Technologies of financial flows sustainable management of the Russian banking sector

2021 ◽  
Vol 27 (6) ◽  
pp. 1334-1355
Author(s):  
Aleksei A. KONYAEV
Keyword(s):  
Risk Management ◽  
Sustainable Management ◽  
Banking Sector ◽  
Regulatory Requirements ◽  
Financial Flows ◽  
Evaluation Systems ◽  
Regulatory Burden ◽  
Post Evaluation ◽  
Rational Allocation ◽  
Dynamic Analyses

Subject. This article deals with the issues of rational allocation and management of macro-financial flows of the banking sector. Objectives. The article aims to interpret technologies of sustainable management of financial flows of the banking sector. Methods. For the study, I used post evaluation, systems, functional and structural, evolutionary, and dynamic analyses, and the techniques of observation, classification, grouping, sampling, comparison, and generalization. Conclusions and Relevance. To manage the macro-financial flows of the banking sector, financial technologies should be used both within the banking sector and cooperation between the sector and the Bank of Russia, and different sectors of the economy. The introduction of financial technologies will help the banking sector manage macro-financial flows in a sustainable manner, reduce regulatory burden and improve the efficiency of compliance with the Bank of Russia's regulatory requirements, and risk management.

scholarly journals Building Vulnerability Predictive Indicator for the Banking Sector

2020 ◽  
Vol 9 (3) ◽  
pp. 01-14
Author(s):  
Maria Afreen
Keyword(s):  
Risk Management ◽  
Business Strategy ◽  
Banking Sector ◽  
Risk Measures ◽  
Banking System ◽  
Capital Adequacy ◽  
Building Vulnerability ◽  
Regulatory Requirements ◽  
Return On Equity ◽  
Economic Vulnerability

Abstract For risk and capital measurement, banks and other financial institutions need to meet forthcoming regulatory requirements. However, it is a serious issue to think that meeting regulatory requirements is the sole or even the most important reason for establishing a scientific, sound risk management system. To direct capital to activities with the best risk/reward ratios, managers need reliable risk measures. To stay within the limits imposed by readily available liquidity, by creditors, customers, and regulators, they need estimates of the size of potential losses. They need mechanisms to monitor positions and create incentives for prudent risk-taking by divisions and individuals. Risk measurement deals with the quantification of risk exposures, whereas risk management refers to the overall process by which managers satisfy these needs and follows to define a business strategy, to detect the risks to which are visible, quantifying those risks, and to control and understand the nature of the risks it faces. This research focuses on the economic vulnerability faced by banks in the financial sector in terms of the crises issues perspective of economic distress. Here, the methodology followed is based on the CAMELS framework variables. CAMELS is an abbreviation for: capital adequacy (C), asset (A), management (M), earnings (E), liquidity (L) and sensitivity to market risk (S). Based on these terminologies, a couple of variables should be selected, such as capital asset ratio, non-performing loan, cost income ratio, industry production index, non-interest income, reserve of gold, inflation, stock turnover ratio, real interest rate as component series and return on equity (RoE) as reference series to identify the turning points of economic vulnerability in the banking sector in Bangladesh. Thus, by forecasting the directional changes it could make policymakers aware of changes in the financial markets and banking economy and allow them to undertake preventive steps for remedial purposes. The constructed MPI should have a remarkable lead time of about not less than 6 months on average in case of prediction against the leading for reference Series.By mending the financial efficacy of investment banks. Bangladesh also should improve their corresponding banking system to implement these suggestions.  

scholarly journals How Can Enterprise Risk Management Help in Evaluating the Operational Risks for a Telecommunications Company?

