When Feynman was pulled into the Manhattan Project's calculations at Los Alamos during WWII, his first question was reportedly: "Are you sure this is worth doing?"—compute the cost-benefit ratio first, then decide. This finance paper asks a similar question: how much are traders' dearly-bought private information actually worth?
An Elegant Formula
Two finance professors derive a concise measure of the value of information:
That is: the covariance between price changes (ΔP) and order flow (Q).
Why? In a competitive market with market makers, an informed trader's profit exactly equals noise traders' losses. Those losses can be estimated from the correlation between price changes and order flow—every profitable informed trade leaves a microscopic "footprint" linking price and volume.
The Numbers
Using US equity high-frequency data:
- Average value of information per stock per year: ~$3.5 million
- As a fraction of market cap: ~0.04%
- What investors pay annually "searching for alpha": ~0.67% of market cap (per French 2008)
- Title: The Value of Information: A Puzzle
- Authors: Ohad Kadan, Asaf Manela
- arXiv ID: 2605.11180
- Categories: q-fin.GN, econ.GN, q-fin.TR
- Core finding: True value of information ≈ 0.04% of market cap; spending on information search ≈ 0.67%—a gap of ~17x.
Small in itself—but compare with:
0.67% vs 0.04%. A gap of roughly 17x.
The Puzzle
If all information is truly worth only 0.04% of market cap, why do investors pay 0.67% per year to "get informed"?
Possible explanations:
1. Arms race: Massive spending on information acquisition forms a zero-sum arms race—you spend $10M on information just to avoid being eaten by competitors, not because that $10M earns itself back. Like two neighboring countries each spending 10% of GDP on the military—wasteful in aggregate, yet each feels it "must."
2. Overestimation of information value: Investors systematically overestimate the value of private information. Behavioral economics has documented this "illusion of knowledge"—people believe knowing a bit more means big profits, but markets absorb information with astonishing speed.
3. The method understates true value: The covariance approach may miss "slow" information that doesn't show up in second-level high-frequency trading.
The paper leaves the puzzle to future researchers: the total value of information is far below what people spend searching for it. The "market for information" may be the least efficient market in the world.
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*Paper info*