How to evaluate an IPO, according to Houston researchers

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In emerging markets, pricing — not reputation — drives the partnership between underwriter and IPO. Photo via business.rice.edu

Many investors assume they can judge the strength of an IPO based on the reputation of the underwriter supporting it.

However, a recent study by Rice Business professors Anthea Zhang and Haiyang Li, along with Jin Chen (Nottingham University) and Jing Jin (University of International Business and Economics), proves this is only sometimes true — depending on how mature the stock exchange is.

Getting your company listed on the stock market is a big step. It opens new opportunities to raise money and grow the business. But it also means facing increased regulations, reporting requirements and public scrutiny.

To successfully launch an initial public offering (IPO), most companies hire “underwriters” — financial services firms — to guide them through the complex process. Because underwriters have expertise in valuations, filing paperwork and promoting to investors, they play a crucial role in ushering companies onto the market.

In well-established markets like the New York Stock Exchange (NYSE), an underwriter’s reputation carries immense weight with investors. Top-tier banks like Goldman Sachs have built their reputations by rigorously vetting and partnering with only the most promising companies. When Goldman Sachs takes on the role of underwriter, it sends a strong signal to potential investors that the IPO has met stringent standards. After all, a firm of Goldman’s caliber would not risk tarnishing its hard-earned reputation by associating with subpar companies.

Conversely, IPO firms recognize the value of having a prestigious underwriter. Such an association lends credibility and prestige, enhancing the company’s appeal. In a mature market environment, the underwriter’s reputation correlates to the IPO’s potential, benefiting both the investors who seek opportunities and the companies wanting to make a strong public debut.

However, assumptions about an underwriter’s reputation only hold true if the stock exchange is mature. In emerging or less developed markets, the reputation of an underwriter has no bearing on the quality or potential of the IPO it pairs with.

In an emerging market, the study finds, investors should pay attention to how much the underwriter charges a given IPO for their services. The higher the fee, the riskier it would be to invest in the IPO firm.

To arrive at their findings, the researchers leveraged a unique opportunity in China’s ChiNext Exchange. When ChiNext opened in 2009, regulations were low. Banks faced little consequence for underwriting a substandard IPO. Numerous IPOs on ChiNext were discovered to have engaged in accounting malpractice and inaccurate reporting, resulting in financial losses for investors and eroding confidence in the capital markets. So, for 18 months during 2012-2013, ChiNext closed. When it reopened, exchange reforms were stricter. And suddenly, underwriter reputation became a more reliable marker of IPO quality.

“Our research shows how priorities evolve as markets mature,” Zhang says. “In a new or developing exchange without established regulations, underwriter fees paid by IPO firms dictate the underwriter-company partnership. But as markets reform and mature, reputation and quality become the driving factors.”

The study makes a critical intervention in the understanding of market mechanisms. The findings matter for companies, investors and regulators across societies, highlighting how incentives shift, markets evolve and economic systems work.

The research opens the door to other areas of inquiry. For example, future studies could track relationships between underwriters and companies to reveal the long-term impacts of reputation, fees and rule changes. Research along these lines could help identify best practices benefiting all market participants.

“In the future, researchers could explore how cultural norms, regulations and investor behaviors influence IPO success,” says Li. “Long-term studies on specific underwriter-firm pairs could reveal insights into investor confidence and market stability. Understanding these dynamics can benefit companies, investors and policymakers alike.”

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This article originally ran on Rice Business Wisdom and was based on research from Yan “Anthea” Zhang, the Fayez Sarofim Vanguard Professor of Management – Strategic Management at Rice Business, and Haiyang Li, the H. Joe Nelson III Professor of Management – Strategic Management at Rice Business.

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People tend to have stronger reactions to unexpected news, so news that meets the public’s expectations of a company can go unnoticed. Photo via Getty Images

Houston research: How best to deliver unexpected news as a company

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According to Forbes, the volume of mergers and acquisitions in 2021 was the highest on record, and 2022 has already seen a number of major consolidation attempts. Microsoft’s acquisition of video game company Activision Blizzard was the biggest gaming industry deal in history, according to Reuters. JetBlue recently won the bid over Frontier Airlines to merge with Spirit Airlines. And, perhaps most notably, Elon Musk recently backed out of an attempt to acquire Twitter.

