Bank stress — Implications for model development and governance

Overview

4 key takeaways on the current banking sector stress and implications for model development, governance and stress testing:

  • Changes to model assumptions can have a significant impact on business and risk management decisions - as such, companies should have a well-governed change management process

  • Institutions should review their business and risk modeling –– on which scenario analysis and stress testing analyses depend heavily –– and improve outdated models or build new models to meet heightened supervisory expectations

  • New regulations could require more banks to comply with stress testing rules, driving increased requirements for complex modeling capabilities at more institutions

  • A model management platform such as Model Edge can help companies develop models faster and better handle emerging risks and regulatory reviews.

Improving risk management in banks with better model development and governance

In March 2023, US consumers and companies were reminded of the importance of bank liquidity, strong balance sheets and effective interest rate risk management practices.

While the rapid actions taken by governments and banks, both domestically and internationally, helped to instill some confidence and preserve stability in the US and global financial system, the full ramifications of this most recent stress event will take some time to play out. 

From a regulatory perspective, supervision will likely intensify. Treasury Secretary Janet Yellen’s recent speech highlighted the “need to reexamine our current regulatory and supervisory regimes'' and Fed Chair Jerome Powell has pledged support for recommended changes. Upcoming Congressional hearings will likely shed further light on changes. 

Regulators may require institutions to undertake more frequent and detailed liquidity reporting and engage in more rigorous stress testing. Regulators will also likely increase their supervision of risk management practices and their scrutiny of internal audit coverage of a bank’s financial risk management processes. At a policy level, they’ll likely re-evaluate the risk management requirements levied on banks with less than $250 billion in assets, particularly with regards to liquidity and capital ratios, risk management and reporting.

At the same time, the industry could see more consolidation among smaller and mid-sized banks as institutions join forces to create stronger organizations. If that happens, organizations that may not have been subject to the current regulations may suddenly be forced to undergo stress testing. Even more institutions may become subject to those requirements if parts of the Dodd-Frank Act that relaxed reporting requirements on smaller institutions are rolled back to pre-2018 rules, when stress testing covered institutions with at least $50 billion in total consolidated assets.

If regulators implement new stress testing requirements, they will closely scrutinize a company’s models, including around credit risk, market risk, financial crime, capital and stress testing - as stress testing is primarily driven by models. The problem? Many smaller banks don’t have sophisticated models, either because they have small internal modeling teams (if they have a team at all) or they have a limited amount of internal data with which to develop models. They then have to rely on vendor models that come with limitations.

Meeting demands while managing risk

Going forward, banks should invest to make sure their models and model development and governance processes are fit for purpose. They’ll need to review any outdated models and potentially create new ones to satisfy evolving market and regulatory conditions. That includes models used to measure and manage fraud, liquidity, capital, credit risk and more.

For example, the significant movement in funds between institutions caused by the stress creates a heightened risk of financial fraud as bad actors seek to take advantage of a system under duress. Anti-fraud models will likely be put to the test in real-time, and banks who have re-calibrated their models may be better suited to endure the strain. To help build the kind of confidence companies, consumers and regulators are now looking for from their institutions, they’ll need to evaluate, and likely adjust, their fraud detection controls. This should include an evaluation of identity proofing, authentication, and rules and models to account for the latest fraud risks.

Building effective model governance

As a result of stricter regulation and a renewed focus on modeling, banks will need to increase the volume and sophistication of their models, and better support model governance and model development processes with more sophisticated technology.

Fortunately, there are solutions on the market that can help develop risk models and help banks document, manage, and ultimately improve how they report their models to internal and external stakeholders. Model Edge, a PwC product, is a model management platform that can be used to govern and manage the development and documentation of an organization’s models. Specifically, the platform can help banks efficiently manage advanced models and operating programs, and better equip them to handle emerging risks and regulatory reviews. It can also help strengthen compliance programs with increased transparency and clear audit trails that make model validation efforts and regulatory examinations more efficient as well.

As a cloud-based platform, Model Edge provides end-to-end management, monitoring and governance of a financial institution’s enterprise risk models. It can decrease time spent on manual and repetitive tasks, centralize all aspects of enterprise modeling programs and accelerate turnaround times while reducing human error. One Model Edge customer that once spent upwards of 30 days calibrating and monitoring risk model performance was able to cut that task down to just one day.

Ready to grow

The recent stress events in the US banking system will likely have a significant impact on companies of all sizes. Whether it’s smaller organizations needing to comply with stricter rules or larger ones having to deal with an influx of safety-seeking clients, banks should be ready to withstand additional pressures––and seize new opportunities to expand their business. 

Maintaining a strong risk management and compliance posture in a disruptive environment might be daunting, but solid model development and governance can help give banks a competitive advantage, while a tool like Model Edge can help management effectively manage its model development while also managing time and costs.

To learn more about Model Edge, visit us here.

Model Edge

Streamline model risk management and model governance with a cloud-based platform that accelerates the end-to-end model lifecycle, giving you tools, templates and test scripts to identify and manage risk more effectively.

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