2021 ◽  
Vol 14 (3) ◽  
pp. 139
Author(s):  
José Ruiz-Canela López
Keyword(s):  
Risk Management ◽  
Banking Sector ◽  
Operational Risk ◽  
Field Work ◽  
Risk Identification ◽  
Enterprise Risk Management ◽  
Management Tool ◽  
Self Assessment ◽  
Operational Risks ◽  
Enterprise Risk

Operational risk is defined as the potential losses resulting from events caused by inadequate or failed processes, people, equipment, and systems or from external events. One of the most important challenges for the management of the company is to improve its results through its operational risk identification and evaluation. Most of Enterprise Risk Management (ERM) scholarship has roots in the finance/risk management and insurance (RMI) discipline, mainly in the banking sector. This study proposes an innovative operational risk assessment methodology (OpRAM), to evaluate operational risks focused on telecommunications companies (TELCOs), on the basis of an operational risk self-assessment (OpRSA) process and method. The OpRSA process evaluates operational risks through a quantitative analysis of estimates which inputs are the economic impact and the probability of occurrence of events. The OpRSA method is the “engine” for calculating the economic risk impact, applying actuarial techniques, which allow estimation of unexpected losses and expected losses distributions in a TELCO. The results of the analyzed business unit in the field work were compared with standardized ratings (acceptable, manageable, critical, or catastrophic), and contrasted against the company’s managers, proving that the OpRSA framework is a reliable and useful management tool for the business, and leading to more research in other sectors where operational risk management is key for the company success.

Enterprise risk management and sustainability of banks performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Babajide Oyewo
Keyword(s):  
Risk Management ◽  
Banking Sector ◽  
Management Practice ◽  
Enterprise Risk Management ◽  
Annual Reports ◽  
Banking Reform ◽  
Content Type ◽  
Enterprise Risk ◽  
The Impact

PurposeThis study investigates firm attributes (namely level of capitalisation, scope of operation, organisational structure, organisational lifecycle, systemic importance and size) affecting the robustness of enterprise risk management (ERM) practice, the extent to which ERM affects the performance of banks and the impact of ERM on the long-term sustainability of banks in Nigeria. This was against the backdrop that the 2012 banking reform was a major regulatory intervention that mainstreamed ERM in the Nigerian banking sector.Design/methodology/approachThe study employed a mixed methodology of content, trend and quantitative analyses. Ex post facto research design was deployed to analyse performance differential of banks, with respect to the implementation of ERM, over a 10-year period (2008–2017). A disclosure checklist developed from the COSO ERM integrated framework was used to assess the robustness of ERM by content-analysing divulgence on risk management in published annual reports. The banking reform periods were dichotomised into pre- (2008–2012) and post- (2013–2017) reform periods. Jonckheere–Terpstra test, independent sample t-test and Mann–Whitney test were applied to analyse a total of 1,036 firm-year observations over the period 2008–2017.FindingsResult shows that bank attributes significantly affecting the robustness of risk management practice are level of capitalisation, scope of operation, systemic importance and size. Performance of banks improved slightly during the post-2012 banking reform period. This suggests that as banks consolidate on the gains of ERM, benefits of the regulatory policy on risk management may be realised in the long run. Result also shows that ERM enhances long-term performance, connoting that effective risk management could serve as a competitive strategy for surviving turbulence that typically characterises the banking sector.Practical implicationsThe emergence of level of capitalisation, scope of operation, systemic importance and size as determinants of ERM provides empirical evidence to support the practice of reviewing the capital requirements for banking business from time to time by regulatory authorities (i.e. recapitalisation policy) as a strategy for managing systemic risk. Top management of banks may consider instituting mechanisms that will ensure risk management is given prominence. A proactive approach must be taken to convert risks to opportunities by banks and other financial institutions, going forward, to cope with the vicissitudes of financial intermediation.Originality/valueThe originality of the study stems from the consideration that it provides some new insights into the impact of ERM on banks long-term sustainability in a developing country. The study also contributes to knowledge by exposing the factors determining the robustness of risk management practice. The study developed a checklist for assessing ERM practice from annual reports and other risk management disclosure documents. The paper also adds to the scarce literature on risk governance and risk management.

