Funds Transfer Pricing: A Practical Guide for Regional Banks

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Author

Maggie Leoffler

Head of Marketing

Key Takeaway

Funds transfer pricing (FTP) is a framework that banks can use to determine profit margins and the underlying drivers of revenue and costs for different product segments.

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Funds transfer pricing (FTP) is a fundamental concept in banking performance management. It allows institutions to analyze the profitability of various product lines, such as deposits, loans, and credit lines.

FTP is done entirely within an organization, with allocations to funding costs made to measure balance sheet performance. Notably, it’s different from transfer pricing used in tax planning, which instead deals with the transactions between two separate entities.

When implemented correctly, FTP helps banks gain transparency into true costs, expenses, and overall margins. This information can then be used to drive better pricing decisions and further align various departments within a bank.

This guide will cover the FTP definition, how calculations are done, methodologies, and best practices.

What Is Funds Transfer Pricing in Banking?

Funds transfer pricing is a framework that banks use to allocate costs and benefits across their balance sheet. In practice, a bank uses FTP to assign a transfer rate to specific items, such as deposits and loans. Banks gain a clearer view of how each product contributes to profit margins under FTP, meaning they can measure profitability more accurately.

So, what is funds transfer pricing in banking? Fundamentally, FTP helps banks evaluate funding and loan product performance independently. Funded loans, for example, receive an internal charge based on the cost of funds, while deposits receive a credit for the additional liquidity provided. This allows teams to identify individual product margins and profitability drivers better.

Banks can use FTP to strengthen balance sheet management. By associating transfer rates with liquidity assumptions, banks can improve alignment with asset and liability management in profitability analysis. The result here is that it makes it easier to identify how rate movements and deposit behavior impact margins and performance.

Why Funds Transfer Pricing Matters for Regional Banks

Regional banks use funds transfer pricing frameworks to reveal which products and programs contribute to bank profitability. With it, banks can improve:

  • Profitability Measurement: By assigning a funding cost to assets and a funding credit to liabilities, FTP helps banks perform more detailed and accurate profitability measurement analysis to identify margin contributions by product line.
  • Funding Cost Allocation: By tying funding rates to market curves rather than broad averages, FTP helps banks allocate funding costs more consistently and transparently.
  • Deposit and Loan Pricing: With clearer insight into costs and interest rate risk, banks can implement better pricing strategies that reflect true economic value and competitive conditions.
  • Strategic Decision Support: With a shared, data-driven view of performance, finance, product, ALCO, and risk management teams can make more informed decisions to align pricing and improve profitability.

When FTP is implemented effectively, banks get a clearer look into profitability, allowing them to make strategic, data-driven operational decisions.

Core Components of a Funds Transfer Pricing Framework

An effective FTP framework helps banks identify profit-margin drivers across products and allocate costs precisely, ensuring profitability is measured consistently. While exact methodologies can vary by bank, effective FTP frameworks commonly contain the following:

  • Funding Curve Development: Shows a bank’s cost of funds based on market rates, wholesale funding costs, and internal funding sources.
  • Liquidity Premium Adjustments: Accounts for the cost of maintaining necessary liquidity levels and ensures assets requiring higher liquidity levels are priced correctly.
  • Term Structure Considerations: Aligns the durations of assets and liabilities with the funding curve to support profitability analysis aligned with ALM assumptions.
  • Behavioral Assumptions: Relies on behavioral assumptions to project duration and cash flow patterns for balance sheet items that do not have fixed maturity terms.
  • Governance and Oversight: Ensures that processes remain transparent, well-documented, and applied consistently.

Funds Transfer Pricing Calculation Explained

In funds transfer pricing, banks assign a funding rate to each asset and liability on the balance sheet. These rates reflect the bank’s cost of funds and potential risk factors.

A general formula for FTP could look like this:

FTP Rate = Base Funding Curve + Liquidity Premium + Optional Adjustments

In this sample FTP formula, each component represents a different aspect of the bank’s funding structure:

  • Base Funding Curve: The bank’s cost of funds, usually obtained from market benchmarks and wholesale funding costs.
  • Liquidity Premium: The costs associated with maintaining an adequate level of liquidity. Here, longer-term assets or more volatile assets often require a higher premium for the FTP calculation.

Optional Adjustments: Other risk factors and costs specific to the bank.

H3: Calculating FTP

A bank is considering a three-year commercial loan. To calculate the FTP rate, the bank’s finance department utilizes the following data inputs:

  • Base Funding Curve: 2.80%
  • Liquidity Premium: 0.50%
  • Optional Adjustment: 0.20%

Plugging those numbers into the formula produces the following result:

FTP Rate = 2.80% + 0.50% + 0.20%
FTP Rate = 3.50%

This 3.50% is the bank’s internal funding charge. By subtracting this from what it charges a customer, the bank can calculate the net interest margin on this commercial loan.

