A new paper examines algorithmic pricing and the challenges companies can face when integrating it with their other objectives. The researchers offer some preliminary dos and don’ts for aligning pricing with marketing strategy, regulations, and avoiding customer backlash.

Metin Sengul, professor of management at Texas McCombs, wondered why some companies structure themselves with a gap or “wedge” between their control rights and rights to the subsidiary’s earnings.

In new research, he finds two internal factors that influence those decisions:

Relatedness: how closely the subsidiary’s operations relate to the other businesses the parent operates, such as all being in segments of the auto industry.

Multimarket contact: the degree to which the parent and subsidiary face the same competitors in multiple geographic or product markets.

Anorexia is a serious mental health disorder that typically begins during adolescence. A study, conducted by the Research Unit of Population Health and Oulu Business School at the University of Oulu, examined how anorexia in adolescence affects labour market position in adulthood compared with peers.

Data visualization is a powerful tool for supporting decision-making. Researchers at the University of Tsukuba systematically reviewed major data visualization research papers from the past 16 years, analyzing their scope using a multidimensional decision-making framework. They found that data visualization primarily supports decision-making at the organizational and community levels. The results provide valuable insights that will foster the development of new visualization technologies and expand their applications in decision support through data visualization.

The stringent environmental regulations in China could potentially be enhancing productivity in the new energy sector, research from Harbin University of Science and Technology and Edith Cowan University (ECU) has found.  

The team found that the law dramatically reduced out-of-pocket costs, with an average annual savings of nearly $600 per patient.

This study explores the effectiveness of pair trading strategies within the cryptocurrency market, focusing on three key statistical methods: distance, cointegration, and a novel hybrid approach combining both. Using high-frequency and daily trading data from the top 50 cryptocurrencies on Binance during bullish, stable, and bearish periods from 2020 to 2022, the research conducts a rigorous sensitivity analysis of entry and exit thresholds, as well as portfolio size. The findings demonstrate that pair trading yields substantial profitability, especially on shorter time frames such as 15- and 5-minute intervals. Fixed entry thresholds outperform dynamic ones, while the hybrid approach significantly improves pair selection efficiency. These results offer practical, data-driven guidance for traders, portfolio managers, and fintech professionals seeking to capitalise on the inefficiencies and volatility of the crypto market.