Technical paper/Risk management
An examination of the tail contribution to distortion risk measures
This paper reports a method for analyzing the influence of the tail in calculations of distortion risk measures.
Risk disclosures in annual reports: the role of nonfinancial companies listed on the Athens stock exchange
This study analyzes the risks disclosed by all nonfinancial companies listed on the Athens stock exchange by undertaking content analysis of their annual reports during the period 2005–11.
The value-at-risk of time-series momentum and contrarian trading strategies
This paper not only provides a theoretical model for the value-at-risk of active and passive trading strategies but also discusses the substantial implications relevant to risk management.
A numerical approach to the risk capital allocation problem
The aim of this paper is to use a model-free, nonparametric approach based on the method of maximum entropy in the mean to solve the capital risk allocation problem.
A simple and robust approach for expected shortfall estimation
This paper proposes a simple and robust expected shortfall estimation method based on the tail-based normal approximation.
Procyclicality control in risk-based margin models
This paper revisits the procyclicality issue in risk-based margin models and provides additional insight on procyclicality mitigation techniques.
The Fundamental Review of the Trading Book and fat tails
Conservative capital buffers may not be enough to protect against tail events
A general framework for the identification and categorization of risks: an application to the context of financial markets
This paper is, to the best of the authors' knowledge, the first to develop an algorithm-based and generally applicable framework that generates an extensive and integrated identification and categorization scheme of certain risks by using text mining and…
The impact of culture upon operational risk management guidelines in the banking sector of selected Asian countries
The central banks of different countries regulate ORM according to the specificities of their national banking industry. This paper tests the hypothesis that such regulatory openness results in legal texts that are highly influenced by the culture of the…
From use cases to a big data benchmarking framework in clearing houses and exchanges
In this paper, we propose a conceptual framework that links the technical and business benchmarks in the domain of clearing houses and securities exchanges.
Bank supervision: lessons from the post-2008 banking crisis
This paper considers the learning points from official third-party reports produced in the wake of supervisory failures that can be applied to the management of front-line bank supervisors.
Critical variables in the implementation of a risk-based internal audit: a theoretical and empirical investigation of Greek companies
This paper investigates the critical variables for the implementation of RBIA in Greek companies and examines the relationship between the above variables and RBIA implementation using data collected by 105 internal auditors, external auditors, directors…
Bias-corrected estimators for the Vasicek model: an application in risk measure estimation
The author evaluates the usefulness of bias-correction methods in enhancing the Vasicek model for market risk and counterparty risk management practices.
A framework to analyze the financial effects of climate change
Starting with an expert assessment of the climate risk factors over a specified horizon, then moving to a description of the expected number of climate events and the severity of the losses if an event occurs, the authors describe a framework to analyze…
Detection of financial fraud risk: implications for financial stability
This introduction to the Journal of Operational Risk special issue shines a light on the relationship between financial fraud risks and financial stability.
Body and tail: an automated tail-detecting procedure
The quality of a tail model, which is determined by data from an unknown distribution, depends critically on the subset of data used to model the tail. Based on a suitably weighted mean square error, the authors present a completely automated method that…
Ten laws of operational risk
This paper sets out ten laws that govern the behavior of operational risk relating to the occurrence and detection/duration of events; the rapidity with which firms suffer losses; the lags in crystallization of losses; and internal and external drivers…
Modeling loss given default regressions
The authors investigate the puzzle in the literature that various parametric loss given default (LGD) statistical models perform similarly, by comparing their performance in a simulation framework.
Client engineering of XVA
A client’s guide to reducing XVA in times of need
Supervisory bank risk early warning modeling: an examiner’s first line of defense
The results of this paper show that robust forward-looking statistical models are superior to backward-looking assessments of supervisory compliance, which could lead to less regulatory burden when integrated into the examination process, particularly at…
Evaluating cyclic risk propagation through an organization
Many large organizations have risk that propagates because of the dependencies between their various major organizational components. This paper addresses when cycles of dependencies exist in an organization or system of systems.
Concentration in cleared derivatives: the case for broadening access to direct central counterparty clearing
In this paper, the authors explore the benefits and challenges of encouraging major end-users of derivatives to become direct clearing members of central counterparties (CCPs).
The impact of corporate social and environmental performance on credit rating prediction: North America versus Europe
The authors quantify the extent to which the quality of credit rating predictions improves by integrating measures of corporate social performance (CSP) in an established credit risk model. Their analysis provides comprehensive evidence of the…
What is essential is invisible to the eye: prioritizing near misses to prevent future disasters
Near misses represent a primary information source to analyze the operational risk exposure of a company, since they can reveal gaps in the control environment. The model proposed in this paper aims at identifying the most dangerous events that could…