Author
Listed:
- Aishwarya Malhotra
(Department of Computer Science, Metropolitan College, Boston, MA 02215, USA)
- Saiteja Puppala
(Department of Computer Science, Metropolitan College, Boston, MA 02215, USA)
- Eugene Pinsky
(Department of Computer Science, Metropolitan College, Boston, MA 02215, USA)
Abstract
We examine a simple duration-rotation strategy applied to six U.S. Treasury ETFs spanning the full maturity spectrum, using data from 2007 to 2025. At each semi-annual rebalancing date, ETFs are ranked by prior-period return and divided into three equal groups—Winners, Median, and Losers. Contrary to conventional momentum logic, the middle group consistently outperforms. The Median strategy grows USD 100 to USD 199.90 by end-2025, a CAGR of 3.79% against 2.17% for the passive benchmark, with a higher Sharpe ratio (0.606 vs. 0.494) and a shallower maximum drawdown ( − 11.6 % vs. − 14.4 % ). Newey–West HAC and Lo (2002) tests confirm statistical significance ( p = 0.031 and p = 0.014 ), and an expanding-window walk-forward procedure yields p = 0.0005 across 27 out-of-sample evaluations from 2012 to 2025. The result is robust to calendar alignment, evaluation endpoint, lookback window, and execution timing, and survives transaction costs by a wide margin. The strategy requires no interest rate forecasts, no proprietary data, and is implementable with standard ETF brokerage access.
Suggested Citation
Aishwarya Malhotra & Saiteja Puppala & Eugene Pinsky, 2026.
"Duration Rotation in U.S. Treasury Fixed-Income ETFs: Evidence for a “Median” Strategy,"
FinTech, MDPI, vol. 5(2), pages 1-34, April.
Handle:
RePEc:gam:jfinte:v:5:y:2026:i:2:p:29-:d:1915017
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jfinte:v:5:y:2026:i:2:p:29-:d:1915017. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.