Risk management
OCC’s security chief on generative AI with guardrails
Clearing house looks to scale technology across risk and data operations – but safety is still the watchword
Asia hours surge complicates FX options market-making
Late tariff announcements in US trigger hedging headaches during less-liquid Asia sessions
The robot-labeling phenomenon: robot-ready modern operational risk management
The author highlights misuse of the term "robot" in banking practice and the literature, proposes the robot-labelling phenomenon and recommends a shift in approaches to operational risk management to address challenges of the synthetic era.
People: Shake-up at Goldman, new op risk posts, and more
Latest job changes across the industry
French banks’ equity VAR surges to multi-year highs
Volatility pushes fourth quarter readings at BNP Paribas, Crédit Agricole and SocGen to levels unseen in recent years
Navigating risk horizons: a comprehensive bibliometric analysis of corporate risk management
The authors conduct a bibliometric analysis of 100 research papers to identify trends within corporate risk management.
How AI agents could become investing’s crash test dummies
Firms mull the use of chatbot simulations to test organisational set-ups
Cool heads must guide financial regulation of climate risk
Supervisors can’t simply rely on ‘magical thinking’ of market discipline, says Sergio Scandizzo
Bank of England mustering unit to model system-wide stresses
Permanent team at UK supervisor will work on buy- and sell-side interactions
Incorporating financial reports and deep learning for financial distress prediction: empirical evidence from Chinese listed companies
The authors investigate the use of text information processing methods for financial distress prediction and how this method can be combined with traditional means to improve prediction accuracy.
Lessons for academic research from model risk management in financial institutions
The authors suggest that model risk management practices used in financial institutions can be applied to academic research and enhance research outcomes.
Strengthening technology resilience and risk controls against multidomain disruption
The consequences of multidomain disruption and best practice strategies to enhance digital resilience
Operational risks: trends and challenges
The authors carry out a systematic literature review of operational risk research to determine the current state of operational risk research in financial institutions.
Banking: the role of risktech in effectively managing emerging risks and driving competitive edge
All banking, financial services and insurance firms (BFSIs) are grappling with increasingly dynamic and continually evolving risks.
Capital markets: the role of risktech in effectively managing emerging risks and driving competitive edge
This white paper covers the global survey, conducted by Chartis Research, on banking, financial services and insurance firms.
The role of risktech in effectively managing emerging risks and driving competitive edge
This white paper covers the global survey, conducted by Chartis Research, on banking, financial services and insurance firms, which found that capital markets firms are struggling to adjust to the increasingly dynamic risks of today.
Insurance: the role of risktech in effectively managing emerging risks and driving competitive edge
This white paper covers the global survey, conducted by Chartis Research, on banking, financial services and insurance firms, which found that insurers are struggling to adapt to evolving risks and regulatory requirement increases.
Iosco mimics industry codes to tackle pre-hedging dilemma
Advocates breathe sigh of relief, but Iosco release carries suggested restrictions
Central bank watch: watchful and wary easing ahead
Franklin Templeton assesses the monetary policy outlook for the Group of 10 central banks, as well as China and South Korea, as 2025 begins.
The prediction of mortgage prepayment risks in the early stages of loan origination: a machine learning approach
The authors put forward a machine learning model for the prediction of mortgage prepayment risks at the loan origination phase.
On resilience risk, banks prepare to let the bad times roll
Lenders bolster first-line teams and upskill boards as compliance with new rules bites