Common FTP Methodologies

FTP can be applied in several ways, depending on the complexity of a bank’s processes and the level of accuracy required. The following are common methodologies banks can utilize:

  • Matched Maturity Approach: Allocates funding costs based on the term of each asset and liability. It provides high accuracy but requires detailed modeling and more complex datasets to be used correctly.
  • Pooled Funding Approach: Uses an average cost of funding across portfolios, instead of matching costs to individual assets. This method is relatively simple to apply, but it tends to be far less precise.
  • Spread-Based Models: Assigns a spread over a base funding curve to estimate the cost of funds. This method is easy to apply, but it tends to oversimplify risk factors.
  • Hybrid Approaches: Combines methods from the above methodologies to balance the pros and cons of each. It can require a higher level of governance to ensure consistency and transparency.

Best Practices for Funds Transfer Pricing

Effectively implementing funds transfer pricing requires banks to select the right methodology and ensure process consistency, governance accountability, and risk management alignment. Without those steps, FTP results may be neither actionable nor accurate.

Leading institutions adopt the following best practices when it comes to utilizing FTP:

  • Align FTP With ALM: Ensure risk management decisions are based on consistent results.
  • Update Funding Curves Regularly: Ensure changes in funding costs and market conditions reflect recent events.
  • Incorporate Liquidity Premiums: Gain more realistic profitability and pricing insights by considering the cost of maintaining reserves for liquidity.
  • Ensure Transparency: Improve alignment across departments by maintaining clear documentation of FTP assumptions and calculations.
  • Avoid Spreadsheet Silos: Centralize systems to improve accuracy and consistency of data assumptions and outputs for audits.
  • Integrate With Profitability Analytics: Ensure funding costs are factored into strategic decisions and changes.

Integrating FTP With ALM and Profitability

When funds transfer pricing is integrated with ALM and profitability analysis, banks get a shared foundation of data and modeling frameworks. This integration can provide banks with a more consistent enterprise-level view of balance sheet performance and profitability.

Teams can operate based on shared assumptions when profitability analyses and metrics reflect the same economic context used in risk management and strategic planning. When banks tie FTP to ALM funding curves and rate scenarios through shared assumptions, they can produce net interest income forecasts that predict how margins may be affected under various scenarios.

With FTP integration, forecasts factor in liquidity premiums and costs. Teams can use these forecasts to determine the value of stable deposits and risk on margins during liquidity stress testing.

Empyrean’s Performance Management tools support this level of integration within a single unified platform. It allows banks to more quickly and accurately analyze profitability drivers to make better strategic decisions.

Choosing the Right Funds Transfer Pricing Software

Choosing the right funds transfer pricing software is fundamental in building a reliable FTP framework. Organizations should select one that can handle the level of complexity expected for their balance sheet behaviors and regulatory requirements.

The right FTP software balances:

  • Bank-Specific Modeling: The software should be able to tailor funding curves and behavioral assumptions to the bank’s balance sheet to capture the nuances of products like loans and deposits.
  • Scenario Capability: Internal finance and risk management teams should be able to quickly evaluate how different market change scenarios and assumptions could affect profitability.
  • Integration With ALM: Banks should be able to use the software to align assumptions, data, and forecasts with risk management for consistent decision-making.
  • Governance and Audit Readiness: Banks should be able to control access for internal and external users to maintain transparency and provide clear, defensible audit trails for regulators and stakeholders.

How Empyrean Supports Funds Transfer Pricing

An effective funds transfer pricing framework often involves integrating it with a bank’s other platforms and systems. This commonly includes ways to connect FTP with forward-looking projections, risk management, balance sheet strategy, and profitability measurement.

Empyrean’s Performance Management platform can integrate FTP with ALM to ensure consistency in a bank’s assumptions across various market conditions and interest rate scenarios. This allows risk management and finance teams to move in unison and streamline strategic discussions for how margins can be improved.

Empyrean’s platform also supports advanced profitability analytics. This effectively allows banks to measure profitability across multiple products at a more granular level. The result is a system that identifies what is driving profit margins for each product segment.

Finally, Empyrean enables banks to engage in scenario modeling. This can help institutions understand how changes in market conditions affect performance.Learn how Empyrean Funds Transfer Pricing can support your bank’s operations with the right strategy. You can also request a demo to see it in action and explore how your institution’s performance and risk management workflows can be strengthened.

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FAQ: Funds Transfer Pricing

What Are the Most Common Funds Transfer Pricing Methodologies Used by Banks?

Banks use four common methodologies:

  • Matched maturity models align costs with the terms of each asset.
  • Pooled funding takes an average cost across an entire portfolio.
  • Spread-based models use a spread over a base funding curve to estimate the cost of funds.
  • A hybrid approach can combine methodologies.

For a deeper understanding and walkthrough of FTP strategies, watch the Understanding Funds Transfer Pricing Webinar.

How Often Should Banks Update Their FTP Assumptions?

FTP assumptions should be reviewed and updated regularly in response to market conditions, model governance, and changes in balance sheet behavior.

How Does Funds Transfer Pricing Impact Loan and Deposit Pricing Decisions?

Funds transfer pricing is designed to provide transparency into the margins achieved by various products and services. It also provides the key drivers of profitability. As a result, FTP helps banks price their products optimally, improving revenue and long-term profitability.

What Risks Arise From Poorly Designed Funds Transfer Pricing Models?

Unsound FTP systems can lead to poor strategic decisions. This can be due to inaccurate data or misaligned assumptions, leading to an incorrect evaluation of funding costs. This false sense of transparency and insight can lead to suboptimal product pricing and reduced margins over time.