Skip to main content
← Back to A Definitions

Acquired prepayment speed

What Is Acquired Prepayment Speed?

Acquired prepayment speed refers to the actual, observed rate at which the principal of a pool of debt instruments, most commonly mortgage-backed securities (MBS), is paid down before its scheduled maturity. This metric is a critical component within [Fixed Income Analytics], providing investors with a real-world measure of how quickly underlying loans are being terminated, either through full repayment, sale of the collateralized asset, or [refinancing] by the borrower. Unlike projected prepayment rates derived from complex models, acquired prepayment speed reflects the true historical behavior of a specific pool of assets, directly impacting the [cash flow] and [yield] for investors. Understanding acquired prepayment speed is essential for assessing [prepayment risk], which is the primary risk for MBS investors.

History and Origin

The concept of prepayment speed became increasingly vital with the advent and growth of the [secondary mortgage market] and the securitization of mortgages. While early forms of mortgage securitization existed, the modern U.S. MBS market is often dated to the issuance of the first agency MBS by Ginnie Mae in 1970.12 As [securitization] expanded, particularly through entities like Fannie Mae and Freddie Mac, investors needed ways to quantify the unpredictable nature of mortgage payoffs. The actual behavior of borrowers, influenced by factors such as prevailing [interest rates] and housing market conditions, directly translated into the acquired prepayment speed of these pooled assets.

During the U.S. housing market boom in the early 2000s and leading up to the 2008 financial crisis, understanding acquired prepayment speeds became particularly critical. Subprime mortgages originated between 1998 and 2006 exhibited very high prepayment rates, often through borrowers refinancing in a rising house price environment to avoid default.11 This period highlighted the significant impact of real-world borrower behavior on the performance of MBS, underscoring the importance of analyzing actual, or acquired, prepayment speeds. The ability of financially distressed borrowers to prepay their loans by refinancing or selling property was crucial in understanding the subprime crisis.10

Key Takeaways

  • Acquired prepayment speed measures the actual, historical rate at which the principal of a loan pool, typically in mortgage-backed securities, is paid off ahead of schedule.
  • It directly influences the cash flow, average life, and yield of investments like MBS.
  • Factors such as prevailing interest rates, housing market conditions, and borrower behavior drive acquired prepayment speeds.
  • High acquired prepayment speeds can expose investors to reinvestment risk if interest rates have fallen.
  • Low acquired prepayment speeds may extend the effective [duration] of an investment, particularly if interest rates have risen.

Formula and Calculation

While "Acquired Prepayment Speed" itself isn't a single formula but rather an observed phenomenon, it is commonly measured using established metrics that quantify prepayment behavior. The two most common ways to express and calculate observed prepayment rates are the Single Monthly Mortality (SMM) and the Conditional Prepayment Rate (CPR).

The Single Monthly Mortality (SMM) rate represents the percentage of the remaining principal balance of a mortgage pool that is prepaid in a given month.

SMM=Prepaid Principal for MonthBeginning Scheduled Principal Balance for MonthScheduled Principal Payment for Month\text{SMM} = \frac{\text{Prepaid Principal for Month}}{\text{Beginning Scheduled Principal Balance for Month} - \text{Scheduled Principal Payment for Month}}

The Conditional Prepayment Rate (CPR) annualizes the SMM, providing a more intuitive annual rate of prepayment.

CPR=1(1SMM)12\text{CPR} = 1 - (1 - \text{SMM})^{12}

These calculations provide the numerical basis for the "acquired prepayment speed" observed for a pool of mortgages or other [asset-backed securities]. For instance, a CPR of 6% means that, on an annualized basis, 6% of the remaining mortgage principal in the pool is expected to prepay over the next year.9 The SMM and CPR are fundamental for analyzing the cash flow characteristics of [bonds] that are subject to prepayment.

