Omnigence tests 18 years of farmland returns with the Information Ratio

Omnigence Asset Management published new research measuring 18 years of Canadian farmland returns against the Information Ratio, arguing the asset’s excess returns look persistent versus inflation and fixed income. The paper also tests whether appraisal smoothing is masking volatility and says farmland behaves as an independent return stream, not an equity substitute.

Why it matters: - Omnigence is trying to separate signal from noise in Canadian farmland performance. - The analysis matters for allocators deciding whether farmland’s historical outperformance is repeatable or just a statistical artifact. - The paper frames farmland as a potential diversification asset with inflation protection and low correlation to public equities.

What happened: - Omnigence Asset Management published a research paper titled "The Information Ratio: Measuring Signal vs. Noise in Canadian Farmland Returns." - The paper examines 72 consecutive quarters of returns from Q2 2008 through Q1 2026. - The research applies the Information Ratio to Omnigence’s Canadian farmland platform. - Omnigence manages the strategy through Veripath, its farmland platform. - The paper was co-authored by Omnigence directors Matt Barr and Barclay Laughland.

The details: - The study measures excess return per unit of tracking error and uses the framework to test whether farmland’s returns are statistically persistent. - The analysis compares farmland against five benchmarks: Canadian inflation, treasury bills, Canadian bonds, the S&P/TSX 60 and the S&P 500. - Against inflation, farmland posted an annualized Information Ratio of 4.24, with t = 18.0. - Against T-bills, the annualized Information Ratio was 5.29, with t = 22.4. - Against Canadian bonds, the annualized Information Ratio was 2.33, with t = 9.9. - The paper says those results clear conventional statistical thresholds. - Farmland outperformed inflation in 70 of 72 quarters. - Farmland outperformed T-bills in all 72 quarters. - The reported quarterly series contains no negative quarters. - The paper says appraisal-based valuations can understate an asset’s true volatility. - To test that risk, the research includes a desmoothed series and an independent cross-check using Farm Credit Canada transaction data. - The two methods converge on underlying volatility of roughly 3.5% to 5.1%. - Under every volatility assumption tested, the Sharpe ratio remained strong, ranging from 2.86 using transaction-based volatility to 6.32 using reported volatility. - The Sortino ratio is undefined under its conventional formulation because no quarterly return fell below a 6% annualized hurdle over the full period.

Between the lines: - The strongest statistical case is against inflation and fixed income, where farmland appears to have delivered durable excess returns. - The weaker result versus public equities does not appear to be a failure of farmland so much as a mismatch in benchmark behavior, since the paper says farmland has near-zero correlation with equity indices. - That low correlation supports the argument that farmland is an independent return stream rather than an equity replacement. - The paper also tries to address a common criticism of farmland data: valuation smoothing from appraisals. - By stress-testing the volatility assumptions, the research aims to make the return profile harder to dismiss as an accounting effect.

What's next: - Omnigence says the full research paper is available on request. - Investors and allocators will likely focus on whether the reported excess returns hold up under broader scrutiny and over more market cycles. - The paper’s findings may feed into Omnigence’s ongoing fundraising and portfolio-construction pitch around farmland, diversification and inflation protection.

The bottom line: - Omnigence is arguing that 18 years of Canadian farmland returns show a statistically durable edge over inflation and cash-like benchmarks, while also reinforcing farmland’s role as a low-correlation portfolio diversifier. - More information