Journal of Operational Risk
ISSN:
1744-6740 (print)
1755-2710 (online)
Editor-in-chief: Marcelo Cruz
About this journal
In December 2017, the Basel Committee published the final version of its standardized measurement approach (SMA) methodology, which will replace the approaches set out in Basel II (ie, the simpler standardized approaches and advanced measurement approach (AMA) that allowed use of internal models) from January 1, 2022. Independently of the Basel III rules, in order to manage and mitigate risks, they still need to be measurable by anyone. The operational risk industry needs to keep that in mind.
While the purpose of the now defunct AMA was to find out the level of regulatory capital to protect a firm against operational risks, we still can – and should – use models to estimate operational risk economic capital. Without these, the task of managing and mitigating capital would be incredibly difficult. These internal models are now unshackled from regulatory requirements and can be optimized for managing the daily risks to which financial institutions are exposed. In addition, operational risk models can and should be used for stress tests and Comprehensive Capital Analysis and Review (CCAR).
The Journal of Operational Risk also welcomes papers on nonfinancial risks as well as topics including, but not limited to, the following.
- The modeling and management of operational risk.
- Recent advances in techniques used to model operational risk, eg, copulas, correlation, aggregate loss distributions, Bayesian methods and extreme value theory.
- The pricing and hedging of operational risk and/or any risk transfer techniques.
- Data modeling external loss data, business control factors and scenario analysis.
- Models used to aggregate different types of data.
- Causal models that link key risk indicators and macroeconomic factors to operational losses.
- Regulatory issues, such as Basel II or any other local regulatory issue.
- Enterprise risk management.
- Cyber risk.
- Big data.
Abstracting and Indexing: Scopus; Web of Science - Social Science Index; EconLit; Econbiz; and Cabell’s Directory
Journal Metrics:
Impact Factor: 0.394
5-Year Impact Factor: 0.519
CiteScore: 0.53
Latest papers
The spillover effect of the Bangladesh Bank cyber heist on banks’ cyber risk disclosures in Bangladesh
This study examines the spillover effect of that cyber heist on the cyber risk disclosures of the banking sector in Bangladesh.
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.
The strange case of the Jet Airways bankruptcy: a financial structure analysis
The authors investigate the financial structure of Jet Airways, with the aim of understanding whether financial turbulence for an airline company can constitute an antecedent for predicting the risk of bankruptcy.
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…
Quantification of regulatory capital for management of operational risk in banks: study from an emerging market economy
This paper studies the various methodologies used by an Indian bank in its operational risk management activities: these include loss database analysis, risk control self-assessment and key risk indicator (KRI) identification.
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.
Does the source of information influence depositors’ withdrawal intentions during operational events?
The objective of this paper is to identify whether depositors’ intentions to withdraw funds during operational risk events differ based on the source of information.
Benchmarking operational risk stress testing models
This paper outlines several approaches to benchmarking operational loss projections under stressed scenarios using both accounting metrics and historical loss experience.
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…
Strategic and technology risks: the case of Co-operative Bank
This paper studies the growth by acquisition strategy embarked upon by a mid-sized UK bank, the Co-operative Bank; this strategy was a disaster, leaving a heretofore successful bank in dire trouble and on the block for buyers at a substantial discount to…
An emergent taxonomy for operational risk: capturing the wisdom of crowds
In this paper, the author takes a data-driven approach and combines the individual active taxonomies of sixty large financial institutions (fifty-eight for construction and two for validation) to create a coherent new reference taxonomy: the ORX…
What do risk disclosures reveal about banking operational risk processes? Content analysis of banks’ risk disclosures in the Visegrad Four countries
Risk capital reserve and measurement precision in modeling heavy-tailed single operational losses
This paper provides a rationale for adopting quantitative buffer capital, designed to absorb variations due to measurement errors, especially those originating from the estimation risk.
Difference between the determinants of operational risk reporting in Islamic and conventional banks: evidence from Saudi Arabia
In this study, the author investigates the operational risk reporting practices of Islamic banking institutions (IBIs) and conventional banks (CBs) in Saudi Arabia. Moreover, the author explores the joint effect of banking characteristics, corporate…
Estimation of value-at-risk for conduct risk losses using pseudo-marginal Markov chain Monte Carlo
The authors propose a model for conduct risk losses, in which conduct risk losses are characterized by having a small number of extremely large losses (perhaps only one) with more numerous smaller losses.
Cyber risk management: an actuarial point of view
This paper points out the peculiarities of cyber insurance contracts compared with the classical nonlife insurance contracts from both the insurer’s and the insured’s perspectives. The main actuarial principles that are fundamental to any valuation in a…
Measuring expected shortfall under semi-parametric expected shortfall approaches: a case study of selected Southern European/Mediterranean countries
In this paper, the authors investigate the applicability of semi-parametric approaches for estimating expected shortfall.
The impact of enterprise risk management on the performance of companies in transition countries: Serbia case study
In this paper, seven hypotheses are defined, on the basis of which a theoretical model is developed to examine how different sources of enterprise risk affect the operational performance of Serbian companies and their risk of losing market position.
Applying existing scenario techniques to the quantification of emerging operational risks
This paper sets out techniques for: (a) identifying systematically emerging threats, their timescales, and interrelationships (eg, feedback loops and domino effects); (b) quantifying operational risks through structured scenario analysis processes that…
An investigation of cyber loss data and its links to operational risk
This paper investigates cyber loss data and focuses on quantifying the direct financial and compensatory losses emanating from cyber risks.
