RISK MANAGEMENT INSIGHTS
Better risk management for competitive advantage
Recent risk management articles
- 客戶體驗才是王道:數位銀行的成功秘訣在這個談論人工智慧、數位轉型的時代裡，你即將沒有實體帳戶、身份安全碼、也不再光顧實體銀行，當預言已來臨，但多數人還停留在觀望的階段時，今年初，台灣已竄出了第一家以虛擬通路為主的數位銀行! 這位銀行界的新星王道銀行(O-Bank)希望透過創新的服務顛覆國人的交易行為，預計5年內成為國內網銀、手機銀行的第一品牌。
- 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.
- 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.
- Even as stress testing matures, gaps in technology and coordination remainEven with significant investments in people and process improvements, a survey conducted by SAS and GARP finds that banks are not as robust and mature as they need to be in terms of their technology.
- 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.
- Model risk management keeps banks ahead of the regulatorsRecent regulations require executives to know more about how their organization manages risk. David Rogers from SAS explains how to get started by understanding the models that drive decisions.
- 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.
- 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?
- Three lessons learned from the model that almost killed Wall Street!No one wants his name associated with a global financial meltdown. Poor David Li. The misuse of his beautiful model contributed to the financial crisis that started in 2008. Model risk can never be eliminated, but Sunny Zhang believes there are at least three things modelers can do to help manage it.
- 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.
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