Bibliometric Analysis of the Availability Heuristic in Behavioral Finance and the Stock Market (1992–2025)
Bibliometric Analysis
DOI:
https://doi.org/10.37211/2789.1216.v3.n2.155Abstract
This study presents a bibliometric analysis of the availability heuristic within Behavioral Finance as applied to the stock market, covering the period from 1992 to 2025/1. The data were retrieved from the Scopus database (Elsevier, n.d.), initially identifying 833 documents, which were refined to a final sample of 405 scientific articles. Using the VOSviewer tool (Van Eck & Waltman, 2010), maps were generated to visualize co-authorship networks, keyword co-occurrence, and citation patterns, along with graphs illustrating the evolution of scientific output in this field. The analysis revealed key thematic clusters, including the relationship between the availability heuristic and concepts such as prospect theory (Kahneman & Tversky, 1979) and decision-making (Tversky & Kahneman, 1974).
Influential authors such as Maqsood Ahmad (Ahmad, 2021), Jinesh Jain (Jain, 2020), Robert Durand (Durand, 2011), David Hirshleifer (Hirshleifer & Teoh, 2003), Timothy Pollock (Pollock & Rindova, 2003), and David Laibson (Laibson, 1997) were identified for their significant contributions to the field. The findings highlight gaps in the literature, particularly regarding geographic diversity and methodological approaches. Overall, this study offers an updated and structured overview of the state of the art and suggests new directions for future research in behavioral finance.
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