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Full-Text Articles in Finance and Financial Management
Does Abstract Thinking Facilitate Information Processing? Evidence From Financial Analysts, Frank Weikai Li, Rong Wang, Yang Yu, Gloria Yang Yu
Does Abstract Thinking Facilitate Information Processing? Evidence From Financial Analysts, Frank Weikai Li, Rong Wang, Yang Yu, Gloria Yang Yu
Research Collection Lee Kong Chian School Of Business
We study whether abstract thinking – an essential cognitive trait established by psychological and neuroscientific studies – facilitates analysts’ information processing. Exploiting analysts’ questions during earnings calls, we construct an Abstract Thinking Index (ATI) that measures their tendency to involve abstract words, logical reasoning, broader topics, and future outlooks. We find that abstract thinking improves analysts’ forecast accuracy and recommendation informativeness. Consistent with abstract thinking featuring identifying central characteristics and comprehending intangible things, ATI has stronger effects for firms with fundamentals co-moving more with peers and less tangible information. Additional analyses suggest that ATI captures analysts’ cognitive traits rather than …
Essays On Information Diffusion And Stock Market Efficiency & Analyst Style, Zuben Jin
Essays On Information Diffusion And Stock Market Efficiency & Analyst Style, Zuben Jin
Dissertations and Theses Collection (Open Access)
The dissertation consists of three chapters on information diffusion and stock market efficiency and analyst style. The first chapter examines the asset pricing implications of investors’ inattention to non-obvious firm relatedness hidden in earnings calls. This chapter documents that the overlap in attention allocation over various business aspects serves as a time-sensitive proxy for firm relatedness. By employing the unsupervised topic modelling methodology, I characterize the attention allocation of earnings conference call participants (executives, investors and analysts) over topics discussed. I construct a novel cross-firm topic similarity measure that captures difficultto-observe and time-varying firm relatedness compared with existing peer-firm classification …