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.
- 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.
- 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.
- 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.
- Two biggest challenges banks face in regulatory complianceA recent Longitude Research survey of more than 100 senior banking officials across Europe and the US found that the majority of banks still don’t use stress testing outcomes to inform strategic decision making.
- Four tips for finding a balance between revenue growth and regulatory complianceSanjiv Talwar, Head of Risk Capital and Stress Testing at the Bank of Montreal, talks with Tom Kimner and the Argyle Journal about the difficulties banks face with meeting regulatory requirements. He also shares his philosophy for approaching those difficulties - build a growth strategy based on the lessons learned from the regulatory exercises.
- How do you convince a doubting executive to invest in risk management?There is no magic formula to getting your execs to see the importance of a new path or technology, but there are some tried and true steps you can take. Take a look at these three tips for building your presentation.
- Are you good at scoring?Credit scoring is the foundation for evaluating clients who apply for a loan (or other types of exposure for the bank). It is not unusual for it to take up to 12 months to build and deploy a new credit scoring model. Reforming the process will help minimize losses, increase earnings and reduce operational risk.
- Risk capital and lessons from the TitanicEconomic capital is that something extra that senior management needs for staying financially afloat in tough economic times. Tara Skinner uses the tale of the Titantic to describe risk capital risk management best practices.
- People, process, culture – and technologyData governance requires measurement and constant improvements of data quality. That’s a mountain of a job without clearly defined roles and responsibilities. This is the second in a series of risk management videos discussing risk management. In this installment, Peyman Mestchian, Managing Partner at Chartis Research, and Tom Kimner, Head of Americas Risk at SAS, talk about data governance and the need for specialized departments, technology and skills.
- What are banks top CCAR hurdles?With CCAR, regulators will hold bank holding companies to more stringent standards for capital planning and stress testing. We asked our banking customers what their biggest struggles are with compliance and how they are addressing them.
- 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.
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