scholarly journals Operational Risk Management in Financial Institutions: An Overview

2018 ◽  
Vol 8 (2) ◽  
pp. 11 ◽  
Author(s):  
Abdullah Aloqab ◽  
Farouk Alobaidi ◽  
Bassam Raweh

After the 2008 financial crisis, many attributed the crisis due to the inability of financial risks to manage operational risks. The period during and after 2008 was critical in providing insight on how vital operational risk management is essential to financial institutions and how best these risks can be managed. The study begins with an overview of the concept of risk and BASEL I, II and III and how they apply to financial institutions. Further, the paper discusses the growing need for operational risk management in the context of financial institutions taking into considerations various models and approaches used in the management of financial risks. Moreover, several pieces of literature discussed operational risks in the financial institutions. The paper also looks at the various methods of operational risk identification and management before concluding that for better management of operational risks in banks, there is the need to comply with both the national and international regulations and procedures.

2007 ◽  
Vol 12 (4) ◽  
pp. 321-330 ◽  
Author(s):  
B. Di Renzo ◽  
M. Hillairet ◽  
M. Picard ◽  
A. Rifaut ◽  
C. Bernard ◽  
...  

2021 ◽  
Vol 14 (3) ◽  
pp. 139
Author(s):  
José Ruiz-Canela López

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.


2008 ◽  
Vol 5 (3) ◽  
pp. 34-46
Author(s):  
Jackie Young

Operational risk management is one of the fastest growing management disciplines within a banking environment as a result of various disastrous international incidents. Subsequently, various global institutions got involved in order to ensure that the effect of similar events do not negatively influence the international industries, for example, the Basel Committee on Banking Supervision regarding banks. It is, however, a known fact that operational risks are difficult to manage, as it is not easy to quantify. Therefore, it is of the utmost importance to understand the concept of operational risk management and, more specifically, the actual roles and responsibilities of various role-players within an organisation. This paper aims to identify the main role-players involved in the management of operational risk in a banking environment and to identify their specific roles and responsibilities


2018 ◽  
Vol 7 (4.36) ◽  
pp. 524
Author(s):  
I. I.Vasiliev ◽  
P. A. Smelov ◽  
N. V. Klimovskih ◽  
M. G. Shevashkevich ◽  
E. N. Donskaya

The existing financial and economic situation in the world and in Russia impacts the activities of all sectors of the economy, including posing challenges for banks. In the conditions of prolonged instability, the banking community has to pay great attention to the risks taken and to manage them. Among all the risks that the bank is exposed to, operational risks represent a separate group due to its specifics, a lack of a systematic approach to analysis and a lack of identification criteria requiring more detailed study. The operational risk is unique in that, although it affects virtually all areas of the credit institution, it is difficult to establish and separate it from other bank risks. It should be noted that every year there appear all new types of operational risk that have a strong impact on the activities of the credit institution due to the development of information and computer systems, the complication of the instruments of the stock market and the improvement of business methods. Therefore, regulators of all countries try to constantly improve the regulatory framework related to the management of the operational risk of a commercial bank, based on the recommendations given by the Basel Committee on Banking Supervision.The article is aimed at developing an effective system for managing the operational risk of a commercial bank.The empirical level research methods used in this article are a description of what operational risk is, its types, tools and methods of assessment; comparison of operational risk management systems in the studied banks; generalization, analysis and synthesis of the information received; the hypothetical-deductive method is used at the theoretical level.Modernization and improvement of the operational risk management system helps stabilize the bank, increase stability and increase profitability, reduce the provision of capital for operational risk, and increase the attractiveness of banking services for consumers, thus benefiting a credit institution among competitors. In today's financial environment, the effective operational risk management is inherent in the long-term development strategy. 


