Country model futures overlay portfolios consist exclusively of a dedicated futures account that actively positions duration through liquid, exchange-traded sovereign bond futures (long or short). Only 1–5% of portfolio assets are required as margin; 99–95% of capital remains invested in the underlying portfolio.
Context on Alpha Ranges: Gross alpha figures above are annualized statistics. For context, top-decile active fixed income managers are estimated to generate approximately 50 basis points of gross alpha — a benchmark sourced from third-party research by AQR and Bloomberg.
Source: Alpha Performance Verification Services. Performance shown from May 2022 through March 2026. Audited returns through March 2025; estimated returns thereafter. Returns are gross of fees. Past performance is not indicative of future results. Top-decile bond managers typically generate between 30 to 80 bps of alpha; Duration Capital's strategies have generated approx. 200 to 900 bps depending on the strategy's active risk profile. All QuAD trade signals are time-stamped on TimerTrac.com at the point of trade signal generation — proving this is a live, documented track record and not a backtest. Country model overlay (futures) returns are independently calculated and audited by Alpha Performance Verification Services. Audit coverage: January 2014 through March 2025; estimated returns April 2025 onwards.
Few fixed income managers actively manage duration risk — the sensitivity of a bond portfolio to interest rate movements. That passivity paid off during the 40-year secular decline in rates from 1982 to 2022, but it is a strategy built on a tailwind that no longer exists. Duration Capital's QuAD framework challenges that complacency directly.
Bond returns are driven overwhelmingly by interest rate movements. Litterman and Scheinkman (1991) demonstrated that yield level changes explain roughly 90% of U.S. bond return variation. Driessen, Melenberg, and Nijman (2003) found the same result internationally. Spread management — credit selection, sector rotation — gets most of the attention in active fixed income, but it is addressing the 10%, not the 90%. The neglect of duration management is partly structural and partly behavioral. Large institutional participants — corporate treasurers, insurance companies, central banks — transact in Treasury markets for reasons entirely unrelated to return generation. They create persistent mispricings that profit-seeking specialists can exploit. Treasury markets are among the most liquid and transparent in the world, yet they are not dominated by profit maximizers the way equity markets are. That structural inefficiency is durable, not a temporary anomaly. The behavioral neglect compounds this. Most fixed income managers adopt a passive duration stance — they hold benchmark duration and focus energy elsewhere. During the secular rate decline, this worked. Rates fell, prices rose, and duration was an unmanaged free lunch. Today, with coupon yields offering little cushion against adverse rate moves, that posture is simply uncompensated risk exposure.
Duration Capital's approach rests on one core premise: while interest rate forecasting is genuinely difficult, it is not hopeless. Rate movements are not fully unpredictable. It is possible to identify, in advance, periods when the compensation for bearing duration risk is likely to be abnormally high or low. The goal is not to call every move — it is to systematically tilt exposure toward favorable expected payoffs and away from unfavorable ones. The framework is disciplined and quantitative by design. Human behavioral biases are well-documented in rate markets — recency bias, anchoring to consensus views, extrapolation of trends. A model-driven process avoids those pitfalls and, importantly, can profit from them when crowded sentiment pushes markets away from fundamentals.
The QuAD model's most distinctive structural feature is its short-term forecast horizon. Most rate forecasters operate on a 12-month or longer view. QuAD approaches the rate outlook multiple times per calendar year, making it data-dependent in a way analogous to the Federal Reserve — absorbing new economic and market information as it arrives and updating positioning accordingly. This matters for two reasons. First, it creates more trading opportunities. Over the past 60 years, month-to-month Treasury yield movements have been roughly balanced regardless of the prevailing secular trend. Even during the secular rate rise from 1962 to 1981, 44% of months saw yields decline. During the secular decline from 1982 to 2022, the split was almost exactly 50/50. Rates oscillate around fair value continuously. A long-horizon view misses most of those oscillations. A short-horizon view can capture them systematically. Second, a shorter horizon keeps the model responsive. Long-term rate forecasts are particularly susceptible to stale assumptions — a macro regime shift, a policy pivot, a supply shock can render a year-old view obsolete quickly. Revisiting the forecast frequently forces intellectual honesty.
