Background – 2
Vitalik Buterin (Feb 2021): “Prediction markets are a subject that has interested me for many years. The idea of allowing anyone in the public to make bets about future events, and using the odds at which these bets are made as a credibly neutral source of predicted probabilities of these events, is a fascinating application of mechanism design.”
Liam Vaughan (May 2022): “The potential of prediction markets is well known to anyone who’s read James Surowiecki’s bestseller, “The Wisdom of Crowds.” Well-designed markets can help draw out knowledge contained within disparate groups, and research shows that when people have money on the line, they make better forecasts…Google, Microsoft Corp., and even the US Department of Defense have used prediction markets internally to guide decisions… The size of these markets had been limited because regulators worried that Wall Street-scale trading could create incentives for investors to meddle with reality.”
Wikipedia: “The ability of the prediction market to aggregate information and make accurate predictions is based on the efficient-market hypothesis, which states that asset prices are fully reflecting all available information. For instance, existing share prices always include all the relevant related information for the stock market to make accurate predictions. James Surowiecki raises three necessary conditions for collective wisdom: diversity of information, independence of decision, and decentralization of organization. In the case of predictive markets, each participant normally has diversified information from others and makes their decision independently. The market itself has a character of decentralization compared to expertise decisions. Because of these reasons, predictive market is generally a valuable source to capture collective wisdom and make accurate predictions. Prediction markets have an advantage over other forms of forecasts due to the following characteristics. Firstly, they can efficiently aggregate a plethora of information, beliefs, and data. Next, they obtain truthful and relevant information through financial and other forms of incentives. Prediction markets can incorporate new information quickly and are difficult to manipulate.”
Economist (Feb 2022): “The line between investing and gambling has always been thin. This is especially true for prediction markets, where punters bet on events ranging from the banal (“will average gas prices be higher this week than last week?”) to the light-hearted (“who will win best actress at the Oscars?”). Prediction markets have something of a cult following among finance types who rave about the value of putting a price on any event, anywhere in the world. Such prices capture insights into the likelihood of something happening by forcing betters to put money where their mouths are. But critics argue such markets will fail to grow beyond a niche group, reducing the value of their predictions in the process.”
John Holden (Dec 2022): “Prediction markets are based upon the Efficient Market Hypothesis, which in the prediction market context is the idea that the price represents the likelihood of an event taking place based on all the relevant information. In the context of a presidential election market, if a contract for Joe Biden to be president in 2024 were trading at $.52, then the market would be suggesting that there is a .52 probability that Biden would be elected. As the election passes, someone will go to $1.00, or at least $.99. Prediction markets are effectively a market of binary option contracts: either an event happens or it does not. The contracts settle on the date of an election (or another specified date for other events.) This is not dissimilar from other types of options contracts, which are purchased for a designated date in the future, reflecting a likelihood that a company’s share price or commodity will be at a certain level.”