Technical paper/Operational risk
On the selection of loss severity distributions to model operational risk
This paper presents truncation probability estimates for loss severity data and a consistent quantile scoring function on annual loss data as useful severity distribution selection criteria that may stabilize regulatory capital.
The use of business intelligence and predictive analytics in detecting and managing occupational fraud in Nigerian banks
The goal of this paper is to illustrate how Nigerian banks, and indeed banks elsewhere, can develop solutions that incorporate both BI and predictive analytics techniques in detecting, predicting, preventing and managing occupational fraud.
Quantification of operational risk: statistical insights on coherent risk measures
In this paper, the authors review some of the existing methods used to quantify operational risks in the banking and insurance industries.
The operational risk disclosure practices of banks: evidence from India and Romania
This paper compares the levels of operational risk disclosure in the banking industries of India and Romania.
Estimation of losses due to cyber risk for financial institutions
The objective of this paper is to analyze cyber risk from an operational risk perspective and to measure cyber risk empirically.
Introducing a novel system-of-systems axiomatic risk management technique for production systems
This paper focuses on conceptual and modeling frameworks in an attempt to explore qualitative and quantitative risk management techniques for hierarchical SoS risks, exemplifying the production systems for demonstration.
An alternative approach for the operational risk assessment of a new product
The aim of this paper is to provide a new operational risk management framework to identify and mitigate the operational risk exposure arising from a new product.
Operational risk measurement: a loss distribution approach with segmented dependence
This paper proposes an approach, called the loss distribution approach with segmented dependence (LDA-SD), which can model the different dependencies of HFLI and LFHI losses in the framework of LDA.
A review of the state of the art in quantifying operational risk
In this paper, the authors provide a comprehensive review of the different approaches developed to model operational risk, specifically focusing on the actuarial approach.
Global perspectives on operational risk management and practice: a survey by the Institute of Operational Risk (IOR) and the Center for Financial Professionals (CeFPro)
This paper presents survey results which represent comprehensive perspectives on operational risk practice, obtained from practitioners in a wide range of countries and sectors.
Is operational risk regulation forward looking and sensitive to current risks?
This paper evaluates the operational risk capital requirements of large US banks to determine whether they are forward looking, sensitive to banks’ current exposures and designed to allow for risk mitigation.
Predictive fraud analytics: B-tests
In this paper, the authors look at B-tests: methods by which it is possible to identify internal fraud among employees and partners of the bank at an early stage.
A general framework for constructing bank risk data sets
This paper proposes a general framework for constructing bank risk data sets, which provides an integrated process from data sources to comprehensive risk data sets.
Forward-looking and incentive-compatible operational risk capital framework
This paper proposes an alternative framework for setting banks’ operational risk capital, which allows for forward-looking assessments and limits gaming opportunities by relying on an incentive-compatible mechanism.
Modeling operational risk depending on covariates: an empirical investigation
In this paper, the authors apply a dynamic extreme value theory (EVT) model based on a nonhomogeneous Poisson process incorporating covariates to estimate frequency, severity and risk measures for operational risk.
Risk monitoring through better knowledge-based risk processes
The aim of this paper is to propose a model that describes the integration of knowledge-based risks (via the processes of knowledge-based risk identification, analysis, evaluation and education) and knowledge-based risk repositories to support risk…
Operational risk: a forgotten case study
This paper is a historical case study of the GAS scandal and is the first to analyze it from the perspective of operational risk.
Operational risk measurement beyond the loss distribution approach: an exposure-based methodology
In this paper, the authors present an alternative quantification technique, so-called exposure-based operational risk (EBOR) models, which aim to replace historical severity curves by measures of current exposures and use event frequencies based on…
Distortion risk measures for nonnegative multivariate risks
In this paper, the authors present a way to address multivariate distortion risk measures and give some examples of distortion functions and distributions where the final expression has a closed form.
An operational risk capital model based on the loss distribution approach
In this paper, the author constructs a capital model for operational risk based on the observation that operational losses can, under a certain dimensional transformation, converge into a single, universal distribution.
Modeling very large losses
In this paper, the author presents a simple probabilistic model for aggregating very large losses into a loss collection.
Bridging networks, systems and controls frameworks for cybersecurity curriculums and standards development
This paper proposes a risk management framework designed to facilitate the alignment, integration and streamlining of professional practice standards and computer science/cybersecurity educational curriculums by bridging NPNATFs, SNIFs and RMCPFs.
Tail dependence in small samples: from theory to practice
In this paper, the authors study tail dependence by defining the conditions required for all the methods used to perform and to quantify their efficiency and accuracy.
Shapley allocation, diversification and services in operational risk
In this paper, the authors propose a method of allocating operational risk regulatory capital using a closed-form Shapley method, applicable to a large number of business units (BUs).