QuAD combines indicators across three categories: valuation, macro, and technical. The selection logic mirrors good portfolio construction — low correlation between inputs so that each variable contributes genuinely independent information, not a reshuffled version of the same signal. Valuation indicators assess whether current yield levels are above or below fair value given the prevailing economic environment. Rate markets cycle around fair value and rarely sit there for long. Identifying where in that cycle the market sits is the foundation of the directional view. Macro indicators capture the economic drivers of rates — growth expectations and inflation dynamics primarily. These are the fundamental determinants of where fair value itself sits, not just where the market is relative to it. A correct reading of the macro backdrop informs both the level and the direction of expected rate movement. Technical indicators capture market positioning, momentum, and sentiment — factors that explain why markets can remain mispriced for extended periods and what tends to catalyze mean reversion. They also serve as a timing overlay, preventing the model from leaning into a valuation view prematurely when technical momentum is running the other direction. The model combines these inputs into a single directional score using a regression-based approach tested across the full post-WWII period — 1960 to 2023. That sample is deliberately long. It spans two complete secular rate cycles: the rise from 1960 to 1981 and the decline from 1982 to 2022. Most bond market research is calibrated only on the declining rate period, which introduces survivorship bias in favor of passive long-duration strategies. Testing across both cycles provides a genuine robustness check. Most of the current QuAD variables have been present since the model's original construction nearly two decades ago. That stability matters. A model that requires constant variable substitution to maintain backtested performance is curve-fitting, not capturing durable market relationships.
The strategy is implemented as a futures-based duration overlay, allowing it to be layered on top of an existing fixed income portfolio without disrupting the underlying holdings. Duration is adjusted tactically — extended when the model signals favorable rate conditions, reduced or hedged when it signals unfavorable ones. Over eight years of independently verifiable positioning history, the strategy has produced consistent positive alpha. The opportunity is not exotic. It does not require leverage, illiquid instruments, or complex derivatives. It requires a disciplined process, the right variables, and the conviction to follow model signals in the face of the consensus noise that dominates rate markets. That discipline, applied consistently, is where the edge lives.
The QuAD model's edge is real, but it persists precisely because most investors won't use it. Tactical duration strategies are not riskless arbitrages. The model is wrong roughly 40% of the time, and even when the long-run hit rate is favorable, any given measurement period carries close to even odds of coming in above or below the historical average. That translates directly into career risk — short stretches of underperformance that are statistically expected but professionally painful. Most bond fund managers, facing that prospect in isolation from benchmark peers, elect not to take the bet. The opportunity endures because the barrier to capturing it is behavioral and institutional, not analytical. That is the clearest argument for why the alpha is not likely to be arbitraged away. Profit-seeking investors who can tolerate short-term tracking error — and who understand that high return standard deviations are a feature of any dynamic strategy, not evidence that it is broken — are positioned to capture what the majority of the market systematically leaves on the table. The QuAD framework addresses a real, durable market inefficiency with a disciplined, multi-factor process built on six decades of data spanning two complete rate cycles. Whether used as a standalone absolute return strategy or as an active overlay on a traditional fixed income portfolio, it offers something genuinely scarce in modern markets: a source of alpha that is liquid, scalable, and structurally uncorrelated with the exposures investors already own.
As a specialist portable alpha manager, Duration Capital has deep experience meeting the needs of sophisticated institutional clients and RIAs nationally. We work alongside our clients to tailor a custom strategy to fit their return objectives. With decades of experience advising institutional clients we bring sophistication, independence, and market awareness coupled with the practicality and perspective shaped by years navigating real-world investment challenges. Our goal is simple: to help investors build smarter, more resilient portfolios — without the noise, sales pressure, or generic standardized advice.