Theoretical Aspects of Risk Management Models in Economics, Marketing, Finance and Accounting

Косова, Тетяна; Smerichevskyi, Serhii; Ivashchenko, Alla; Radchenko, Hanna

doi:10.18371/fcaptp.v3i38.237474

Cited by 3 publications

(2 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The initialization under each mode is more accurate than the traditional risk evaluation and plays an important role in loan decisionmaking. Literature [24] uses the investment decision support and risk control system integrating computer network technology, modern analysis methods, and advanced decisionmaking models to make investment decisions, quantify, and quantitatively analyze various influencing factors, so as to obtain the decision of whether to invest, realize the realtime processing and online service of bank credit and investment business, and make the effectiveness of investment decisions. Rationality, scientificity, and accuracy have been greatly improved.…”

Section: Literature Reviewmentioning

confidence: 99%

Risk Management Analysis of Modern Commercial Banks Using Behavioral Finance Theory and Artificial Neural Networks

Piao

Xiao

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

With the increasing trend of economic globalization, China’s pace of promoting interest rate marketization is gradually accelerating, and financial market volatility is increasing day by day. Credit risk is at an all-time high for commercial banks. The most significant risk that banks face is credit risk. The methods and technologies of commercial bank risk management have improved with the accelerating process of financial globalization, but the rationality of risk managers who implement daily management is limited and will be influenced by emotion and will. As a result, they will be unable to implement completely unbiased risk management, i.e., they will not be able to apply risk management objectives to daily risk management in an optimal manner. The importance and measurement complexity of commercial bank credit risk is growing in tandem with the financial market’s increasing complexity. The traditional credit risk assessment model is no longer adequate to meet the requirements of today’s financial risk management system. The research into the credit risk assessment model is both theoretically and practically significant.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Risk Management Analysis of Modern Commercial Banks Using Behavioral Finance Theory and Artificial Neural Networks

Piao

Xiao

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…The models for assessing credit risks as a particular case of the models of risk management are studied by Т. Kosova et al (2021). They formalized the content and the purpose, requirements for the information base and the methods for their construction, approaches for their description, practical application, and validation.…”

Section: Introductionmentioning

confidence: 99%

Credit Risk Management: Marketing Segmentation, Modeling, Accounting, Analysis and Audit

Косова¹,

SMERICHEVSKYI²,

YAROSHEVSKA³

et al. 2022

Scientific Horizons

View full text Add to dashboard Cite

The relevance of the research is determined by the urgency of implementing the systems of credit risk management in bank activities based on the international accounting and reporting standards. The high level of complexity of the mentioned problem is related to a significant number of credit market segments and a variety of credit forms. The aim of the research paper is to identify the risk level of individual segments in the loan portfolio at the microeconomic level taking into account macroeconomic factors. The research methods used to identify the credit risk are migration matrices, nonlinear approximation, correlation-regression analysis, statistical distributions, and forecasting. The main research results are as follows: credit segmentation of the loan portfolio was performed, a matrix of credit risk sources was constructed, default probability and default losses were quantified to reflect the expected credit losses in accounting, and the audit of construction of credit risk models was performed. The significance of the research results is determined by the possibility to measure the factors of non-stable macroeconomic situation in Ukraine while estimating the risks of functioning of banking establishments. The proposed approaches to solving the problem of credit risk management allow decreasing the volume of non-operating credits and increasing the profitability of the loan portfolio of a bank. It can be considered that the merits of the research are determining the causal relations between the separate components of credit risk, which can be effectively used to neutralize and decrease them. The emphasis was made on the tools of credit risk management represented by marketing segmentation, modeling, accounting, analysis, and audit. The prospects of further studies include clarification of the methodical approaches to credit risk management in part of the separate market segments

show abstract

Bankruptcy Diagnosis as the Element of Strategic Management of the Enterprises Marketing Activity

et al. 2022

View full text Add to dashboard Cite

Abstract. The article is aimed at the forming approaches for the estimated probability of bankruptcy in the system of strategic management of marketing activity which serves as a tool for coordinating production and distribution of goods and services based on the customer needs, market characteristics and the development of practical measures to meet identified needs. It is proved that strategic management of marketing activity is the difficult task because it is necessary to achieve a dynamic balance between environmental factors and internal resources of the enterprise. The proposed analytical and applied support for the estimated probability of bankruptcy in the system of strategic management of marketing activity is based on the use of diagnostic expert systems that make it possible to formulate reasonable conclusions, to implement the necessary procedures aimed at the obtaining answers, to obtain the generalized results of analysis and to assess the probability of bankruptcy in a convenient form. It is substantiated the procedure for the estimated probability of bankruptcy in the context of strategic management of marketing activity providing for the formation of a set of indicators based on the selected criteria characterizing the state of the enterprise as a whole and the level of marketing activity. It is established the membership functions of the fuzzy value of the indicator to the previously introduced term-sets of the levels of the probability of bankruptcy. The results of calculating membership functions for each of the selected indicators made it possible to obtain the objective result of the estimated probability of the enterprise bankruptcy according to the selected system of indicators grouped by the activity areas in conditions of uncertainty and variability of the external environment for the current and future periods. The proposed approach for the estimated probability of the enterprise bankruptcy based on the regression mechanism of inference serves as the basis for the production of strategic management influences aimed at the stabilizing the financial condition of the enterprise by harmonizing production and sales activities in the context of marketing activity. Further areas of researches are the formation of a mechanism for strategic management of the enterprise marketing activity based on the implementation of the marketing concept in the context of the need to adapt to changing environmental conditions and consumer needs. Keywords: management, strategic management, marketing, marketing activity, bankruptcy, estimated probability of bankruptcy. JEL Classification G21, J31 Formulas: 0; fig.: 3; tabl.: 5; bibl.: 21.

show abstract

Theoretical Aspects of Risk Management Models in Economics, Marketing, Finance and Accounting

Cited by 3 publications

References 10 publications

Risk Management Analysis of Modern Commercial Banks Using Behavioral Finance Theory and Artificial Neural Networks

Risk Management Analysis of Modern Commercial Banks Using Behavioral Finance Theory and Artificial Neural Networks

Credit Risk Management: Marketing Segmentation, Modeling, Accounting, Analysis and Audit

Bankruptcy Diagnosis as the Element of Strategic Management of the Enterprises Marketing Activity

Contact Info

Product

Resources

About