What elements should a financial institution consider when developing an analytical framework for operational risk? What are the specific roles of risk identification, measurement, reporting and management? Marcelo Cruz explores these issues and offers a step-by-step operational risk plan.
This chapter provides an introduction to econometrics modelling applied to operational loss data. It discusses techniques for establishing a connection between control indicators and operational losses. The examples are informative for operations losses such as transaction errors, but appear of limited relevance to risk capital dominated by extremely large losses. ... click here for more details.
This chapter provides a conceptual framework for the modeling and design of data bases for operational risk management in order to apply the different statistical techniques for measuring operational risks covered later in the book. The data model proposed by the author is a good starting point for any ... click here for more details.
This chapter provides a hands-on approach to the application of extreme value theory (EVT) to fitting severity distributions for operational risk. The author`s perspective is partly biased, favouring block maxima over peaks over threshold and probability weighted moments over maximum likelihood, but reasons are given for the author`s preferences. ... click here for more details.
This chapter overviews to the mathetical concepts underlying frequency models. Starting with distribution functions, the chapter then shows how to apply the chi-squared test using several operational risk examples. This chapter is intended for those who are familiar with probability and statistics and comfortable with standard notation. It ... click here for more details.