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Tag: stress testing

SVB lawsuit reinforces the cost of weak model assumptions

By Michael Gerbick; president, Young & Associates

Last year the FDIC filed a lawsuit against 17 former executives and board directors of Silicon Valley Bank (SVB) for alleged negligence and breach of fiduciary responsibility, which led to the collapse in March 2023. We all know what happened with SVB and the other institutions that failed around this time in 2023.

I reviewed the FDIC’s lawsuit again this year, given the current rate environment. A particular section of the lawsuit sticks out to me on assumption adjustments extending the average life of deposits and resulting EVE at risk after the adjustment.

“As reported in a May 24, 2022, presentation to the Asset Liability Management Committee, SVB’s officers implemented this plan by changing the curtailment assumption from 5.5 to 12 years…. Without any valid justification for the change.”

SVB Graph

Why you need to justify your model assumptions

Many ALM and Liquidity models continue to improve with the integration of institutions’ core systems and considering additional details of your assets and liabilities. The institution’s model assumptions and governance remain critical to the reliability of the model’s forecasts. Model assumptions should be supported, reasonable, and appropriate. Strong governance also includes documentation of model development and validation that is sufficiently detailed to allow parties unfamiliar with a model to understand how the model operates, as well as its limitations and key assumptions. Assumptions reflect our prediction of customer behavior. Because behaviors can change quickly, institutions should review assumptions regularly. A method to identify risk is to stress these assumptions.

Specific to liquidity modeling and deposits, I want to dive into a few assumptions for stress testing. As we have exited the pandemic environment of zero rates and the rapid hike of 550 bps, we learned a considerable amount regarding customer behaviors. First and foremost, assumptions that modelers applied to historic trends may not translate the same way today. The rate increases and available technology created an environment where savvier depositors now demand a higher rate of return on what institutions once viewed as less price-sensitive core deposit categories.

Regarding liquidity, institutions had to provide more competitive pricing on their non-maturities, different products (perhaps CDs with higher rates of return), or experience runoff and leverage wholesale funding at a higher rate than they were accustomed to with the core deposit. Historic customer behavior trends of the past are a key component, but not the only component for developing assumptions to the models.

That rate environment is in the past, but the savvy customer remains in today’s environment. The deposit composition at many institutions changed. Customers are comfortable leveraging technology to move money in and out of an institution to a more favorable situation, no longer assumed to be as loyal as they once were. It is not a conclusion that behaviors experienced in 2020-2023 will remain, but it is prudent to consider the technologies available today and this history in how institutions establish model assumptions and stress testing. The stress tests should reflect the specific institution, risk profile, and hypothetical scenarios.

A set of valuable stress levers for consideration are:

  • Runoff by deposit type and customer (if available). Historic trends may be helpful for a baseline, but the rate environments these trends may be based on could be from 5+ years ago.
    • Regulators encourage institutions to review and stress the rate of runoff. More competitors exist today in local markets with online banks, fintech and brokerages. Consider various product types and how customers may react under various stresses. Scenarios may include only retaining a percentage of CD balances, Money Markets runoff may be different than Savings accounts or Large Uninsured Deposits. If the ability to review customer level behavior focused on movement between accounts, the institution may be able to incorporate insights into the overall stress tests. Strategic plans may follow the insights gained from the stress tests.
    • Leverage the customer level behavior knowledge for strategies to provide more valuable products and services, consider digital marketing efforts (and partners), consider total relationship (deposits) when a new lending relationship develops.
  • Access to Wholesale Funding.
    • Consider haircuts on availability or inability to access line of credits from providers. Consider stress scenarios in which management cannot access brokered deposits they rely on to offset core deposit runoff.
    • Some institutions have agreements in place but do not regularly leverage wholesale funding. Testing these lines (at least) annually helps ensure personnel know how to quickly access the funds, minimizing risk of disruption when it comes time to leverage them.

The lawsuit above accuses SVB of adjusting its assumptions without justification. I encourage you to review and stress yours. Customer behaviors can change swiftly. Reviewing what customers are doing today at your institution and thinking through the impact those behaviors may have on your liquidity if they remain stable and what risks appear should those behaviors become more severe could provide you with useful information you can use today to protect your bank tomorrow.

