Peer-reviewed research and academic insights driving innovation in financial AI, market analysis, and information processing from our academic partnerships.
Explore our latest academic contributions to AI and financial research.
Peer-reviewed publications and working papers from our academic research initiatives.
Published in Management Science (2022), this groundbreaking study uses supervised machine learning to identify 1,364 trigrams that signal nonanswers in earnings calls, revolutionizing corporate communication analysis.
An innovative examination of the relationship between corporate information sharing strategies and media coverage patterns, providing insights into optimal communication practices for public companies.
A comprehensive study examining how financial jargon and communication strategies during earnings calls directly impact market reactions and stock performance metrics.
A paradoxical investigation revealing how legislation designed to improve clarity may inadvertently reduce market efficiency through information processing dynamics.
Published in Management Science (2023), this study examines how analyst conflicts of interest affect ICO evaluations and investment recommendations, providing crucial insights into cryptocurrency market dynamics.
Published in Journal of Business Venturing (2022), this comprehensive study explores how ESG factors influence venture capital decisions and startup valuations in the sustainable entrepreneurship ecosystem.
Interested in academic partnerships or applying our research findings to your organization? Let's explore opportunities for collaboration and knowledge transfer.