Markets on company KPIs are one of the best prediction market use cases, clearly displaying the fundamental advantages of the asset class when compared to the stock market. People and institutions with specific theses on company-related activities – think Tesla production, DoorDash deliveries, or Netflix subscribers – often express this thesis via the stock market, buying or shorting the stock depending on their expectation of the KPI.
The issue is that because the stock market often moves based on unrelated events, such as investor sentiment, unrelated breaking news about the company, or macro factors, investors are often right about their thesis, but lose money anyway. The simple, binary structure of event contracts fixes this. By breaking down stocks into their component parts, Kalshi offers investors a simple and superior way to express opinions about companies’ futures and hedge related volatility and idiosyncratic risk.
Through this collaboration, Kalshi is integrating Benzinga’s Earnings Calendar alongside Fiscal.ai’s Company KPI data to help inform the creation and settlement of markets based on corporate performance. Together, these datasets provide a more structured and scalable approach to supporting company KPI-based event contracts.