I’m interested in how your institution establish assumptions and stress test scenarios. I would welcome any conversation on this topic. You can email me at mgerbick@younginc.com with any thoughts!


Reviewing and stress‑testing your assumptions is key to managing liquidity risk. Young & Associates can help your institution strengthen its liquidity framework and meet evolving regulatory expectations. If we can assist your institution in these areas, contact us today.

6 key components of effective credit stress testing

When your financial institution is conducting a credit risk stress test, it’s imperative that your test has several key components for effective testing. As your trusted financial guide, at Young & Associates, we’ll walk you through the process. In this blog post, we’ll explore the key components of effective credit stress testing.  

1. Comprehensive scenario design 

This is the single most important component in creating an effective credit stress test. They say that success is 90% planning and 10% perspiration. While the exact percentages may vary, the message still stands. Planning is important! When you’re designing your credit stress scenario, be sure that you have taken into account the following:  

  • Interest rates 
  • Economic growth
  • Industry-specific risks such as collateral value of special use property 

2. High-quality data

The quality of a statistical model is only as good as the data it’s built upon. So, when you’re collecting your data, do your due diligence to ensure that it’s:  

Complete and accurate: Missing data or incorrect data will create skewed outcomes that lead to inaccurate results 

Uniform: When you’re consolidating data from several sources, it’s important to ensure that the format and measurements are uniform over time. Be sure to test at least a few samples of the data for accuracy. 

Timely: When you’re forecasting credit stress, it’s preferable to use data from within the past 3-6 months. The economy is affected by many things, so data that is more current will more accurately reflect the current situation.  

Unique: If you’re combining data sets, it’s all too easy to get duplicates. Be sure to review the data sets to ensure that the data is not replicated elsewhere. Duplicate data can skew the results and lead to inaccurate assumptions. Examples would include property collateralizing multiple loans. It is best to consolidate these loans into one for collateral and NOI purposes. 

Relevance: Is the data that is included in the credit stress test actually relevant to the test? You may be familiar with Karl Pearson’s famous phrase, “correlation does not imply causation.” It’s good to have a working knowledge of economics so that you can draw accurate conclusions from the data and the causes for the outcome. 

3. Robust models and methodologies 

If financial institutions want to test their credit stress with integrity, it’s important that they use robust models and methodologies to measure the risk under various circumstances.  To achieve this, be sure the model you are using bases its testing on consistent data and data that is relevant to current or future economic outcomes.  

4. Adequate portfolio selection 

To obtain an accurate credit risk stress test for a specific loan portfolio (we recommend doing this), then it’s important to include a representative sample size for each segment of your portfolio (bottoms-up approach). However, if the sample size is small, Young & Associates will use call report data to back-fill the rest of the portfolio and use industry standards to stress the portfolio of loans not individually stressed (top-down approach). By including “the rest of the portfolio” Young & Associates can cover the entire portfolio without the financial institution having to gather all that data on smaller loans and accurately reflect the credit risk of your financial institution.  

5. Credit stress scenario and sensitivity 

By now, you are familiar with the preparation for a credit stress test, but another key component is the execution. What are the metrics that you’re measuring to indicate the credit risk of your bank or credit union? Credit stress tests measure several specific metrics, including credit losses, capital requirements and default rates  and the sensitivity to those risks. This highlights the metrics that heavily influence the results and can indicate the robustness of the model.

6. Risk aggregation and reporting 

Like any work, the communication of that data is just as important as the data itself. After the calculations are made, gather the outcomes and associated risks, while adding your insights for how to improve those risks. Young & Associates will go through the stress test report in detail with you and indicate issues in the report including specific borrowers that show greater risk. Young & Associates is also able to present the findings of the report to your board audit committee, and senior management if desired.   

Connect with a consultant 

Credit stress testing can sometimes feel overwhelming. We understand. Financial institutions exist to create stability for others, so when your bank or credit union is required to document the stress on your system, it can feel daunting. That’s where Young & Associates comes in. With unmatched expertise, you can trust us to guide your financial institution even when the future may seem unclear. Contact us today to learn more about our consulting and educational services.  

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