Glossary/Fixed income

Mortgage-Backed Security

Also known as MBS, Mortgage-backed bond

A mortgage-backed security is a debt security supported by cash flows from a pool of residential or commercial mortgage loans.

Editorially reviewed 2026-07-31

Why mortgage-backed security matters

It channels capital to property lending and can provide income, but borrowers can prepay, default, refinance, or extend cash flows, making timing and rate sensitivity uncertain.

How it is applied

Analysts evaluate collateral, borrower credit, loan-to-value, geography, seasoning, servicer, guarantee, structure, tranche, prepayment model, spread, duration, and stressed cash flows. Analyze mortgage collateral, borrower characteristics, geography, coupon, seasoning, servicer, guarantee, payment waterfall, prepayment, delinquency, default, recovery, and extension. Cash-flow models project monthly principal and interest under rate, housing, and credit scenarios. Agency and non-agency structures require different credit analysis.

Portfolio example

Homeowners refinance after rates fall, returning principal to the security earlier than expected. Investors must reinvest while the MBS loses some potential price appreciation. A premium mortgage pool trades at 104. Falling rates prompt refinancing, returning principal near 100 faster than expected and shortening income. If rates rise, prepayments slow, average life extends, and price becomes more sensitive just as yields move against the investor.

How to interpret it

Agency support can reduce credit risk without eliminating rate, prepayment, extension, liquidity, or model risk. Yield should be interpreted with option-adjusted measures. MBS yield compensates for interest-rate, prepayment, extension, liquidity, and sometimes credit risk. Negative convexity means duration can lengthen when rates rise and shorten when rates fall. Seniority and guarantees determine which risks a particular security bears.

Limitations and common misconceptions

Borrower behavior changes across regimes, models can fail, and housing prices, unemployment, servicing, documentation, and market liquidity affect results. Commercial pools have distinct concentration and balloon risks. Prepayment models can fail when policy, underwriting, borrower behavior, or refinancing capacity changes. Guarantees may cover credit but not market-price or prepayment loss. Complex tranches redistribute cash unpredictably under stress. Quoted yields are assumption dependent and should be scenario tested. Investors should review model output across conditional prepayment rates and rate shocks, showing yield, duration, and average life together. Dollar price alone is insufficient because two bonds at the same price can have different premium, collateral, and option exposure. Servicer advances and modification practices can materially change payment timing even before ultimate credit loss occurs.

Sources and further reading