Risk management
Credit curves – Crucial in a crisis
The peak of the Covid-19 crisis in March 2020 underlined the need for superior data; when the tide goes out, the shortcomings of some datasets are cruelly exposed. Banks and asset managers will need to have confidence in the data fuelling their models…
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…
The outlook for 2021 – FRTB
Eugene Stern, head of market risk products at Bloomberg, reveals how banks are adapting their strategies in the current environment, and why FRTB affords banks a unique opportunity to develop a unified view on market risk and enhance their overall risk…
The outlook for 2021 – Credit risk
David Croen, head of credit risk products at Bloomberg, reveals how credit risk management strategies are changing in the current environment, and the tactics and tools available for gaining a more forward-looking view on credit risk in the future
Legacy benchmark risk – A robust and effective conversion mechanism
With an uncertain future for interest rate benchmarks, TriOptima has developed its triReduce Benchmark Conversion functionality, providing support to customers transitioning their over-the-counter swaps portfolios to these alternative benchmarks
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…
Deutsche Bank lines up new head of op risk
Appointment follows departure of Bakhshi to CRO role at LSEG
FCMs fret over S&P 500 options settlement changes
Dealers say CME, Cboe settlement time shift for S&P 500-linked options causes risk management headache
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.
Op risk data: Brazil’s Líder unredeemed
Also: CEO clawbacks; Barclays timeshare trials; Fifa bankers' foul play. Data by ORX News
A guiding light for corporates lost in the fog of XVAs
Chris Kenyon proposes a framework for optimising XVAs – from the client perspective
Client engineering of XVA
A client’s guide to reducing XVA in times of need
Regulators voice concerns over cloud risk
Risk USA: failure of big cloud service provider could cause “a very large shock”, says NY Fed exec
Japanese generally accepted accounting principles – CVA accounting
In April 2021, Japanese generally accepted accounting principles (JGAAP) will incorporate credit valuation adjustment (CVA) and debt valuation adjustment pricing for derivatives portfolios. With several challenges left to overcome and the deadline…
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…
Achieving a holistic view of risk in times of crisis
What happens when risks become too global in scope and increasingly uncertain for a business to manage? Jeroen van Doorsselaere, senior director – finance, risk and regulatory reporting value propositions at Wolters Kluwer, explores the key steps to…
Op risk data: Firm-wide control fails cost Citi $400m
Also: Deutsche draws fire and AML fine over Danske trades. Data by ORX News
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.
Managing commodity risk in turbulent times
Faced with today’s razor-thin margins, firms must be able to monitor all risks holistically, in real time and to hedge effectively. This brings technological challenges, and many firms are now grappling with issues such as getting the right datasets,…
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).
Future-proofing fraud prevention in digital channels
How financial institutions are future-proofing fraud detection in digital channels, their approaches and considerations in building digital access and growth while balancing fraud management.