As corporate debt markets continue to grow in importance, it will become crucial for investors and regulators to understand the nuanced factors influencing their liquidity. Photo via Getty Images

At the end of every quarter, publicly traded companies announce their profits and losses in an earnings report. These updates provide insight into a company’s performance and, in theory, give investors and shareholders clarity on whether to buy, sell or hold. If earnings are good, the stock price may soar. If they’re down, the price might plunge.

However, the implications for the stock price may not be immediately clear to all investors. In the face of this uncertainty, sellers will ask for high prices, and buyers will offer low ones, creating a significant “bid-ask spread.” When this happens, it becomes more costly to trade, and the stock becomes less liquid.

This is a well-documented effect on equity stock markets. However, according to research by Stefan Huber (Rice Business), Chongho Kim (Seoul National University) and Edward M. Watts (Yale SOM), the corporate bond market responds differently to earnings news. This is because bond markets differ from stock markets in a significant way.

Stocks v. Bonds: What Happens When Earnings Are Announced?

Equities are usually traded on centralized exchanges (e.g., New York Stock Exchange). The exchange automatically queues up buyers and sellers according to the quote they’ve entered. Trades are executed electronically, and the parties involved are typically anonymous. A prospective buyer might purchase Microsoft shares from someone drawing down their 401(k) — or they could be buying from Bill Gates himself.

Corporate bond markets work differently. They are “over-the-counter” (OTC) markets, meaning a buyer or seller needs to find a counterparty to trade with. This involves getting quotes from and negotiating with potential counterparties. This is an inherent friction in bond trading that results in much higher costs of trading in the form of wider bid-ask spreads.

Here’s what Huber and his colleagues learned from the research: Earnings announcements prompt many investors to trade. And on OTC markets, potential buyers and sellers become easier to find and negotiate with.

A Stronger Bargaining Position for Bonds

According to Huber, “When earnings information comes out, a lot of people want to trade. In bond markets, that makes it much easier to find someone to trade with. The more options you have to trade, the stronger your bargaining position becomes, and the lower your trading costs go.”

He compares the process to shopping in a market with a flexible approach to pricing.

“Let's say you're at a farmers market and you want to buy an apple,” Huber says. “If there is only one seller, you buy the apple from that person. They can ask for whatever price they want. But if there are multiple sellers, you can ask around, and there is potential to get a better price. The price you get depends on the number of options you have in trading partners.”

What’s at Stake?

Although bonds receive less attention than equities, the stakes are high. There is about $10 trillion in outstanding corporate debt in the U.S., and more than $34 billion in average daily trading volume.

A detailed record of bond trades is available from the Financial Industry Regulatory Authority (FINRA), which requires that trades be reported via their Trade Reporting and Compliance Engine (TRACE).

The study from Huber and co-authors uses an enhanced version of TRACE to examine trades executed between 2002 and 2020. The team analyzed the thirty-day periods before and after earnings announcements to gather data about volume, bid-ask spreads and other measures of liquidity.

They find that, like on the stock market, there are more investors and broker-dealers trading bonds around earnings announcements. However, unlike on the stock market, transaction costs for bonds decrease by 6 to 7 percent in the form of bid-ask spreads.

What Sets This Research Apart?

“Taking a purely information asymmetry-based view would predict that what happens to stock liquidity would also happen to bonds,” Huber says. “A piece of information drops, and some people are better able to work with it, so others price protect, and bid-ask spreads and the cost of trading go up.”

“But if you consider the search and bargaining frictions in bond markets, you get a more nuanced picture. While information asymmetry increases, like it does on stock markets, the information prompts more investors into bond trading, which makes it easier to find counterparties and get better transaction prices. Consequently, bid-ask spreads go down. This search and bargaining friction does not really exist on equities exchanges. But we cannot ignore it in OTC markets.”

As corporate debt markets continue to grow in importance, it will become crucial for investors and regulators to understand the nuanced factors influencing their liquidity. This study provides a solid foundation for future research.

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This article originally ran on Rice Business Wisdom. For more, see “Earnings News and Over-the-Counter Markets.” Journal of Accounting Research 62.2 (2024): 701-35.

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UH receives $2.6M gift to support opioid addiction research and treatment

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The estate of Dr. William A. Gibson has granted the University of Houston a $2.6 million gift to support and expand its opioid addiction research, including the development of a fentanyl vaccine that could block the drug's ability to enter the brain.

The gift builds upon a previous donation from the Gibson estate that honored the scientist’s late son Michael, who died from drug addiction in 2019. The original donation established the Michael C. Gibson Addiction Research Program in UH's department of psychology. The latest donation will establish the Michael Conner Gibson Endowed Professorship in Psychology and the Michael Conner Gibson Research Endowment in the College of Liberal Arts and Social Sciences.

“This incredibly generous gift will accelerate UH’s addiction research program and advance new approaches to treatment,” Daniel O’Connor, dean of the College of Liberal Arts and Social Sciences, said in a news release.

The Michael C. Gibson Addiction Research Program is led by UH professor of psychology Therese Kosten and Colin Haile, a founding member of the UH Drug Discovery Institute. Currently, the program produces high-profile drug research, including the fentanyl vaccine.

According to UH, the vaccine can eliminate the drug’s “high” and could have major implications for the nation’s opioid epidemic, as research reveals Opioid Use Disorder (OUD) is treatable.

The endowed professorship is combined with a one-to-one match from the Aspire Fund Challenge, a $50 million grant program established in 2019 by an anonymous donor. UH says the program has helped the university increase its number of endowed chairs and professorships, including this new position in the department of psychology.

“Our future discoveries will forever honor the memory of Michael Conner Gibson and the Gibson family,” O’Connor added in the release. “And I expect that the work supported by these endowments will eventually save many thousands of lives.”

CenterPoint and partners launch AI initiative to stabilize the power grid

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Houston-based utility company CenterPoint Energy is one of the founding partners of a new AI infrastructure initiative called Chain Reaction.

Software companies NVIDIA and Palantir have joined CenterPoint in forming Chain Reaction, which is aimed at speeding up AI buildouts for energy producers and distributors, data centers and infrastructure builders. Among the initiative’s goals are to stabilize and expand the power grid to meet growing demand from data centers, and to design and develop large data centers that can support AI activity.

“The energy infrastructure buildout is the industrial challenge of our generation,” Tristan Gruska, Palantir’s head of energy and infrastructure, says in a news release. “But the software that the sector relies on was not built for this moment. We have spent years quietly deploying systems that keep power plants running and grids reliable. Chain Reaction is the result of building from the ground up for the demands of AI.”

CenterPoint serves about 7 million customers in Texas, Indiana, Minnesota and Ohio. After Hurricane Beryl struck Houston in July 2024, CenterPoint committed to building a resilient power grid for the region and chose Palantir as its “software backbone.”

“Never before have technology and energy been so intertwined in determining the future course of American innovation, commercial growth, and economic security,” Jason Wells, chairman, president and CEO of CenterPoint, added in the release.

In November, the utility company got the go-ahead from the Public Utility Commission of Texas for a $2.9 billion upgrade of its Houston-area power grid. CenterPoint serves 2.9 million customers in a 12-county territory anchored by Houston.

A month earlier, CenterPoint launched a $65 billion, 10-year capital improvement plan to support rising demand for power across all of its service territories.

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This article originally appeared on our sister site, EnergyCapitalHTX.com.

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.