It can be hard to predict how markets will react to such high-profile deals (and, in Elon Musk and Twitter’s case, whether or not the deal will even pan out). But Rice Business Professor Haiyang Li and Professor Emeritus Robert Hoskisson, along with Jing Jin of the University of International Business and Economics in Beijing, have found that companies can take advantage of these deals to buffer the effects of other news.

The researchers looked at 7,575 mergers and acquisitions from 2001 to 2015, with a roughly half-and-half split between positive and negative stock market reactions. They found that when there’s a negative reaction to a deal, companies have two strategies for dealing with it. If it’s a small negative reaction, companies will release positive news announcements in an attempt to soften the blow. But when the reaction is really bad, companies actually tend to announce more negative news afterward. Specifically, companies released 18% less positive news and 52% more negative news after a bad market reaction.

This may seem counterintuitive, but there’s a method to the madness, and it all has to do with managing expectations. If people are lukewarm on a company due to a merger or acquisition, it’s possible to sway public opinion with unrelated good news. When the backlash is severe, though, a little bit of good PR won’t be enough to change people’s minds. In this case, companies release more bad news because it’s one of their best chances to do so without making waves in the future. If people already think poorly of a company due to a recent deal, more bad news isn’t great, but it doesn’t come as a surprise, either. Therefore, it’s easier to ignore.

It might make more sense to just keep quiet if the market reaction to a deal is bad, and this study found that most companies do. However, this only applies when releasing more news would make a mildly bad situation worse. If things are already bad enough that the company can’t recover with good news, it can still make the best out of a bad situation by offloading more bad news when the damage will be minimal. Companies are legally obligated to disclose business-related news or information with shareholders and with the public. If it’s bad news, they like to share it when the public is already upset about a deal, instead of releasing the negative news when there are no other distractions. In this case the additional negative news is likely to get more play in the media when disclosed by itself.

But what happens when people get excited about a merger or acquisition? In these cases, it also depends on how strong the sentiment is. If the public’s reaction is only minimally positive, companies may opt to release more good news in hopes of making the reaction stronger. When the market is already enthusiastic about the deal, though, companies won’t release more positive news. The researchers found that after an especially positive market reaction to a deal, companies indeed released 12% less positive news but 56% more negative news. Also, one could argue that the contrasting negative news makes the good news on the acquisition look even better. This may be important especially if the acquisition is a significant strategic move.

There are several reasons why a company wouldn’t continue to release positive news after a good press day and strong market reaction. First of all, they want to make sure that a rise in market price is attributed to the deal alone, and not any irrelevant news. A positive reaction to a deal also gives companies another opportunity to disclose bad news at a time when it will get less attention. If the bad news does get attention, the chances are better that stakeholders will go easy on them — a little bit of bad press is forgivable when the good news outshines it.

Companies may choose to release no news after a positive reaction to a merger or acquisition, the same way they might opt to stay quiet after backlash. They’re less likely to release positive news when stakeholders are already happy, preferring to save that news for the next time they need it, either to offset a negative reaction or strengthen a weak positive reaction.

Mergers and acquisitions can produce unpredictable market reactions, so it’s important for companies to be prepared for a variety of outcomes. In fact, Jin, Li and Hoskisson found that the steps taken by companies before deals were announced didn’t have much effect on the public’s reaction. They found that it’s more important for companies to make the best out of that reaction, whatever it turns out to be.

The researchers also found that, regardless of whether the market reaction was positive or negative, as long as the reaction was strong, companies could use the opportunity to hide smaller pieces of bad news in the shadow of a headline-making deal. Overall, the magnitude of the reaction mattered more than the type of reaction. People tend to have stronger reactions to unexpected news, though, so companies prefer to release negative news when market expectations are already low.

These findings are relevant beyond merger announcements, of course; they also point to strategies that could be useful in everyday communications. A key takeaway is that negative information is less upsetting when people already expect bad things — or when it comes after much bigger, and much better, news. Bad news is always hard to deliver, but this research gives us a few ways to soften the blow.

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This article originally ran on Rice Business Wisdom and was based on research from Jing Jin, Haiyang Li and Robert Hoskisson.

