Page 7 - Azerbaijan State University of Economics
P. 7

Aimene Farid, Bahi Nawel:Operational Risk Estimation Using the Value-at-Risk (VAR)
                                 Method: Case Study of the External Bank of Algeria (EBA)


                    This study found that the main reason for the use of databases in insurance companies
                    is the problem of the lack of internal data for the financial analysis of operational risks,
                    and the  inability of quantitative methods, specifically the OpVaR method , to measure
                    operational risk levels with a high degree of accuracy and control.

                    Structure of the Study
                    To answer the problem at hand, this study was divided into three axes as follows:
                    • The first axis: Introduction to operational risks.
                    • The second axis: Estimating operational risks using value at risk.
                    • The third axis: Applying the value-at-risk method in the Algerian foreing bank.

                    INTRODUCTION TO OPERATIONAL RISK
                    Concept of Operational Risk
                    There is not a single consensus on the definition of operational risk yet, as some define
                    it by identifying what it involves such as risks arising from human error, fraud, process
                    failure, technological breakdown, and external factors (e.g. lawsuits, fire risk, natural
                    disasters, customer dissatisfaction, loss of reputation, etc.). (Wong C.Y., 2013).

                    There is a set of divergent definitions that must be mentioned before reaching general
                    definitions:

                    •  Value at Risk (VaR) is a statistical technique used to measure the risk
                       of loss on a portfolio. It estimates the maximum potential loss over a
                       given time period within a certain confidence level (Pearson, 2019).
                    •   VaR quantifies the worst expected loss over a target horizon at a given confidence
                       level. It is commonly used in finance for risk management and regulatory purposes.

                    •   VaR  represents  the  maximum  loss  that  will  not  be  exceeded  with  a  specific
                       probability during a specified time period, often used in the assessment of market
                       risk (Dowd, 2005).

                    Kingsley et al., defines it as “the risk of loss resulting from failures in operational
                    processes  or  the  systems  that  support  them,  including  those  that  adversely  affect
                    reputation, and the legal execution of contracts and claims.” This definition  includes
                    both strategic and business risks, that is, operational risks arise from the disruption of
                    people, processes and systems within the organization. Strategic and commercial risks
                    arise outside the company and stem from external  causes such as political unrest,
                    changes in organizational or government policy, changes in the tax system, mergers
                    and acquisitions, changes in market conditions, etc. (Linda, Jacob, & Anthony, 2004).
                    As for the Basel II Committee, it defined it as "the risk of EBAring losses resulting
                    from the inefficiency or failure of internal processes, the human element, systems and
                    external events" (Supervision, 2004, p. 664).



                                                            7
   2   3   4   5   6   7   8   9   10   11   12