Vitaly Meursault

Vitaly Meursault serves as an Adjunct Professor of Finance at Carnegie Mellon University's Tepper School of Business in Pittsburgh, actively contributing to academic instruction through recent courses including Applied Business AI (January-May 2024) and Finance (July-August 2019).

His educational background demonstrates rigorous training in quantitative finance:

• Ph.D. in Financial Economics, Carnegie Mellon University (2020)
• M.A. in Financial Economics, European University at Saint Petersburg (2015)
• B.A. in History, St. Petersburg State University (2013)

Meursault's research pioneers the integration of textual analysis with financial economics, focusing on behavioral market anomalies. His work develops computational methods to extract insights from earnings call transcripts, revealing how linguistic patterns drive stock price movements beyond traditional numerical metrics. This interdisciplinary approach bridges finance theory with natural language processing to decode market inefficiencies and investor behavior.

His sole documented publication establishes a novel text-based framework (SUE.txt) that generates significant post-earnings-announcement drift (PEAD.txt), demonstrating persistent market anomalies even when conventional PEAD has diminished. The research highlights textual content as a critical dimension for understanding earnings surprises and fundamental firm performance.

No scientific awards or honors were documented in the source materials.

While specific advising relationships and grant funding remain unreported, his teaching portfolio indicates active engagement in both foundational finance education and emerging AI applications. The absence of laboratory or team affiliations in the provided data suggests independent research execution within the Tepper School framework.