Rising interest rates can have a significant impact on financial institutions. In today’s rapidly changing rate environment, it is increasingly important for FIs to understand and take action to prevent significant risk to their institutions. Costs are rising everywhere. Whether you’re buying eggs for breakfast or gas for your weekly trip to visit family, everyone is feeling the shift in economy in some way or another.
This environment can place stress on families, individuals and businesses, but it can also have a large impact financial institutions (FIs). Times like these are often characterized by a rise in interest rates, which are fundamental to the business of banking. Rapid changes in rates can affect an FI’s sources of revenue and lower the total value of its assets and liabilities. Without having risk management strategies in place, these changes can have significant impacts on an FI’s financial safety and soundness.
While we can’t lower the cost of your breakfast, we can give you some tips on how to understand the interest rate increases and best prepare your institution to weather them.
CECL Methodology Selection Guide
Among the many decisions financial institutions will need to make in order to comply with the new CECL Accounting Standard Update (ASU), one of the most important is determining which method to use to estimate expected credit losses on loans and other assets measured at amortized cost.
This ASU references loss rate methods, probability or default methods, and discounted cash flow methods, but how do you know which method is most appropriate for your institution? In this white paper, industry experts offer a guide to help you make the best decision for your financial institution.
Factors to consider include:
Feasibility: Review your data quality and completeness on a pool level. This will help determine which methodologies are feasible. Some methods may not be feasible if certain required data is limited or unavailable.
Performance: Backtest each method. This is accomplished by estimating the allowance on a historical data set and comparing the results to actual losses for a comparable period. Backtesting should be performed on various data dates for a variety of methods and settings.
Management Judgement: Consider management’s experience and judgement. Management should carefully consider advantages and disadvantages of each method, their assumptions and limitations for its use, and the sustainability of preparers using a particular method.
Possible methods to select:
Static Pool: This method requires only simple mathematical calculations. It is meant to resemble a traditional lookback loss rate. When a class of loans is multiplied by the current balance of the class, the rate is equal to the balance expected to be collected due to credit loss.
Vintage: The Vintage method is useful if you like the concept of a loss rate but prefer to make fewer assumptions than required for the Static Pool method. Another advantage of the Vintage method is that is accounts for loan age. Note that a seasoned loan generally carries less risk than newer loans, however, the level of seasoning in a portfolio can change drastically over time.
Advanced Vintage: Like the Static Pool and Vintage CECL methods, the Advanced Vintage method is a type of loss rate method. For this method, use a rate that represents the percentage of a balance expected to not be collected.
Probability of Default: The Probability of Default (PD) method uses a fundamentally different approach than the Vintage or Static Pool methods. Rather than producing a rate to multiply by the current balance, the PD method leveraging loan and economic factors to produce monthly projections of credit loss.
Discounted Cash Flow with Probability Default: The Discounted Cash Flow with Probability of Default (DCF-PD) method uses many of the same components as the PD method but utilizes a different framework. Monthly probabilities of default and prepay are both produced with the discrete time survival models. Instead of applying them with LGD, they are used to estimate future monthly cash flows.