a16z new: forecasting markets, entering the fast-track phase

Original title:Protection Markets: They Grow Up So Fast

Original by Alex Immerman, a16z

Original by Peggy, Block Beats

 

Editors press: For a long time, the forecast market has always been seen as a "marginal product": first as an academic experiment, then as an instrument of public opinion for the electoral season, and then as an extension of sport. It seems to be tied to a high-profile scenario, which is rarely really understood as a financial infrastructure。

However, in the author's view, the forecast market is evolving from a marginal, mostly election- and sports-based “event-trading tool” to a financial infrastructure that can be priced for uncertainty。

THE AUTHORS NOTE THAT KEY CHANGES IN THE INDUSTRY ARE TAKING PLACE AT THREE LEVELS: FIRST, APPLICATIONS ARE EXPANDING AND SPORTS, THOUGH STILL THE ENTRY POINT, ARE GROWING FASTER IN LONG-TERM MARKETS SUCH AS ENTERTAINMENT, MACRO, CPI, AND START CARRYING INSTITUTIONAL DEMAND; SECONDLY, IT IS FORECAST THAT FOR THE FIRST TIME THE MARKET WILL PROVIDE A TRADABLE PRICE BENCHMARK FOR THE "INCIDENT ITSELF", ENABLING INSTITUTIONS TO DIRECTLY HEDGE AGAINST POLITICAL OR MACRO-RISKS, INSTEAD OF "SECOND DOWN" THROUGH THE ASSETS CONCERNED; AND THIRDLY, THE INSTITUTIONAL ADOPTION PATH IS MOVING FORWARD, FROM DATA REFERENCE (SEE RATE OF RECOVERY) TO SYSTEM INTEGRATION, TO REAL ENGAGEMENT IN TRANSACTIONS, WHICH IS STILL AT AN EARLY STAGE。

Forecasting markets are going through an early process of "specialization-institutionalization-infrastructure" of options markets, which in the future, once liquidity, leverage, and regulation have improved, can become a core market tool for connecting dispersed households and institutions to hedge and pricing real-world uncertainties。

Finance is a highly "vertical" world, with almost every subdivision having its own recognized " annual sacred place". The leaders of medical service providers, payers and biotech companies meet annually in San Francisco for J.P. Morgan Healthcare Conference. In the global macro sphere, heavyweights and dignitaries travel to the Swiss Alps to participate in the World Economic Forum Annual Meering (Davos Forum). TNT, real estate, industry, financial services and almost all the industries you can think of have their own flagship summits。

At the end of March this year, Kalshi's academic and institutional research department, Kalshi Research, organized its first research conference in New York, bringing together academics, Wall Street executives, former politicians and traders who were really driving the market. From the composition of the participants, it is clear that the industry is “maturizing”。

On the same day, the meeting opened with Katherine Doherty, co-founder of Kalshi Tarek Mansour and Luana Lopes Lara. The following are some of the industry observations that emerged from the dialogue and subsequent round tables:

Market and life, not just elections and sports

In major news cycles, there is often a fixed pattern: a major event (such as the 2024 general election, the Super Bowl, or, more recently, the "Crazy March" university basketball game) dominates the vast majority of media headlines, and consequently dominates the forecast of market transactions. This can easily give the impression that “predicts the value of the market only in these events”。

However, although early narratives tend to see the market as a tool to "make sense only during the electoral cycle", Kalshi's growth in other areas is equally significant。

At the time of the conference, the weekly trade in sports was just approaching $3 billion, about 80 per cent of Kalshi's total trade, driven mainly by March Madness. Tarek and Luana see this high concentration as a phased phenomenon。

One of the more explanatory data is that, although the absolute size of sport-type transactions is at an all-time high, their share in total trade volumes is at a historically low level. This means that all other categories are growing faster。

The founders noted that the categories of entertainment, encryption, politics and culture were showing a stronger growth of users and better trading retention structures than sports. Sport is more like a “detonator” for the public market — it is characterized by a high level of familiarity, a clear time-paced and emotional participation, and it is a typical entry product。

At the same time, firm growth has been observed in longer markets. These markets now constitute more than 20 per cent of Kalshi ' s transactions and will play a more critical role in future institutional hedges and information markets。

A subsequent institutional round table confirmed this judgement from the side of demand。

Cyril Goddeeris, Co-Chair of Goldman Sachs ' Global Stock Business, stated that projections related to macro events and CPI data were among the most relevant categories of Wall Street today. The CNBC Executive Vice-President for Growth Operations, Sally Shin, mentioned that she had used such forecast markets as "the Fed's chairman keeps "non-farm employment data" as a content narrative tool. Tradeweb Co-head of Global Marketplace Troy Dixon has further developed a picture of the future: the large investment banks will have a dedicated forecast market-trading sector, with financial contracts as the core product。

Why, kalshi

AN IMPORTANT REASON WHY TRADITIONAL FINANCIAL MARKETS FUNCTION IS THAT EACH CORE ASSET CLASS HAS A RECOGNIZED BENCHMARK: THE STANDARD 500 INDEX REPRESENTS 500 STOCK-ONLY AGGREGATE PERFORMANCE, WHILE CRUDE OIL HAS A BENCHMARK PRICE SYSTEM SUCH AS ICE。

