New research reveals that companies often “opinion shop” to shape their financial reality. Photo via rice.edu

Firms often have to estimate the “fair value” of their investments, meaning they have to declare what an asset is worth on the market. To avoid the potential for bias and manipulation, companies will use third-party services to provide an objective estimate of their assets’ fair value.

But nothing prevents a company from seeking multiple third-party estimates and choosing whichever one suits their purpose.

In a recent study, Shiva Sivaramakrishnan (Rice Business) and co-authors Minjae Koo (The Chinese University of Hong Kong) and Yuping Zhao (University of Houston) examine two motives for switching third-party evaluators: “opinion shopping” and “objective valuation.”

Firms that opinion shop are looking for a third-party source to make their investments look better on paper. For example, if Service A says an asset is worth $80 — and that means the company would have to take an accounting loss — the company might switch to Service B, which says the asset is worth $90. By using the higher estimate from Service B, the company avoids a loss.

Opinion shopping can be a dangerous practice, both on a macro level and for the specific firms that engage in it. Not only does it reduce the quality of fair value estimates for everyone, it means some company assets are potentially overvalued. And if those assets ever decline in value for real, the company will eventually take a loss.

Moreover, opinion shopping opens the door to managerial opportunism. If assets are valued more highly, managers are likely to receive credit and potentially use that perceived accomplishment to advance their careers.

There are reasons for companies to go the other way. In the hypothetical scenario above, our company might switch from Service B ($90) to Service A ($80) to receive a more accurate and objective estimate. The “objective valuation” motive helps companies meet regulatory requirements and ensure estimates reflect true market value. What’s more, the objective valuation motive helps curb managerial buccaneering.

The study looks at when and why life insurance companies will switch their third-party review service. The team finds that both motives — opinion shopping and objective valuation — are common. Sometimes companies want to better align their fair value estimates with what similar assets are trading for in the market. Other times, they want assets to look better on paper.

Of the two motives, opinion shopping is the more dominant, particularly when they are in conflict with each other. On the whole, evidence suggests that companies switch price sources strategically to inflate estimates and avoid losses, rather than to get more accurate estimates.

The study has implications for investors, regulators and researchers. “Opinion shopping” could be prevalent in non-financial industries, as well — especially public firms with capital market incentives. More disclosure around price sources could improve estimate reliability.

Future research could examine asset valuation practices and motives in other sectors such as banking, real estate and equity investments. Are some industries more prone to opinion shopping than others? What factors make opinion shopping or objective valuation more likely? Are there certain signals or patterns that indicate when a company is opinion shopping versus seeking objectivity?

Answers to these questions could help discern acceptable from unacceptable third-party source switching. And understanding if certain types of companies are more at risk could help regulators and auditors focus their efforts.

The bottom line:

Accurate accounting matters. While external sources are better for measuring the fair value of any given asset, companies can distort the very concept of fair value estimates by changing their source. More rigor, transparency and auditing around price sources could curb manipulation and improve estimate reliability.

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This article originally ran on Rice Business Wisdom and was based on research from Shiva Sivaramakrishnan, the Henry Gardiner Symonds Professor of Accounting at Rice Business.

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$5B Austin medical center, anchored by MD Anderson, to break ground this fall

moving forward

Construction on the $1 billion first phase of the AI-native University of Texas Dell Medical Center in Austin—which will feature a hospital operated by Houston’s UT MD Anderson Cancer Center—is set to start this fall.

The UT System Board of Regents approved funding for first-phase construction on Aug. 12.

The medical center—now expected to cost $5 billion, up from the initial $2.9 billion estimate—will span about 2.5 million square feet. It will include 300 to 500 patient beds, outpatient facilities, an emergency department and specialized care for cancer patients.

MD Anderson will bring its world-renowned oncology programs to the center’s integrated health care model, Dr. Claudia Lucchinetti, senior vice president of medical affairs at UT Austin and dean of the university’s Dell Medical School, tells Health Leaders.

Earlier this year, Austin tech billionaire Michael Dell and his wife, Susan, pledged $750 million for development of the medical center. The medical center, scheduled for completion in December 2030, will be a cornerstone of the new 300-acre UT Dell Campus for Advanced Research, a medical education and research hub.

“Through this new campus and medical center, Texas will lead America in health care innovation,” Gov. Greg Abbott said when the research campus was announced in April. “The next generation of medical breakthroughs will take place in Central Texas.”

The medical center will fold AI tools and other technology into the infrastructure, rather than having them added after it’s built. Among other capabilities, the technology will monitor real-time medical data, automate data entry, and help health care professionals quickly predict and identify risks to patients, according to Health Leaders.

“We are not just building a new medical center,” Lucchinetti says. “We are building a fundamentally new model of health. It’s not just a new facility. It’s not just a new collaboration. It is a convergence of capabilities that rarely come together at the same time.”

Rice lands $15M U.S. Army award to launch next-gen wireless research center

defense funding

The U.S. Army Research Office has awarded Rice University $15 million to establish a new center for next-generation sensing and communications.

The five-year research center—dubbed the Center for Large Aperture Secure Sensing, Imaging and Communications (CLASSIC)—will unite researchers from universities and national laboratories to develop advanced antenna technologies for future wireless systems. Edward Knightly, the Sheafor-Lindsay Professor of Electrical and Computer Engineering at Rice, will lead the center that “combines expertise in wireless networking, antennas, radar, artificial intelligence, circuits and physics to address growing demands on wireless systems,” according to Rice.

“The challenges we’re tackling require advances that span physics, hardware, communications and computing," Knightly said in a news release. “By combining those strengths in a single center, we can accelerate the development and demonstration of technologies that would not be possible through individual efforts alone.”

Joining Knightly will be Ashutosh Sabharwal of Rice, Sensen Li of the University of Texas at Austin, Hou-Tong Chen of Los Alamos National Laboratory, Danijela Cabric of UCLA, Josep M. Jornet and Tommaso Melodia of Northeastern University, Daniel M. Mittleman of Brown University, and Willie Padilla of Duke University.

Industry partners include Booz Allen Hamilton, Intel, Keysight, Lockheed Martin, MITRE, Northrop Grumman, Qualcomm and Raytheon.

CLASSIC researchers will investigate how large-scale antenna arrays (ELSAAs) can expand the capabilities of wireless systems where technology is limited.

ELSAAs use thousands of coordinated antenna elements to direct radio waves. Researchers aim to develop ways to use the technology to help maintain steady communication when signals are blocked or disrupted and to detect and generate detailed images of concealed objects.

Along with ELSAAs, the center will work to develop sensing techniques for threat detection, study wireless jamming and build resilient high-speed wireless networks. Researchers will ultimately validate the technology in labs and via drone-based field trials.

CLASSIC will also work on developing an AI-driven modeling framework that will simulate complex electromagnetic environments in real time.

“This award demonstrates Rice’s leadership in tackling complex national research challenges through collaboration across disciplines and institutions,” David Sholl, executive vice president for research at Rice, added in the release.