In this guide
The financial sector refers to them as "information markets." Those engaged in trading call them "prediction markets." Silicon Valley prefers "futarchy." Despite the varied nomenclature, all three labels denote an identical concept: a marketplace that harnesses monetary incentives to consolidate scattered individual knowledge into a collective probability assessment.
The Core Insight: Prices Carry Information
Friedrich Hayek's seminal 1945 essay "The Use of Knowledge in Society" demonstrated that markets function as mechanisms for synthesising information that no individual actor could possess alone. Prediction markets extend this principle to uncertain future occurrences: the cost of a YES contract reflects the combined understanding of all market participants regarding the likelihood of that event materialising.
Market participants each bring distinct proprietary insights to the table: a political correspondent understands survey methodologies, a sports wagerer monitors player fitness, a researcher tracks experimental progress. Their trading decisions encode these private insights into the market valuation. That resulting price becomes a widely accessible indicator encompassing knowledge distributed across many minds rather than concentrated in one.
Applications Beyond Trading
Information markets have been trialled and implemented across numerous domains:
- Corporate decision-making: Workplace prediction markets enabling staff to wager on commercial outcomes
- Scientific forecasting: Contracts predicting whether published research will successfully replicate
- Policy evaluation: Robin Hanson's "futarchy" framework — deploying prediction markets to assess governmental initiatives
- Intelligence community: CIA's Analysis of Competing Hypotheses programme incorporated market-based methodologies
- Supply chain management: Hewlett-Packard employed internal prediction markets for demand estimation
Prediction Markets vs Expert Panels
Conventional forecasting methodologies depend on specialist committees who synthesise perspectives via dialogue and agreement. Information markets furnish several structural benefits:
- Anonymity eliminates social pressure: Specialists frequently conform to prevailing opinion; market participants face no social penalty for unorthodox positions
- Continuous updating: Valuations shift instantaneously; specialist committees assemble infrequently
- Financial incentive: Successful forecasters earn returns; successful committee members seldom receive tangible compensation
- No chairperson effect: The highest-ranking committee participant cannot sway collective judgment toward their personal viewpoint
Trade Information Markets on PolyGram
PolyGram operates numerous information markets where your specialist knowledge offers a tangible advantage. Explore current markets organised by subject area to identify opportunities in your field of expertise.
FAQ
- Are prediction markets the same as information markets?
- Correct — "information market," "prediction market," "idea futures," and "event contract" are employed synonymously. Each refers to the identical underlying mechanism of wagering on event probabilities.
- Who invented prediction markets?
- Robin Hanson at George Mason University crafted the bulk of theoretical work during the 1990s. The Iowa Electronic Markets, launched in 1988, pioneered real-world application.
- Can prediction markets be manipulated?
- Temporary price distortion remains feasible but proves economically unfeasible to maintain indefinitely. Empirical evidence demonstrates that those attempting price manipulation ultimately incur losses when knowledgeable traders restore equilibrium. Established, well-capitalised markets demonstrate substantial resilience against manipulation attempts.