Research on risk management of medical and health care integration projects based on fuzzy WINGS-G1

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yu Zhang ◽  
Lan Xu
Keyword(s):  
Risk Factors ◽  
Health Care ◽  
Risk Management ◽  
Fuzzy Theory ◽  
Dynamic Nature ◽  
Content Type ◽  
Care Integration ◽  
Rational Allocation ◽  
Control And Prevention ◽  
Risk Potential

PurposeThis study establishes a risk management system for medical and health care integration projects to address the problem of high-risk potential and a strong correlation between risk factors.Design/methodology/approachA new fuzzy WINGS-G1 model for identifying key risk factors in medical and health care integration projects is proposed by introducing the fuzzy theory and the concept of risk incidence into the Weighted Influence Non-linear Gauge System (WINGS) method.FindingsThe authors analyze the fluidity of project risk factors through complex networks to control direct risks and cut off risk transmission paths to provide a reference for risk control and prevention of medical and health care integration projects.Originality/value(1) The integration of fuzzy theory into the WINGS method solves the problem of strong subjectivity of expert scoring in the traditional WINGS method; (2) By the different probabilities of risk factors, the concept of risk incidence is introduced in the WINGS model, which is more conducive to the identification of the critical risk factors and the rational allocation and utilization of organizational resources; (3) The use of the complex network for risk interactivity analysis fully reflects the dynamic nature of risk factors in medical and health care integration projects.

scholarly journals Enterprise Risk Management in Kosovo’s Banking Sector

2017 ◽  
Vol 5 (1) ◽  
pp. 38-50
Author(s):  
Arbana Sahiti ◽  
Arben Sahiti ◽  
Muhamet Aliu
Keyword(s):  
Risk Management ◽  
Financial Reporting ◽  
Banking Sector ◽  
Vital Role ◽  
Main Role ◽  
Financial Industry ◽  
Telephone Interviews ◽  
Enterprise Risk ◽  
Banking Business ◽  
Post War

Abstract Today risk management plays a vital role in business. Each firm, whether big or small, makes an effort to manage risk more effectively. Risk management is very important in the financial system, especially in banks. Billions of Euros are spent each year on the financial reporting of banks. Banks should implement effective solutions in risk management to mitigate their risks. Great financial debate that originated in the 1990s is reportedly linked to errors that occurred in the banking sector due to poor risk management. It should be noted that today technology plays a key role in risk management and it has already had a positive effect on the financial industry. Analysis of risk and its management has become significant in the Kosovo economy since the post-war period. The nature of the banking business is threatened by risks because more financial products are becoming complicated. The main role of banks is intermediation between those who have resources and those seeking them. Banks face various risks at the corporate level, such as operational, liquidity, legal, credit, and market risks; thus, these risks should be converted into a composite measure. This research aims to determine practices and effects of risk management in the banking sector. Relevant data were collected from banks through questionnaires and telephone interviews; analysis has been conducted using statistical tools. This study will engage both the quantitative and qualitative methods of data analysis. Dependent variables will be separated from independent variables, and regression analysis will be used to analyse the quantitative data.

scholarly journals Improved forecast assessment for the expected credit losses in credit risk monitoring in commercial banks in the context of international and Russian practices

2020 ◽  
Vol 15 (3) ◽  
pp. 445-457
Author(s):  
Elena Vladimirovna Travkina ◽  
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Credit Risk ◽  
Commercial Banks ◽  
Banking Sector ◽  
Assessment Model ◽  
Financial Instruments ◽  
Credit Risk Assessment ◽  
Ifrs 9 ◽  
Credit Losses

Current banking sector’s performance raises the issues connected with the IFRS 9 Financial Instruments driven transformation of the forecast assessment for the expected credit losses during monitoring and credit risk assessment in commercial banks. In this regard, it becomes important to conduct a comprehensive systematization of the existing Russian and international practices for monitoring and evaluating credit risk in commercial banks. The purpose of the study is to develop a comprehensive approach to the use of an effective model for the impairment of expected losses in banking activities. The novelty of the study includes the enhancement of the tools for the forecast assessment of the expected credit losses among the commercial banks’ clients to improve the credit risk management efficiency. The results from the implementation of IFRS 9 Financial Instruments in the banking area show that modern conditions maintain the uncertainty of the long-term impact of the credit risk on the commercial banks’ performance. What is more, a huge amount of additional information gives significant difficulties, which contributes into the sophisticated calculations of the future credit losses of the banks. It has been justified that a forecast assessment model for the expected credit losses of the clients during the monitoring and bank’s credit risk assessment should be based on the collective or individual ground. The efficient application of the expected losses impairment in the banking performance has been described as a fundamental tool to simulate the expected credit losses to provision for impairment. This model has been shown to be determined by the features of the credit activities and bank portfolio, types of its financial tools, sources of the available information, as well as the applied IT systems. The proposed model validation algorithm for the expected impairment losses could reduce the expected credit losses, decrease the volume of the created assessed reserves, as well as improve the overall commercial bank performance efficiency. Theoretically, the study develops the credit losses risk management in the context of the transformations in the global and Russian banking practices. From the perspective of the practical value, the research gives an opportunity to create an efficient forecast assessment model for the expected credit losses of the commercial banks’ clients, this model contributing into the cost effectiveness of the bank’s credit activities. A promising further research is considered to be aimed at developing the tools for the assessment of the commercial banks’ credit activity results in the context of the adopted changes connected with the introduction of IFRS 9 Financial Instruments in the Russian banking sector.

