Risk management
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.
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
The Path To Operational Resilience Begins With Reliability And Risk Management
This study will explore the challenges that financial services firms in APAC face in enhancing operational resilience as well as how they plan to leverage data and hybrid cloud in building operational resilience.
For banks, change risk is inevitable; managing it, optional
Regional bank survey shows steady growth of dedicated change risk functions and adoption of leading indicators
As supplier risk grows, banks check their third-party guest lists
Dora forces rethink of KRI and appetite frameworks amid reappraisal of what constitutes a key counterparty
Op Risk Benchmarking 2024: the banks
As threats grow and regulators bore down, focus shifts to the first line
Elevating risk management to a strategic partner in investment decision-making
How risk management is evolving from a compliance role to a strategic partner, highlighting such themes as collaboration with portfolio teams, forward-looking approaches, advanced analytics and integrating emerging risks, enabling firms to navigate…
Elevating risk management to a strategic partner in investment decision-making
Based on insights from a Risk.net webinar sponsored by S&P Global Market Intelligence, this article explores how risk management is evolving from a compliance role to a strategic partner.
Thin-skinned: are CCPs skimping on capital cover?
Growth of default funds calls into question clearers’ skin in the game
Markets Technology Awards 2025 winners’ review
Vendors jockeying for position in this year’s MTAs, as banks and regulators take aim at counterparty blind spots
An AI-first approach to model risk management
Firms must define their AI risk appetite before trying to manage or model it, says Christophe Rougeaux
Op risk data: At Trafigura, a $1 billion miss in Mongolia
Also: Insurance cartels, Santander settlement and TSB’s “woeful” customer treatment. Data by ORX News
Distributionally robust optimization approaches to credit risk management of corporate loan portfolios
A new approach to manage credit risk in financial institutions - the empirical divergence-based distributionally robust optimization - is proposed and shown to alleviate the challenges of sample sparsity and data uncertainty in credit risk modeling.
A method of classifying imbalanced credit data based on the AC-CTGAN hybrid sampling algorithm
The authors put forward a novel method with which to identify risk in consumer credit data and demonstrate its enhanced generalization ability compared to commonly used methods.