# Сопутствующие статьи по теме Elections

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Elections", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

New Challenges Posed by Prediction Markets to Political Elections

Predictive markets are increasingly influencing political elections, presenting new challenges for campaign teams. While polls have long shaped electoral narratives, donor confidence, and internal decisions, predictive markets introduce a different mechanism and incentive structure. Media outlets may now cite market-based probabilities, forcing campaigns to develop consistent responses. These markets reflect traders’ informed guesses rather than ground-level voter sentiment, and it remains unclear whether they function as leading or lagging indicators—or merely capture market sentiment. Internally, ethical and operational questions arise. Campaign personnel with access to non-public information (e.g., internal polls, strategy) could engage in trading that blurs the line between speculation and insider advantage. Although platforms like Kalshi enforce rules against insider trading, anonymity complicates enforcement. Conversely, predictive markets could theoretically serve as a hedging tool for staff facing electoral uncertainty. Market manipulation is a concern, though liquid markets are generally resilient against sustained manipulation. As predictive markets become embedded in media coverage and donor discussions, campaigns must proactively develop communication strategies, internal policies, and monitoring mechanisms rather than reacting passively. Preparing now will allow teams to better navigate this emerging element of the political information environment.

marsbit03/09 08:50

New Challenges Posed by Prediction Markets to Political Elections

marsbit03/09 08:50

More Accurate Than Polls, More Dangerous Than Imagined: Prediction Markets in the Eyes of the Fed

The Federal Reserve is exploring the use of prediction markets, particularly Kalshi, as a real-time tool for policy insights. A Fed-affiliated working paper found that Kalshi’s predictions for core CPI and unemployment are statistically comparable to—and sometimes more accurate than—Bloomberg consensus estimates. Prediction markets aggregate real-money, belief-backed trading, offering frequent updates and capturing nuanced shifts that traditional surveys miss. For instance, Kalshi priced inflation uncertainty in real time during a trade policy scare—a dynamic monthly surveys couldn’t reflect. While these markets provide valuable signals, they also carry risks. Prices reflect both expectations and risk preferences, and heavy reliance on sports betting for liquidity makes macroeconomic markets vulnerable to regulatory changes. If sports betting is restricted, liquidity could dry up, increasing manipulation risks. Moreover, if the Fed openly uses prediction markets, it could create a feedback loop where traders manipulate smaller markets like Kalshi to influence broader policy communication and traditional financial instruments. Despite these concerns, prediction markets offer a uniquely timely and distributed form of expectation aggregation—especially for events like FOMC meetings, where informed participants trade with real stakes. The Fed should require open data transparency to mitigate manipulation and carefully weigh the signal against the noise.

比推02/24 18:33

More Accurate Than Polls, More Dangerous Than Imagined: Prediction Markets in the Eyes of the Fed

比推02/24 18:33

Prediction Market ETFs: A Foray into the Mainstream or Playing with Fire?

Several major ETF issuers, including Bitwise Asset Management, GraniteShares, and Roundhill Investments, have recently filed applications with the U.S. SEC to launch prediction market ETFs. These ETFs are designed to track the outcomes of U.S. political events, such as the 2028 presidential election and the 2026 midterms, allowing investors to trade election probabilities through traditional brokerage accounts like Robinhood or Fidelity. Prediction markets aggregate crowd-sourced forecasts using real-money contracts, where prices reflect the market’s consensus probability of an event occurring. Platforms like Polymarket and Kalshi have demonstrated strong predictive accuracy in events like the 2024 U.S. election, often outperforming traditional polls due to their incentive-based structure. The proposed ETFs would track the price movements of these prediction market contracts, with share values fluctuating between $0 and $1. If the predicted event occurs, the corresponding “Yes” ETF would settle near $1; otherwise, it would approach $0. Unlike Bitcoin ETFs, which track asset prices, these are binary outcome products, more akin to options or insurance. If approved, these ETFs could bring prediction markets into mainstream finance, offering new tools for hedging and macro risk management. However, concerns remain about potential market manipulation, public perception influence, and regulatory approval, as the SEC may view them as gambling-like instruments. The move represents a significant test of how “probability as an asset” is accepted in traditional markets.

marsbit02/22 12:46

Prediction Market ETFs: A Foray into the Mainstream or Playing with Fire?

marsbit02/22 12:46

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