# Сопутствующие статьи по теме Liquidity

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

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

When Elections Are No Longer Scarce, How Do Prediction Markets Break Through with 'Fandom Culture'?

With the increasing saturation of prediction markets, platforms are shifting their competitive focus from public macro-events to niche, community-driven content—particularly leveraging "fan culture" as a differentiator. Early leaders like Polymarket and Kalshi built trust through regulatory compliance, liquidity, and macro-themed markets (e.g., elections, geopolitical events), but these topics lack exclusivity and are easily replicated. Emerging platforms on networks like BNB Chain are instead cultivating hyper-specific, emotionally charged markets around community-centric topics: Binance ecosystem updates, celebrity appearances, or esports outcomes. These "fan-driven" markets—though not globally significant—generate high engagement within dedicated circles, transforming speculation into participatory narrative-building. This approach lowers entry barriers, amplifies social sharing, and fuels transactional activity through concentrated emotional investment. Crucially, such culture-bound markets create defensible advantages: they thrive on localized discourse, foster recurring interaction, and resist replication by outsiders. Asian crypto communities, for instance, naturally gravitate toward personality-driven narratives and ecosystem gossip, making fan culture a potent growth lever. The real edge lies not in technical infrastructure but in deep cultural alignment—turning prediction platforms into inseparable components of community identity.

比推02/24 14:13

When Elections Are No Longer Scarce, How Do Prediction Markets Break Through with 'Fandom Culture'?

比推02/24 14:13

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