The Rise of Prediction Markets: Risk and Reward

Earlier this year, Thomas Christian Owens ventured into the world of prediction market trading for the first time. In January, he opened a Kalshi account and deposited $500. For Owens, a 29-year-old manufacturing engineer, this was a birthday gift to himself and a chance to have some fun. He hoped not only to make a bit of extra money but also to support some family members.

Initially, he experienced some wins. However, just over a month into trading, Owens, who resides in Oklahoma City, found himself in financial difficulty. Young men like Owens are often attracted to prediction markets for excitement and the lure of fast money. According to an April survey by Navigator Research, approximately 40% of young men aged 18 to 34 engage in these markets. On Kalshi, a prominent prediction market in the U.S., about 3 million of its 4 million active users are male. Sixty percent of all users are between 18 and 34.

The Allure and Risks of Prediction Markets

Prediction markets are under scrutiny due to alleged insider trading cases, predominantly involving men. These include a Google employee accused of making over $1.2 million on Polymarket with confidential information and a U.S. special forces soldier betting on Venezuelan leader Nicolás Maduro’s removal before the U.S. raid was public. Former Rep. George Santos of New York has also faced allegations of insider trading on Kalshi.

Experts attribute the male dominance in prediction markets to their higher risk appetite. Michael Liersch, a behavioral finance expert, notes that young men often display more confidence in financial decisions. Prediction markets allow users to bet on diverse prospective events by placing wagers on “yes” or “no” questions, called event contracts, typically priced between $0 and $1. Successful bets yield a $1 payout per contract, while incorrect predictions result in losses.

For Owens, who is a basketball fan, most of his trades involve sports-related events, especially bets on the Oklahoma City Thunder. Initially, he had successes like a basketball “combo” bet that turned a $50 wager into $456, over an 800% return. Another successful combo bet turned $196 into nearly $1,700 by accurately predicting three pro basketball game outcomes.

“Mention markets,” another popular wager, let users bet on specific words or phrases used by public figures during events. Steven Zhang, a UCLA student, discovered Polymarket through a social media ad inviting bets on what President Trump might say during a debate. Initially, with a $20 investment, Zhang and his friends lost their first bets. Currently, Zhang trades on Kalshi, targeting uncertain events like TV announcers’ statements during NBA games. With $150 in his account, Zhang is cautious, trading with only the money he are comfortable losing.

Challenges and Insights

Kalshi’s male customer base has been questioned by CBS News, but no response was provided by the company. Zhang highlights that the thrill lies in the uncertainty of being right or wrong. Experts explain that men may be attracted to speculative assets due to a reduced fear of losing money compared to women. There is also a social status element; success in prediction markets can confer prestige.

When Owens began trading on Kalshi, his goal was to enhance his income to help support family members in financial difficulty. Speculative investments, such as prediction markets, are seen by many men as a means to attain financial security. A survey by Northwestern Mutual revealed that 75% of men feel financially behind and turn to risky investments to catch up, compared to 69% of women. However, for most users, financial gains may not meet expectations. Owens’ account balance dropped to $1,700, below his initial $2,500 deposit, prompting more cautious bets below $100.

Very few Kalshi users have made substantial earnings; according to a Wall Street Journal analysis, a mere 0.1% of Polymarket accounts collected over 67% of profits. A Polymarket spokesperson expressed ongoing efforts to share knowledge through open markets but did not address specific questions.

According to Jordan Bender of Citizens, the odds are typically against prediction market participants. A study by Citizens found a median return of -8%, meaning a user would lose $8 for every $100 spent. Bender cautions that successful outcomes in any betting type are uncommon.