Interest Rate Sensitivity of Callable Bonds and Higher-Order Approximations

Certain fixed-income securities, such as callable bonds and mortgage-backed securities subject to prepayment, typically exhibit negative convexity at low yields and cannot be adequately immunized through duration and convexity-matching alone. To address this residual risk, we examine the concepts of bond tilt and bond agility. We provide explicit calculations and derive several approximation formulas that incorporate higher-order terms. With the help of these methods, we are able to track the price-yield dynamics of callable bonds remarkably well, achieving mean absolute errors below 2.5% across a wide variety of callable bonds for parallel yield shifts of up to ±200 basis points.

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Publication Details

Journal
Risks
Published
2025-04-01
DOI
https://doi.org/10.3390/risks13040069
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Interest Rate Sensitivity of Callable Bonds and Higher-Order Approximations

Stefanos Orfanos, S. Dow
Risks
Stochastic processes and financial applications
article

Interest Rate Sensitivity of Callable Bonds and Higher-Order Approximations

Stefanos Orfanos, S. Dow
article en

Abstract

Certain fixed-income securities, such as callable bonds and mortgage-backed securities subject to prepayment, typically exhibit negative convexity at low yields and cannot be adequately immunized through duration and convexity-matching alone. To address this residual risk, we examine the concepts of bond tilt and bond agility. We provide explicit calculations and derive several approximation formulas that incorporate higher-order terms. With the help of these methods, we are able to track the price-yield dynamics of callable bonds remarkably well, achieving mean absolute errors below 2.5% across a wide variety of callable bonds for parallel yield shifts of up to ±200 basis points.

RisksVol. 13(4)
Georgia State University (US)
Openalex Percentile: Top 91%
Stochastic processes and financial applications
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