Firms looking to expand globally need to ensure that their organizational resources are adaptable to new markets. Getty Images

Houston startups planning to go global need to prioritize adaptability, researchers find

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When foreigners invest in emerging markets, the prospect for those markets' local businesses looks bright. The payoffs for a country's companies can range from injections of foreign capital to better managerial talent, technological sophistication and international know-how. But does foreign investment ever push local firms to venture into international projects of their own?

Rice Business professor Haiyang Li looked closely at the ripple effects of foreign investments, and concluded it all depends on the local businesses' adaptability. That — and their appetite for risk.

Together with Xiwei Yi of Peking University and Geng Cui of Lingan University, Hong Kong, Li launched a large-scale study of Chinese manufacturers to better understand how multinational investment in domestic companies influences the global market.

The subject was ripe for analysis. Over the past decade, more and more companies in China and other emerging markets have been testing the waters of direct investment in other countries in sectors as varied as food and beverages, apparel, electronics and transportation equipment.

Li's team hypothesized that these emerging market companies were leveraging benefits that foreign investment had ferried into their home markets. This investment, the researchers theorized, had brought in useful resources and skills, which helped ease the local companies into international business markets.

To confirm this, the team needed to test whether the converse was true: Might information gained from foreign investors actually dull a local firm's interest in branching out overseas? Maybe the risks of that type of venture — which are higher for firms in emerging markets — would seem too stark.

To find out, the researchers first vetted the literature on inward and outward investment activities. How, they wanted to know, did domestic firms interact with foreign players in the technology or product importing process? In equipment manufacturing? In franchising and licensing, mergers and acquisitions and activities such as setting up subsidiaries?

Working with a global research company, Li and his colleagues next surveyed 1,500 Chinese businesses in the food, clothing, electronics and vehicle industries. (Firms in finance, banking, natural resources and business services were ruled out because of their government ties, and also because such organizations usually use fewer resources, which made them harder to evaluate.)

Each company that took part in the survey rated how much they engaged with foreign investors in activities such as importing products and services or forming joint ventures. They also indicated if dealing with foreign direct investment had brought them foreign capital, advanced manufacturing know-how, managerial experience or competitive insight into overseas business.

The researchers also measured the "fungibility" of these firms' resources — in other words, how easily could their organizational, cultural and technological resources be adapted to various geographical settings?

Finally, managers rated how risk-prone they thought their firms were.

After Li and his coauthors processed the answers, they found several links between foreign investment in domestic firms and local companies' internationalization efforts.

First, there was a positive relationship between the local gains from foreign investment and a firm's interest in internationalization projects. While this effect was indirect, it was amplified when foreign investment gave a firm new capabilities that made it more adaptable. In other words, the Chinese companies whose contact with foreign multinationals made them more adaptable in general were better positioned to prosper in ventures abroad.

This stands to reason, the researchers note. That's because by its very nature foreign investment sparks awareness of new opportunities: every business trip, plant visit or negotiation with foreign partners is a hands-on lesson in international trade.

But the researchers also uncovered a significant downside to foreign investment for local Chinese firms. When a project was considered high-risk, such as a merger or establishment of a wholly owned subsidiary, the local firms were less prone to venture abroad. This adverse effect was worse for firms that labeled themselves risk-averse, probably because exposure to foreign investors only made the risks of internationalizing clearer.

These findings add important detail to the way foreign investment can affect their local partners' own international plans — for good and ill. Already, businesses in emerging markets are used to optimizing resources, wrangling diverse idioms and artisans and adapting logistically to get their products to market. That nimbleness, Li and his colleagues propose, should also be seen as a globalization tool. For businesses in emerging markets, the researchers conclude, day-to-day technical ability is actually less important than cultural and organizational flexibility — and applying lessons learned from foreign investors to their own projects abroad.

In other words, for firms in emerging markets, globalization is not just a path to new markets. It's a way to study interactions with foreign firms while on their home turf – and learn how to apply those lessons abroad.

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This story originally ran on Rice Business Wisdom.

Haiyang Li is Area Coordinator and Professor of Strategic Management at Jones Graduate School of Business at Rice University.

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”

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