Interpreting the Acquired Prepayment Speed

Interpreting the acquired prepayment speed involves understanding its implications for the investment's performance and risk. A higher-than-expected acquired prepayment speed, particularly when [interest rates] have declined, means that investors receive their principal back faster than anticipated. While this might seem positive, it carries [reinvestment risk]—the risk that the returned principal will have to be reinvested at lower prevailing interest rates, reducing overall returns. Conversely, a lower-than-expected acquired prepayment speed, especially when interest rates have risen, means that the average life of the security extends, keeping investors locked into lower-yielding assets for longer. This exposes investors to negative [duration] effects, as the value of their holdings decreases more significantly with rising rates.

8For example, if a pool of [fixed-rate mortgages] has an acquired prepayment speed that is significantly higher than initially projected, it indicates that borrowers are rapidly refinancing or selling their homes. This could be due to a sharp drop in market interest rates or a booming housing market. Investors in the corresponding mortgage-backed security would receive their principal back quickly, facing the challenge of finding new investments with comparable yields.

Hypothetical Example

Consider an investment in a pool of mortgage-backed securities with an initial aggregate principal balance of $10,000,000. For a given month, after accounting for scheduled principal payments, the adjusted beginning balance is $9,900,000. During this month, actual prepayments of $50,000 occur.

To calculate the acquired prepayment speed for that month using SMM:

SMM=$50,000$9,900,000(scheduled principal payment)\text{SMM} = \frac{\$50,000}{\$9,900,000 - (\text{scheduled principal payment})}

Let's assume the scheduled principal payment for the month was $30,000.

SMM=$50,000$9,900,000$30,000=$50,000$9,870,0000.005066\text{SMM} = \frac{\$50,000}{\$9,900,000 - \$30,000} = \frac{\$50,000}{\$9,870,000} \approx 0.005066

To annualize this into CPR:

CPR=1(10.005066)121(0.994934)1210.93980.0602 or 6.02%\text{CPR} = 1 - (1 - 0.005066)^{12} \approx 1 - (0.994934)^{12} \approx 1 - 0.9398 \approx 0.0602 \text{ or } 6.02\%

This 6.02% CPR represents the acquired prepayment speed for this particular pool over that month, annualized. If this speed is significantly different from what was initially projected when the MBS was purchased, it will impact the investor's actual [cash flow] and effective yield.

Practical Applications

Acquired prepayment speed is a vital metric for participants across the financial markets, particularly those involved with fixed-income instruments sensitive to early principal returns.

  1. MBS Valuation and Trading: Investors and traders in the [mortgage-backed securities] market constantly monitor acquired prepayment speeds to assess the true value and behavior of their holdings. Divergences between actual and expected prepayment speeds can significantly alter the investment's effective [duration] and [yield].
  2. Risk Management: Financial institutions, including banks and investment firms, use acquired prepayment speeds to manage [prepayment risk] in their portfolios. For example, Fannie Mae and Freddie Mac, government-sponsored enterprises (GSEs) chartered to promote homeownership, play a significant role in the secondary mortgage market by purchasing mortgages and issuing MBS. They guarantee against [default risk], but investors still bear prepayment risk., 7T6he Federal Housing Finance Agency (FHFA) regulates these entities and aims to align their prepayment speeds to ensure market stability.
    35. Financial Modeling: While proprietary models forecast prepayment behavior, the acquired prepayment speed provides the real-world data necessary to refine and validate these models. Observed prepayment patterns, such as those seen during the 2008 financial crisis, feed back into the development of more robust prepayment models for future market analysis.
    44. Portfolio Management: Portfolio managers adjust their holdings based on acquired prepayment speeds to maintain target durations and yield profiles. If a portfolio of MBS is experiencing faster-than-anticipated prepayments, the manager might need to reinvest the returned principal to maintain the desired level of income or interest rate exposure.

Limitations and Criticisms

While acquired prepayment speed provides crucial real-world data, it has inherent limitations as a standalone analytical tool. Its primary criticism stems from its backward-looking nature; it describes what has happened, not what will happen.

