In this guide
Within academic circles they are termed "information markets." Those actively trading refer to them as "prediction markets." Silicon Valley and technologists favour "futarchy." Each label points to an identical underlying mechanism: a marketplace that harnesses financial incentives to consolidate scattered individual knowledge into a single, observable probability assessment.
The Core Insight: Prices Carry Information
Friedrich Hayek's seminal 1945 work "The Use of Knowledge in Society" demonstrated that price mechanisms address the central challenge of synthesising information distributed across many independent actors. Prediction markets extend this principle to future occurrences: the cost of a YES share encapsulates the collective understanding of all participants regarding the likelihood of that event materialising.
Each market participant brings their own specialised knowledge to the table: a political strategist understands survey methodology and reliability, a sports analyst tracks player fitness and availability, a researcher grasps experimental timelines and feasibility. Through their trading activity, they encode this private insight into the market's price. The equilibrium price then functions as a collective statement, synthesising information that no individual trader could possess independently.
Applications Beyond Trading
Information markets have received theoretical consideration and practical deployment across numerous domains:
- Corporate decision-making: Organisations establish internal markets where staff wager on product viability and commercial outcomes
- Scientific forecasting: Markets predicting whether published research will successfully replicate
- Policy evaluation: Robin Hanson's "futarchy" framework — employing prediction markets to assess the merit of legislative and regulatory proposals
- Intelligence community: The CIA's Analysis of Competing Hypotheses initiative incorporated market-based methodologies
- Supply chain management: Hewlett-Packard deployed internal markets to forecast demand and sales volumes
Prediction Markets vs Expert Panels
Conventional forecasting methodologies depend on specialist committees who synthesise perspectives via dialogue and collaborative agreement. Information markets present several structural benefits:
- Anonymity eliminates social pressure: Specialist committees often converge on prevailing opinion; market traders incur no social penalty for heterodox positions
- Continuous updating: Prices react instantaneously to new information; expert committees assemble infrequently
- Financial incentive: Successful traders capture profits; successful panellists rarely receive tangible compensation
- No chairperson effect: The most authoritative voice in the room cannot steer collective judgment toward their personal assessment
Trade Information Markets on PolyGram
PolyGram operates numerous information markets where your domain expertise translates into tangible trading advantage. Explore available markets organised by subject area to identify opportunities aligned with your knowledge base.
FAQ
- Are prediction markets the same as information markets?
- Correct — "information market," "prediction market," "idea futures," and "event contract" function as synonymous terminology. Each refers to the identical underlying practice of exchanging contracts whose value depends on whether specified events occur.
- Who invented prediction markets?
- Robin Hanson at George Mason University constructed the theoretical architecture during the 1990s. The Iowa Electronic Markets, launched in 1988, pioneered the practical application of these concepts.
- Can prediction markets be manipulated?
- Temporary price distortion is technically feasible but economically costly to maintain. Empirical research demonstrates that those attempting manipulation typically forfeit capital as knowledgeable traders restore accurate pricing. Sufficiently large and actively traded markets exhibit strong resistance to such tactics.