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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Austin company to bring AI-powered school to The Woodlands

AI education

Austin-based Alpha School, which operates AI-powered private schools, is opening its first Houston-area location in The Woodlands.

The 8,000-square-foot school, scheduled to be ready for the 2026-27 academic year, initially will serve students in kindergarten through eighth grade. Alpha says the school will offer “open workshop spaces and innovative classrooms that support personalized instruction, core academics, leadership development, and real-world life skills.”

Alpha sets aside two hours each school day for the AI-driven, self-paced study of core subjects like math, reading and science. The rest of each school day consists of life-skills workshops focusing on topics such as leadership and financial literacy.

Alpha’s school in The Woodlands has begun accepting applications for the 2026-27 school year. Annual tuition costs $40,000.

“The Woodlands is one of the most dynamic, forward-thinking communities in Texas, and Alpha is proud to bring

an innovative educational model that complements its strong academic foundation,” says Rachel Goodlad, head

of expansion for Alpha.

Founded in 2014, Alpha School combines adaptive technology-driven instruction with immersive life-skills workshops. Its model emphasizes mastery-based learning in core subjects alongside development of communication, critical thinking, financial literacy and leadership skills. It operates more than 15 schools across the country.

Elsewhere in Texas, Alpha operates schools in Austin, Brownsville, Fort Worth and Plano. Alpha also operates 12 Texas Sports Academy campuses in Texas, including locations in Houston, Pearland and Richmond, along with a NextGen Academy esports school in Austin, a school for gifted students in Georgetown, and lower-cost Nova Academy campuses in Austin and Bastrop.

Alpha has fans and critics. While supporters tout students’ high achievement rates, detractors complain about the high tuition and the AI-influenced depersonalization of education.

“Students and our country need to be in relationship with other human beings,” Randi Weingarten, president of the American Federation of Teachers, a teachers union, tells The New York Times. “When you have a school that is strictly AI, it is violating that core precept of the human endeavor and of education.”

Alpha co-founder MacKenzie Price, a podcaster and social media influencer, doesn’t share Weingarten’s views.

“Parents and teachers: We need to embrace this change,” Price wrote after President Trump signed an executive order promoting AI in schools.

The Times notes that Alpha doesn’t employ AI as a tutor or a supplement. Rather, the newspaper says, AI is “the school’s primary educational driver to move students through academic content.”

Houston researcher secures $1.7M to develop drug for aggressive form of breast cancer

cancer research

A University of Houston researcher has joined a $3.2 million effort to develop a new drug designed to attack a cancer-driving protein commonly found in triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is one of the most difficult-to-treat forms of cancer and accounts for 10 percent to 15 percent of all breast cancer cases. The disease gets its name because tumors associated with it test negative for estrogen receptors, progesterone receptors and excess HER2 protein, making it difficult to target. Due to this, TNBC is often treated with general chemotherapy, which can come with negative side effects and drug resistance, according to UH.

UH College of Pharmacy research associate professor Wei Wang is developing a drug that can target the disease more specifically. The drug will target MDM2, a protein often overproduced in TNBC that also contributes to faster tumor growth.

Wang is working on a team led by Wei Li, director of the University of Tennessee Health Science Center College of Pharmacy’s Drug Discovery Center. She has received $1.7 million to support the research.

Wang and UH professor of pharmacology and toxicology Ruiwen Zhang have discovered a compound that can break down MDM2. In early laboratory models, the compound has shown the ability to shrink tumors.

Wang and Zhang will focus on understanding how the treatment works and monitoring its effectiveness in models that closely mirror human disease.

“We will study how the drug targets MDM2 and evaluate the most promising drug candidates to determine effective dosing, understand how the drug behaves in the body, compare it with existing treatments and assess early safety,” Wang said in a news release.

Li’s team at the University of Tennessee will be working on the chemistry and drug design end of the project.

“This work could lead to an entirely new class of therapies for triple-negative breast cancer,” Li added in the release. “We’re hopeful that by directly removing the MDM2 protein from cancer cells, we can help more patients respond to treatment regardless of their tumor type.”