Investors might be drawn to active fund investing, but index funds might be less risky, according to Rice University researchers. Getty Images

It's easy to assume that investing, like cooking, requires skill to get the right mix of ingredients. But that's not the case with index funds. Effort goes into building them, but these ready-made investments need minimal intervention. Yet the outcomes are appetizing indeed.

In the past few decades, use of index funds has exploded. So have media coverage and advertisements questioning if they can truly compete with active funds. A recent study by Alan Crane and Kevin Crotty, professors at the business school, provides a resounding "yes." These humble investment recipes, it turns out, are richer than they might seem.

Index funds track benchmark stock indexes, from the familiar Dow Jones Industrial Average to the widely followed Standard & Poor's 500. Like viewers following a cooking show, index fund managers buy stocks in the same companies and same proportions as those listed in a stock index. The best-known indices are traditionally based on the size of the companies.

The idea is that the index fund's returns will match those of its model. An S&P 500 index fund, for example, includes stocks in the same 500 major companies included in the Standard & Poor index, ranging from Apple to Whole Foods.

Index funds are part of the broad range of investment products called mutual funds. Like cooks making a stew, mutual fund managers add shares of various stocks into one single concoction, inviting investors to buy portions of the whole mixture.

While some mutual funds are active, meaning professional managers regularly buy and sell their assets, index funds are passive. Their managers theoretically just need to keep an eye on any changes in the index they're copying. Not surprisingly, active index funds tend to charge more than passive ones.

Curiously, not all index funds perform at the same level. So what should that mean for investors? To study these variations and their implications, Crane and Crotty expanded on past research about skill and index fund management, analyzing the full cross section of funds.

This wasn't possible to do until fairly recently: there simply weren't enough index funds to study. The first index fund, which tracked the S&P 500, was developed by Vanguard in the 1970s. To do their research, the Rice Business scholars looked at performance information for both index and active funds, starting their sample in 1995 with 29 index funds. The sample expanded to include a total of 240 index funds, all at least two years old with at least $5 million in assets, mostly invested in common stocks. They also analyzed 1,913 actively managed funds.

Using several statistical models, Crane and Cotty found that outperformance in index-fund returns was greater than it would be by chance. The discovery suggests that passive funds, although they require little skill to run, have almost as much upside as active funds.

In fact, the professors found, the best index funds perform surprisingly closely to the best active funds, but at a lower cost to the investor. The worst active funds perform far worse than the worst index funds–even before management fees.

The findings topple the conventional wisdom that only actively managed funds stand a chance of beating the market. While active-fund managers often measure their success against that of passive funds, the data show investors who are risk averse would do better to choose passive funds over more expensive active ones.

More adventurous investors, of course, will always be tempted by what's cooking in actively managed funds. But overall, investing in plain index funds is as good a meal at a lower price.

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This story originally ran on Rice Business Wisdom.

Alan D. Crane and Kevin Crotty are associate professors of finance at the Jones Graduate School of Business at Rice University.

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Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”