Information Markets vs Prediction Markets: How Forecasting Aggregates Knowledge

Academics refer to them as "information markets." Those who trade call them "prediction markets." Silicon Valley uses the term "futarchy." Each label points to an identical concept: a trading system that harnesses monetary rewards to consolidate scattered knowledge held across many participants into a single, transparent probability reading.

The Core Insight: Prices Carry Information

Friedrich Hayek's seminal 1945 work "The Use of Knowledge in Society" demonstrated that market prices represent a mechanism for solving the central challenge of combining information distributed across countless independent actors. Prediction markets extend this principle to uncertain future events: the cost of a YES contract reflects the combined understanding of all active traders regarding the true likelihood of that event.

Each participant in a prediction market holds some unique piece of knowledge: a political strategist understands survey methodology, a sports analyst tracks player fitness, a researcher grasps experimental progress. Through their trading decisions, they encode this personal insight into the quoted price. That equilibrium price then becomes a collective signal reflecting knowledge no individual trader could possess alone.

Applications Beyond Trading

Information markets have found use and testing across numerous domains:

• Corporate decision-making: Organisations run internal markets where staff trade on product performance and strategic outcomes
• Scientific forecasting: Markets predicting whether published findings will successfully replicate
• Policy evaluation: Robin Hanson's "futarchy" framework — deploying prediction markets as a tool for assessing government initiatives
• Intelligence community: The CIA's Analysis of Competing Hypotheses programme incorporated market-based methodology
• Supply chain management: Hewlett-Packard deployed internal prediction markets to improve demand forecasts

Prediction Markets vs Expert Panels

Conventional forecasting depends on expert committees that synthesise perspectives via dialogue and agreement. Information markets present several structural benefits:

• Anonymity eliminates social pressure: Expert panellists tend to converge on prevailing opinion; traders incur no social penalty for minority positions
• Continuous updating: Prices shift in real time; expert committees typically meet infrequently
• Financial incentive: Winning traders earn returns; winning experts seldom receive tangible compensation
• No chairperson effect: The highest-ranking expert in the room cannot sway the group's consensus toward their preferred outcome

Trade Information Markets on PolyGram

PolyGram operates dozens of information markets where your specialist knowledge translates into measurable advantage. Explore current markets organised by subject matter to locate opportunities within your expertise.

FAQ

Are prediction markets the same as information markets?

Absolutely — "information market," "prediction market," "idea futures," and "event contract" are used synonymously across literature and practice. All refer to the identical trading framework centred on wagering on uncertain outcomes.

Who invented prediction markets?

Robin Hanson at George Mason University authored the bulk of theoretical work during the 1990s. The Iowa Electronic Markets, launched in 1988, pioneered real-world deployment and operation.

Can prediction markets be manipulated?

Temporary price distortion is theoretically feasible but economically costly to execute. Empirical evidence demonstrates that those attempting to artificially shift prices typically suffer financial losses as knowledgeable traders restore accurate valuations. Well-capitalised, active markets exhibit strong resistance to such tactics.