Page 20 - Azerbaijan State University of Economics
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THE                      JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE, V.81, # 2, 2024, pp. 4-29

                    We note from the previous table that for each random repetition random loss values
                    were set according to the number of repetitions and then we added the loss values
                    together.  As  for  the  probability,  the  probability  of  each  loss  value  as  well  as  the
                    probability of repetition is multiplied. For example, we take the first line from the
                    previous table, which contains the repetition 4 and the folloing loss values: 8, 27, 22 ,
                    3  thousand  DZD,  from  which  the  common  probability  is  calculated  based  on  the
                    Poisson  distribution  of  repetitions  and  the  normal  distribution  of  loss  values  as
                    follows:

                           0.168 × 0.0180314 × 0.021064 × 0.022673 × 0.0142227 =2,0577 E-08

                    After arranging the total loss values in ascending order, the graph of the distribution
                    of loss values shown in the following figure is drawn:

                             0.004
                             0.003
                             0.002
                             0.001
                                 0
                                      19  40  41  43  45  49  50  60  68  76  76  77  84  97  101  110  136  160  165  173

                                        Figure 07: Probable Distribution of Loss
                     Source: Prepared by the two researchers using Excel, based on the values of Table 07

                    It is noted through the previous figure that the horizontal axis is not measured uniformly,
                    it is clear that it has a long tail, and therefore the graphical representation of the loss
                    distribution is abnormal , and therefore the value exposed to the operational risk of the
                    computer failure event can be calculated from the loss distribution in the previous table
                    and using the ionization scale (Percentile)  depending on the Excel, from which we obtain
                    the values shown in the following table at different confidence levels:

                      Table 08: Value at Operational Risk for Computer Hardware Failure Event
                                                    (Thousand DZD)
                         (1-α)%            90%              95%             99%           99.9 %

                         OpVaR1             160              165             171            848
                          Source: Prepared by the two researchers using Excel, based on the values of Table 07.


                    The maximum loss that the bank can suffer due to computer crashes in the coming
                    year is estimated at 160.5 thousand DZD at a level of confidence 90%.






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