Operational risk
WHAT IS THIS? Operational risks are those arising from people, processes and systems – the biggest form of exposure for many industries, but one that was neglected by financial firms until the collapse of Barings Bank in 1995. It was added to the Basel capital framework in 2004, but attempts to model operational risk were dealt a heavy blow by the huge, unforeseen losses suffered by banks in the aftermath of the financial crisis.
Polish mortgage claims push RBI’s op risk up 43%
Following the latest increase, op risk makes up 11% of the bank’s total RWAs
How will US regulators perform the Basel III balancing act?
Largest banks seek offsets for higher capital requirements caused by possible end of IRB, IMM
BlackRock calls for blockchain to fix futures processing snags
Asset manager wants industry to move faster in adopting “single source of truth” model
Op risk data: Deutsche greenwashing fine a regulatory red flag
Also: Class claim costs CA tribe $500m; Essilor eyeballs JPM in fraud case; Bank of Italy con job. Data by ORX News
French tax fraud verdict costs UBS $4.1bn of additional op RWAs
Extra capital charges will be split across the first six months of the year
US trading blunder costs Barclays £2.8bn in credit RWAs
The latest hit follows a £540 million provision to cover the over-issuance of structured notes
Investment banks: the future of risk control
This Risk.net survey report explores the current state of risk controls in investment banks, the challenges of effective engagement across the three lines of defence, and the opportunity to develop a more dynamic approach to first-line risk control
Stablecoins’ would-be lawgivers don’t know what they’re missing
Bills in US Congress focus on run risk, but more detail needed on operational challenges
Op risk data: Barclays bungles multi-billion-dollar note issue
Also: Russia sanctions redux; Lloyd’s of London names bullying and sexism brokerage. Data by ORX News
In roiling markets, fraud rises. Banks want to understand why
Disruption from Ukraine and Covid puts managers on alert for misconduct, as risk controls are stretched to the max
The top 10 op risks, reloaded
Survey to be expanded as part of benchmarking exercise
Banks tout CCAR-style stress tests for emergent risks
Extreme-but-plausible scenario planning is being applied to geopolitical events such as Ukraine conflict
Op risk data: Allianz dealt a $4bn blow for not-so-Alpha Funds
Also: Credit Suisse cops two cartel shops; banks get slapped in gender pay gap. Data by ORX News
Banks: sanctions evasion driving rise in money laundering risk
Attempts by oligarchs to siphon cash out of Russia sparks heightened scrutiny of AML alerts
Goldman exec: rogue algos could spark ‘systemic’ crashes
Device proliferation and digital assets also altering risk environment, says Europe op risk head
Op risk outlook 2022: the legal perspective
Christoph Kurth, partner of the global financial institutions leadership team at Baker McKenzie, discusses the key themes emerging from Risk.net’s Top 10 op risks 2022 survey and how financial firms can better manage and mitigate the impact of…
Top 10 operational risks for 2022
The biggest op risks for the year ahead, as chosen by senior industry practitioners
Top 10 op risks 2022: geopolitical risk takes centre stage
Ukraine invasion, western sanctions and Russian response seen driving big rise in cyber and supply chain risks
Russia sanctions put spotlight on banks’ dirty laundry
As punitive measures against Moscow increase, so do the risks to banks from financial crime
Europe’s banks brace for Russia-backed cyber retaliation
Beefed-up sanctions on Russia’s largest banks spark IT security alert; 100s of computers brought down in Ukraine
Banks hope new US rule will see AML judged on effectiveness
Proposed FinCEN ruling asks regulators to look beyond design to whether AML measures actually work
Preventing the unpleasant: fraudulent financial statement detection using financial ratios
In this paper, the authors investigate financial fraud in companies listed on the Athens Stock Exchange during the period 2008–18 and propose a model to detect fraudulent financial statements.