RISK MANAGEMENT INSIGHTS
Better risk management for competitive advantage
Recent risk management articles
- IFRS 17: Waiting is not an optionIFRS 17 is a principles-based accounting standard for the future-oriented valuation of insurance contracts. Designed to increase financial transparency, IFRS 17 requires insurers to report in more detail on how insurance and reinsurance contracts affect their finances and risk.
- The analytical CRO and the risk aware CFOTo create a more risk-aware organization, the most important collaborative relationship for the CRO is with the CFO and the finance team. The CFO and CRO – as the executives responsible for budgeting and supervision – tend to get caught in the middle of competing objectives.
- frtb: a wait and see strategy could be riskyFRTB, fundamental review of the trading book, is a regulation that changes how banks analyze market risk in the trading book to address systemic challenges.
- General Data Protection Regulation: From burden to opportunityThe General Data Protection Regulation stirs up mixed emotions, but Kalliopi Spyridaki shows how to use the new legislation for business advantage.
- What are IFRS 17 & Solvency II? A comparisonIFRS and Solvency II encourage comparability and transparency from a regulatory and accounting perspective for insurers, but there are important differences.
- Credit risk management is the answerLending and loan volume is back up to pre-crisis levels. But banks are facing higher delinquencies as well. That's why improving credit risk management is crucial.
- Enhancing Know Your Customer (KYC) & Customer Due Diligence (CDD)IFRS 9 and CECL will require banks to more accurately predict expected credit losses (ECLs). This will require new credit loss models based on analytics.
- How can financial institutions improve their model risk management?IFRS 9 and CECL will require banks to more accurately predict expected credit losses (ECLs). This will require new credit loss models based on analytics.
- IFRS 9 and CECL: The challenges of new financial standardsIFRS 9 and CECL will require banks to more accurately predict expected credit losses (ECLs). This will require new credit loss models based on analytics.
- Stress test scenarios for banks & the challenges they faceIFRS 9 and CECL will require banks to more accurately predict expected credit losses (ECLs). This will require new credit loss models based on analytics.
- Customer due diligence: checklist or an ongoing approach?IFRS 9 and CECL will require banks to more accurately predict expected credit losses (ECLs). This will require new credit loss models based on analytics.
- Model risk management: Vital to regulatory and business sustainabilitySloppy model risk management can lead to failure to gain regulatory approval for capital plans, financial loss, damage to a bank's reputation and loss of shareholder value. Learn how to improve model risk management by establishing controls and guidelines to measure and address model risk at every stage of the life cycle.
- Should banks adopt regulations as best practices?The regulatory tsunami isn't letting up, but is there value to be gained in adopting, for instance, BCBS 239 principles?
- Retail cyber risk toleranceManage your data assets just as you would any of your physical assets by putting security plans in place for any and all contingencies.
- Prepare for IFRS 9 convergence with better IT and data practicesAs banks prep for IFRS 9 convergence, it will put added stress on IT systems. Learn how to build an IT framework that meets regulatory challenges.
- The current state of stress testingMany banks struggle to keep pace with the demands of Dodd-Frank Act stress testing. Find out what risk professionals cite as the most pressing challenges.
- Risk data aggregation: Transparency, controls and governance are needed for data quality and reportingFinancial institutions’ data aggregation and reporting techniques and systems are receiving increased attention both internally and externally. Find out how to take a comprehensive approach to BCBS principles and risk data aggregation and management.
- Risk data infrastructure: Staying afloat on the regulatory floodWhat are the challenges of a risk data infrastructure and how can they be addressed? Here's what you need to know to build an effective enterprise risk and finance reporting warehouse.
- An executive perspective on risk and fraudHSBC's global risk COO on how the world’s second-largest bank uses data management, analytics and industry expertise to tackle financial crime and more.
- IFRS 9 impairment regulation: How to prepare for the data tsunamiBanks will have to update ECL amounts at each reporting date for credit risk changes, significantly increasing impairment calculations and data collection.
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