Fundamental review of the trading book: state of art on implementation of Standardised Approach

2021 ◽  
Vol 16 (2) ◽  
pp. 10-20
Author(s):  
Nicoletta Figurelli ◽  
◽  
Carlo Frazzei ◽  
Alessandro Garufi ◽  
Tommaso Giordani ◽  
...  
Keyword(s):  
Risk Management ◽  
Best Practices ◽  
Financial Institutions ◽  
Regulatory Framework ◽  
Regulatory Requirements ◽  
Basel Committee ◽  
Key Points ◽  
Front Office ◽  
State Of Art ◽  
The Eu

Following the publication of the regulatory framework for the Fundamental Review of the Trading Book (FRTB) by both the Basel Committee (BCBS) and the EU Regulator, the Financial Institutions have started the mandatory actions to comply with the new regulatory requirements. This article aims to provide an overview of the key challenges that banks have had to face in recent years, with a particular focus on the most significant methodological key points and the main impacts on business from the technicalities of the new regulatory framework, in order to provide guidelines and best practices on Standardized Approach (SA) topics shared between Risk Management and Front Office

The Influence of Risk Management, Third-Party Funds and Capital Structure on Banking Sector Financial Performance in Indonesia and Thailand with Corporate Governance as Moderating Variable in 2015-2019

2021 ◽  
pp. 71-80
Author(s):  
Nurtika Ekawati ◽  
◽  
Unggul Purwohedi ◽  
Ari Warokka ◽  
◽  
...  
Keyword(s):  
Risk Management ◽  
Corporate Governance ◽  
Capital Structure ◽  
Financial Performance ◽  
Banking Sector ◽  
Stock Exchange ◽  
Partial Least Square ◽  
Third Party ◽  
Return On Assets ◽  
Study Results

The banking sector plays an important role in the country's economic growth. International experience shows that a weak banking sector not only threatens the long-term stability of a country's economy. It can also cause a financial crisis which can lead to economic crisis. Therefore, it is important to identify and investigate the factors on which the financial performance of banks depends. The purpose of this study is to analyze the influence of risk management, third-party funds and capital structure on banking sector financial performance in Indonesia and Thailand with corporate governance as moderating variable. The authors use return on assets (ROA) as the key indicator of bank efficiency. The data used in this study are secondary data, including nonperforming loan (NPL), loan-to-deposit ratio (LDR), operating expenses to operating income (BOPO), net interest margin (NIM), third party funds (TPF), debt-to-equity ratio (DER), return on assets (ROA), corporate governance. The data was obtained from the official website of the Indonesia Stock Exchange (www.idx.co.id) and the Thai Stock Exchange (www.set.or.th). The sample used in this study is 20 conventional banks listed on the Indonesia and Thailand Stock Exchange from 2015-2019. The methodological basis of this study is the use of the Structural Equation Model (SEM) with Partial Least Square (PLS). Data processing was performed in the WarpPLS 7.0 software. The study results show that NPL and LDR have a negative and significant influence on the financial performance of banks. At the same time, the BOPO and DER do not affect the financial performance of banks. The NIM and TPF have a significant and positive influence on the bank's financial performance. In addition, corporate governance does not moderate risk management relationship to the bank's financial performance. The results of this study can benefit bank shareholders and customers, and bank management.

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