Financial Risk Management Utilizing Artificial Intelligence

2022 ◽  
Vol 30 (7) ◽  
pp. 0-0
Keyword(s):  
Artificial Intelligence ◽  
Risk Management ◽  
Organizational Behavior ◽  
Management System ◽  
Financial Risk ◽  
Economic Research ◽  
Research Database ◽  
Financial Risk Management ◽  
Risk Management System ◽  
Extreme Gradient Boosting

Enterprise financial risks are analyzed utilizing the theory of organizational behavior, and a financial risk management system is constructed to improve the design and algorithm of the enterprise risk management system. Base on the CCER (China Center for Economic Research) database, the early warning model for enterprise financial risk management containing five indices is proposed for enterprises. Through Logistic regression analysis, the design principle of the financial risk management system based on AI (Artificial Intelligence) technology is explained. The proposed system innovatively introduces the AI integrated learning method, optimizes objective function through XGBoost (eXtreme Gradient Boosting) algorithm, and trains the model through BP (Backpropagation) NN (Neural Network). Finally, following comparative analysis, the effectiveness of the proposed method is verified.

GLOBAL RISK FACTORS

2006 ◽  
Vol 7 (1) ◽  
pp. 25-28
Author(s):  
Mikhail A. Rogov
Keyword(s):  
Risk Factors ◽  
Risk Management ◽  
Geomagnetic Activity ◽  
Financial Risk ◽  
Solar Cycles ◽  
Global Risk ◽  
Management Tools ◽  
Financial Risk Management ◽  
History Of

The paper deals with a problem of solar and geomagnetic activity as global risk factors in financial risk management. The history of the idea of solar – earth relations is rather long (Hershel, 1804; Jevans, 1870 – Theory of Solar cycles, Chizhevsky, 1920 ‐ Theory of Heliotaraxy; Collins, 1965 etc.), but financial risk management does not use these facts really and this paper may help to demonstrate some new risk management tools based on new results of the author's studies (Rogov 2003).

Visualization Interface and Integration Technology of Grid Information Based on Computer Database Principle

2014 ◽  
Vol 608-609 ◽  
pp. 575-579
Author(s):  
Yang You Zhang ◽  
Lin Zhang
Keyword(s):  
Risk Management ◽  
Electric Power ◽  
Financial Management ◽  
Management System ◽  
Financial Risk ◽  
Financial Risk Management ◽  
Short Period ◽  
Power Enterprise ◽  
Financial Management System ◽  
Electric Power Enterprise

Access can be used to develop a variety of software applications, such as financial management, sales management, financial management system, which has the advantages of simple operation, Even if the non computer professionals can master in a short period of time, and it can meet the development in many fields. In this paper, based on the option management, we establish the options financial risk management model of power enterprise, combined with MySQL database tools, and design financial risk management system of the electric power enterprise. The system has a visual interface, and the user can query and do risk prediction quickly through visualization window, which greatly improves the efficiency of financial risk management for electric power enterprise. It provides a new method for the application of computer in enterprise risk management.

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