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.
- 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.
- 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.
- IFRS 17 and Solvency II: Insurance regulation meets insurance accounting standardsIFRS 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.
- 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.
- 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.
- 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.
- Riding the avalanche of regulationA well-planned, integrated data strategy can improve banks’ ability to generate revenue, manage risk and gain a competitive advantage.
- How to help ‘stressed out’ banksBanks can generate long-term value from a clear understanding of risk exposure, but for now they need to re-engineer and upgrade their stress testing processes to meet regulatory demands. It's possible to reduce the manual effort to inventory, manage, document, communicate, monitor and audit all of your bank’s models and share information for effective top-down model risk reporting.
- There's more to gain from regulations than just complianceThe things you are doing now to prepare for Solvency II implementation can benefit your business in many other ways. For instance, do you know which customers, regions or products are your most profitable? Do you know where you are leaking profits? Get the most from your compliance efforts.
- Risk capital and lessons from the TitanicEconomic capital is that something extra that senior management needs for staying financially afloat in tough economic times. SAS uses the tale of the Titanic to describe risk capital risk management best practices.
- Data quality: The Achilles' heel of risk managementGiven the tightly regulated environment banks face today, the importance of data quality cannot be overstated. Beyond the obvious benefits of staying one step ahead of regulatory mandates, having accurate, integrated and transparent data will drive confident, proactive decisions to support a solid risk management foundation.
- BCBS 239: More questions than answers?In the first installment of our risk management video series, Peyman Mestchian, Managing Partner at Chartis Research, and Tom Kimner, Head of Americas Risk at SAS, discuss the principles and the questions the principles leave unanswered. For instance: How will the principles be implemented, executed and enforced? What kind of investments do you need to make? What is risk data?
- Four focus areas for successful stress testingStress testing is not new to the risk world. But the increased complexity, expected frequency and firm-wide nature of scenarios present new challenges. That being said, to deliver a successful stress testing program, there are four key areas you should address.
- Five focus areas for successful stress testingStress testing is not new to the risk world. But the increased complexity, expected frequency and firm-wide nature of scenarios present new challenges. That being said, to deliver a successful stress testing program, there are five key areas you should address.
- Understanding capital requirementsCredit risk classification systems have been in use for a long time, and with the advent of Basel II, those systems became the basis for banks’ capital adequacy calculations. What is needed going forward is an efficient and honest dialogue between regulators and investors on capitalization.
- Less talk, more actionLast week's announcement by The European Banking Authority of its 2014 EU-wide stress test triggered an uproar of divergent opinions and criticism that will rumble for some time. This new methodology will profoundly impact how the European and global economies evolve.
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