Author(s):  
Micheline J. Naude ◽  
Nigel Chiweshe

Background: The gap between small and medium-sized enterprises (SMEs) and large businesses that perform risk assessment is significant. SMEs continuously face many operational risks and uncertainties in their daily operations, and these risks threaten to reduce productivity, increase costs and reduce profits.Aim: The purpose of this article was to develop an operational risk management framework that SMEs can use to identify and analyse risks in their operations and take corrective actions to mitigate these risks.Setting: Small and medium-sized enterprises in South Africa do not view risk management as a key component of organisational success, despite evidence that businesses that adopt risk management strategies are more likely to survive and grow.Methods: The article is exploratory in nature, and a conceptual analysis approach was used to formulate the framework. This study reviewed relevant literature sources on risk published between 2002 and 2017.Results: The four process steps of risk management were used as a reference point and form the foundation for the operational risk management framework. The categories of operational; marketing; technical and financial risks were identified from a review of available literature on risk management.Conclusion: There is a dearth of research that deals with operational risk management frameworks for SMEs. The expected contribution of this article, therefore, is twofold: firstly, it is envisaged that managers or owners of SMEs could use the proposed framework as a tool to appraise and minimise their operational risks; secondly, it will add to the current body of knowledge on risk appraisal for SMEs.


Author(s):  
Emmanuel Byamungu ◽  
Irechukwu Eugenia Nkechi ◽  
Henry Jefferson Ogoi

Risk management practices are currently a subject of interest and a novel impression beneath research and application by diverse organizations. Nevertheless, there seems much to be debated on this subject in terms of a general strategic risk management practices statement. There is uncertainty like, when there should be a declaration for each principal risk category the organization experiences or should exist a general risk management practices for the organization. A risk management practice is about achieving corporate goals. For many financial institutions (FIs), dual goals exist such as the social and economic perspectives. This study sought to analyze the effect of strategic risk management practices on corporate investment of selected financial institutions in Rwanda. The study aimed at establishing the effect of operational risk management practices, market risk management practices, compliance risk management practices and governance risk management practices on corporate investment in selected commercial banks in Rwanda. The study adopted descriptive research design. The study targeted 95 managers from finance, internal audit, risk compliance and operations departments. The sample size was 77 respondents. The research was conducted using primary and secondary data, which includes survey forms (questionnaires), interviews as well as reports of the targeted institutions. Information for the research were gathered utilizing organized surveys forms that were distributed to the targeted respondents. Narrative information obtained from interviews and open-ended questions in the questionnaire were analyzed using qualitative approaches. Validity and reliability of the instruments were tested using the Cronbach Alpha test retest methods. With the aid of Statistical Package for Social Science version 21.0, both descriptive statistics such as the means, modes, standard deviation, variances and inferential statistics were analyzed. The research revealed that management of operational risk has a constructive effect financial outcomes performance of financial institutions in Rwanda. The study found that there is a correlation between both operational risk management and market risk management and performance of the financial institutions. The research findings revealed that operational risk management (r=0.096, p<0.01), market risk management (r=0.506, p<0.01) and compliance risk (r=0.612, p<0.01) on corporate investments.


2019 ◽  
Vol 8 (2) ◽  
pp. 101 ◽  
Author(s):  
Asie Tsintsadze ◽  
Vladimer Glonti ◽  
Lela Oniani ◽  
Tamar Ghoghoberidze

Background: Activities of commercial banks are connected with numerous risks, the source of which is the internal and external processes of the bank. Objectives: Risk management science has been studying the origins of the risks, determining their impact quality and avoiding expected loss models from the 1950s. Method/Approach: Credit risk regressive analysis is based on the selection of effective factors, determination of their influence and prediction of future according to the correlation coefficient. Results/Findings: In the article, it is discussed the regressive analysis of operational risk. Conclusion: The effect of credit and operational risks on the financial results of the Bank is based on the results obtained and recommendations have been developed to increase risk management efficiency. Keywords: credit risk, operational risk, regressive analysis, risk management, forecasting.


2014 ◽  
Vol 29 (1) ◽  
pp. 59-72 ◽  
Author(s):  
Carol Hsu ◽  
James Backhouse ◽  
Leiser Silva

This paper examines the development of operational risk management (ORM) in a financial organization, focusing in particular on the role of IT in institutionalizing the new regime. Through an interpretive case study in a major US financial institution, the paper uses Giddens’ structuration theory to examine how it adjusts to the demands of protecting itself against new operational risks. The discussion and results of our study are expressed in three propositions: (1) the regulatory context and technological development affect the shape and the outcome of ORM; (2) implementing ORM is a process of reflexive monitoring and transforming organizational practices in a financial institution; (3) the role of IT in ORM is contingent on the extant organizational structure and on the choice of risk management approach.


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