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.
- 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.
- 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.
- 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.
- 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.
- Experts: Nothing simple about meeting regulatory requirementsExperts discuss the trends and technologies that affect how financial institutions handle the growing number of regulations and regulatory agencies. They answer the question of how data and analytics help.
- Attitudes toward liquidity risk have changedIn 2008, most banks took for granted that they would always have access to liquidity, and so they didn’t worry too much about liquidity risk. Even regulators worried little about it – until the danger was exposed.
- What is a risk model?Banks use multiple models to meet a variety of regulations (such as CCAR and Basel III). With increased scrutiny on model risk, bankers must establish a model risk management program for regulatory compliance and business benefits. Begin the planning by clearly defining what a risk model is.
- Four themes running through the BCBS 239 principlesThe 14 principles of BCBS 239 cover a lot of ground, from IT infrastructure and governance to reporting. Understanding the four themes may aid in compliance. Donna Howe and Renzo Traversini outline those for you in this article.
- Reducing the CCAR pain Theoretically, CCAR submissions can be developed and submitted using your existing risk and finance infrastructure. But there are some challenges to that approach. An analytic solution that is built to facilitate collaboration between risk and finance can produce some significant technical and business benefits.
- Are US banks ready for Basel III?The newly released Basel III final rules for capital adequacy will pose a challenge for banks that aren't prepared. But banks that are prepared stand to gain real business benefits from these evolving regulations. So what constitutes being prepared? Tom Kimner, head of the Americas Risk Practice at SAS, weighs in on the three things you need.
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