  1. Lack of Predictive Power: Acquired prepayment speed alone does not offer predictive insights into future prepayment behavior. Financial models attempt to forecast prepayments based on various economic factors like [interest rates] and housing prices, but these models have historically shown unreliable forecasting effectiveness due to the complex, non-linear, and volatile nature of prepayments.
    23. Market Dynamics: Prepayment behavior is influenced by a multitude of dynamic factors beyond just interest rate differentials, including borrower demographics, economic conditions (e.g., employment, income growth), housing supply, and even behavioral biases. A2n acquired prepayment speed at one point in time might not be indicative of future behavior if these underlying market conditions change.
  2. Burnout Effect: Pools of mortgages that have already experienced significant prepayments during periods of low interest rates may exhibit "burnout," meaning the remaining borrowers are less likely to refinance even if rates drop further (e.g., due to poor credit, lack of equity, or other reasons). Acquired prepayment speed from historical data might not capture this nuanced behavior accurately for the remaining loans in a pool.

1The challenge for investors is to integrate historical acquired prepayment speeds with sophisticated prepayment models to better anticipate future [cash flow] and manage [prepayment risk].

Acquired Prepayment Speed vs. Public Securities Association (PSA) Model

The key distinction between acquired prepayment speed and the [Public Securities Association (PSA) Model] lies in their nature: acquired prepayment speed is an observed historical rate, while the PSA Model is a standardized projection or benchmark.

FeatureAcquired Prepayment SpeedPublic Securities Association (PSA) Model
NatureActual, historical, or observed rate of principal payoff.A standardized benchmark for projecting future prepayment rates.
Data SourceReal-time or historical performance data of a specific loan pool.A hypothetical curve based on assumptions about typical mortgage prepayment behavior.
PurposeTo understand past and current borrower behavior and its impact on cash flows.To provide a common framework for comparing MBS and estimating future cash flows and yields under various prepayment scenarios.
VariabilityHighly variable, reflecting actual market conditions and borrower actions.Smooth and predictable, increasing gradually over time to a constant rate (e.g., 100% PSA assumes a CPR of 0.2% in the first month, increasing by 0.2% per month to 6% CPR at 30 months, then remaining constant).
ApplicationAnalyzing past performance, validating models, understanding realized risk.Pricing MBS, conducting scenario analysis, comparing different MBS tranches, structuring [Collateralized Mortgage Obligation] (CMOs).

While acquired prepayment speed tells investors what has happened, the [Public Securities Association (PSA) Model] is used to project what might happen under a set of standardized assumptions. Investors often compare the acquired prepayment speed of a particular MBS to various PSA speeds (e.g., 100% PSA, 200% PSA) to gauge whether the security is prepaying faster or slower than the market benchmark.

FAQs

What causes high acquired prepayment speeds?

High acquired prepayment speeds are primarily driven by factors that incentivize borrowers to pay off their mortgages early. The most common cause is a significant drop in prevailing [interest rates], which prompts borrowers to [refinancing] their loans at a lower rate. Other factors include a strong housing market that encourages home sales, or borrowers making extra principal payments.

How does acquired prepayment speed affect MBS investors?

Acquired prepayment speed directly impacts the [cash flow] and effective maturity of [mortgage-backed securities] (MBS). If the speed is higher than expected, investors receive their principal back sooner, which might lead to [reinvestment risk] if market interest rates have declined. If the speed is lower than expected, the average life of the MBS extends, potentially locking investors into lower-yielding assets if rates have risen.

Is acquired prepayment speed the same as default?

No, acquired prepayment speed is not the same as [default risk]. Prepayment refers to a borrower paying off their loan ahead of schedule, typically in good financial standing (e.g., through refinancing or selling the property). Default, on the other hand, occurs when a borrower fails to make scheduled loan payments, leading to potential foreclosure. Both affect the cash flow of a mortgage pool but represent distinct borrower behaviors.

Why is acquired prepayment speed important for valuing mortgage-backed securities?

Acquired prepayment speed is crucial for valuing [mortgage-backed securities] because it determines the actual timing of principal repayment to investors. The timing of these cash flows directly affects the security's actual [yield] and [duration]. An investor's expected return is highly dependent on how closely the acquired prepayment speed aligns with their initial projections or the assumed rates used in an [option-adjusted spread] calculation.