But for political and macroeconomic events (e.g., who won the elections, whether tariffs passed or not, and the outcome of Supreme Court decisions), there was a long-standing lack of widely accepted and dynamically up-to-date pricing benchmarks. The market is projected to change this — today, the future of almost any event can have a real-time, mobile “price anchor”。

Once an event (e.g. '30% tariff pass or not') has a credible price, the agency can trade directly around it. This can be achieved both in terms of transactions to the event itself and in terms of risks to other assets in the hedge portfolio. As Trudeweb’s Troy Dixon said, “Returning to Trump’s first election, when stock markets had a large number of hedge operations, the logic was to do blanks because if Trump was elected, the market would fall. But the deal was a failure. The question is: How do you price these events? Where are the benchmarks?"

Tarek also mentioned that this was one of the reasons he created Kalshi. During his tenure in Goldman Sachs, his trading counter had recommended a deal based on the 2024 general election and the British Deluxe. In the absence of a forecast market, an institution that hedges its assets against a political or macro event by means of the asset in question is in fact betting on two matters at the same time: whether the event itself occurred and the correlation between the event and the asset being traded. And the second one, it's quite possible to make mistakes alone。

When the event itself has a direct price benchmark, the two layers of risk are reduced to one layer. As Tarek said, "Now, this market starts to price everything."

The three stages when institutions actually adopt forecast markets

It is clear that it is too early to say that Wall Street's major agencies have been trading on a large scale in Kalshi. At present, most institutions still use "data sources" rather than "trade platforms"。

Luana points out, however, that the institutional path to adopting this market is clear and can be divided into three stages:

The first phase is data access: allowing forecast prices to enter the agency ' s daily workflow. For example, it is customary for Goldman Sachs portfolio managers to look at Kalshi's rate of return data as they look at the VIX index. This stage has occurred to some extent. Jonathan Wright, a professor at Johns Hopkins University and a former Fed official, said: "Kalshi is almost the only source of reference in areas such as Federal Reserve decision-making, unemployment, GDP, etc

The second phase is system integration: compliance and legal approval, technical interface, and internal education — essentially the introduction of new financial instruments。

The third stage is a real deal: institutions begin to hedge the risks directly on the platform, and transaction volumes and market depth gradually accumulate. At this point, more hedge demand attracts speculators, tighter price differentials attract more hedgers, and benchmark prices generate positive feedback for self-enhancement。

Currently, most of the institutions are still in the first phase, some of them entering the second phase and few of them entering the third phase. An important obstacle is the current forecast that market transactions require full security. For example, a $100 position requires a $100 deposit. It is acceptable for individual investors, but it is too costly for hedge funds or banks that rely on leverage and capital efficiency。

As Tarek says, "If you want to do a $100 hedge, you have to put $100 in the clearing house. This is too expensive for the agency. Institutions like Citadel or Millenium would not do so. Kalshi has now obtained a NFA licence and is working with the Community Trading Commission to introduce a bond trading mechanism。

What happens next

The most direct summary of Bloomberg's Market Innovation Manager, Michael McDonald, is: "The sign of success is that these things get bored." He compared the forecast market to the options market of the 1970s, which was also full of controversy over manipulation and regulatory uncertainty, but eventually evolved into an infrastructure that is almost no longer considered today。

The AQR partner Toby Moskowitz stated that he "will be willing to bet on real money and silver" and predicted that the market would become a viable institutional tool in five years, perhaps even faster。

Vote Hub’s Garrett Herren describes the end state: “The question is no longer whether to predict the market, but how to use it. Once the problem becomes so, it becomes indispensable.”

In fact, although the current size of the market is projected to be limited, it is an area of enormous volume。

In fact, “normalization” of the predicted market is already taking place。

In the round-table discussion on the political theme, former Member of Parliament Mondaire Jones mentioned that top two parties — including President Trump, minority leaders in the House of Representatives Jeffries, and Senate minority leaders Schumer — had begun to quote Kalashi's data in public. Scott Tünter of the DDHQ also confirmed that forecasting market data is now one of the standard inputs within the Political Parties Committee. Meanwhile, Vote Hub announced that Kalshi data had been directly integrated into the medium-term election prediction model。

All of this, two years ago, was completely non-existent. At that time, the most successful traders in Kalshi were still dominated by amateurs. Today, that name is not even accurate。

In Kalshi's "The People Behind the Markets" round table, four traders shared their career paths: These paths sound no different than the traditional professional traders: it took 11 years to study Billboard's musical rolls, and it's been twitched in the market since 2006, when it's just a "sweet hobby with a little more courtesy and little money." It is noteworthy that none of the four guests came from the traditional financial sector, but from the music, politics and poker fields respectively. They agreed, however, that what this platform really rewards is a deep field perception rather than a fresh curriculum vitae。

The market has come a long way. From being seen as an academic experiment to becoming a “new and strange tool” during the election period, to being once classified as a “sport-type bet product”, its positioning has changed. The clear message of the meeting was that the market was projected to evolve into an infrastructure — for pricing uncertainty, for a broad-based participants and for diversification applications from bulk traders to large institutions。