A near miss is an event that did not result in a loss because of fortuitous circumstances, but analysis is required to understand why intermediate controls did not operate properly. (Section 7.1.3)
A risk event on a trading floor, such as a ‘fat finger’ error when buying/selling, could result in a gain or a loss depending on market movements between the time of error and its discovery/reversal. (Section 7.1.4)
Direct losses have a direct financial impact while indirect losses are ancillary impacts that may be difficult to quantify, such as reputational damage. (Section 7.1.1)
A firm should record the event description/type, amount, dates, recoveries, business entity, business activity, geographic location, and event description. (Section 7.2)
To understand if controls failed or were lacking, assess risk exposure, and take action to prevent reoccurrence or mitigate risks. (Section 7.3)
The size of the firm, cost/benefit trade off, materiality of small losses indicating control failures, culture, and impact on modelling quality. (Section 7.4)
By challenging control assessments and impact/likelihood scoring using actual loss event data. (Section 7.6.1)
Scenario analysis, risk indicators, modelling, accounting, risk appetite, action plans, training, external reporting. (Section 7.6)
There are several options - the detector, originating department, operational risk specialist, anonymous reporter. (Section 7.5.3)
Data about large losses experienced by other firms, obtained from media, consortium databases, and data sharing groups. (Sections 7.7.1, 7.7.2)
For scenario analysis, benchmarking, risk identification, new product analysis, setting risk appetite, risk education. (Section 7.8)