Catalin Starica

Catalin Starica serves as a Full Professor at the Institute of Information Management within the Faculty of Economics at the University of Neuchâtel, Switzerland. His academic profile centers on quantitative methodologies applied to financial and accounting domains, with institutional affiliation clearly anchored in the university's economics faculty structure.

His research program aggressively bridges statistical theory and financial practice, emphasizing Applied Statistics, Machine Learning in Finance, and Earnings Quality assessment. Core investigations dissect the price-earnings relationship dynamics, intangible asset valuation challenges, and the evolving role of accrual accounting in modern markets. Methodologically, he pioneers AI-driven approaches to financial statement analysis while maintaining rigorous econometric foundations.

Analysis of his 2016-2025 publications reveals a pronounced shift toward computational finance, with machine learning techniques increasingly deployed to model earnings-price associations and intangible investment impacts. His work consistently challenges conventional accounting paradigms, particularly regarding earnings quality measurement and the relevance of traditional accrual systems in technology-driven economies. The trajectory indicates growing emphasis on AI integration and structural changes in financial data interpretation.