Credit Risk Management
What it is and why it matters
Do you want to meet regulatory requirements for credit risk? Or do you want to go beyond the requirements and improve your business with your credit risk models? If your credit risk is managed properly, you should be able to do both. Let’s break it down.
Credit risk refers to the probability of loss due to a borrower’s failure to make payments on any type of debt. Credit risk management, meanwhile, is the practice of mitigating those losses by understanding the adequacy of both a bank’s capital and loan loss reserves at any given time – a process that has long been a challenge for financial institutions.
The global financial crisis – and the credit crunch that followed – put credit risk management into the regulatory spotlight. As a result, regulators began to demand more transparency. They wanted to know that a bank has thorough knowledge of customers and their associated credit risk. And new Basel III regulations will create an even bigger regulatory burden for banks.
To comply with the more stringent regulatory requirements and absorb the higher capital costs for credit risk, many banks are overhauling their approaches to credit risk. But banks who view this as strictly a compliance exercise are being short-sighted. Better credit risk management also presents an opportunity to greatly improve overall performance and secure a competitive advantage.
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More on credit risk management
- Why Banks Struggle with Counterparty Risk Management (Blog)
- Five Key Challenges in Credit Risk Modelling (Blog)
- Counterparty Exposure Management in the Basel III Era (White Paper)
- Best Practices in Credit Risk Management: Challenges to and Opportunities for Rebuilding Trust (White Paper)
- On-Demand Webinar: Real-Time Credit Decisioning with Embedded Predictive Analytics (Webinar)
Challenges to Successful Credit Risk Management
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- Inefficient data management. An inability to access the right data when it’s needed causes problematic delays.
- No groupwide risk modeling framework. Without it, banks can’t generate complex, meaningful risk measures and get a big picture of groupwide risk.
- Constant rework. Analysts can’t change model parameters easily, which results in too much duplication of effort and negatively affects a bank’s efficiency ratio.
- Insufficient risk tools. Without a robust risk solution, banks can’t identify portfolio concentrations or re-grade portfolios often enough to effectively manage risk.
- Cumbersome reporting. Manual, spreadsheet-based reporting processes overburden analysts and IT.
Best Practices in Credit Risk Management
The first step in effective credit risk management is to gain a complete understanding of a bank’s overall credit risk by viewing risk at the individual, customer and portfolio levels.
While banks strive for an integrated understanding of their risk profiles, much information is often scattered among business units. Without a thorough risk assessment, banks have no way of knowing if capital reserves accurately reflect risks or if loan loss reserves adequately cover potential short-term credit losses. Vulnerable banks are targets for close scrutiny by regulators and investors, as well as debilitating losses.
The key to reducing loan losses – and ensuring that capital reserves appropriately reflect the risk profile – is to implement an integrated, quantitative credit risk solution. This solution should get banks up and running quickly with simple portfolio measures. It should also accommodate a path to more sophisticated credit risk management measures as needs evolve. The solution should include:
- Better model management that spans the entire modeling life cycle.
- Real-time scoring and limits monitoring.
- Robust stress-testing capabilities.
- Data visualization capabilities and business intelligence tools that get important information into the hands of those who need it, when they need it.