Multidimensional Uncertainty and Herd Behavior in Financial Markets

521 indexed citations
published 1998
Authors
Christopher AveryPeter Zemsky
Journal
American Economic Review

In The Last Decade

doi.org/w9720815 →

Countries where authors are citing Multidimensional Uncertainty and Herd Behavior in Financial Markets

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This map shows the geographic impact of Multidimensional Uncertainty and Herd Behavior in Financial Markets. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Multidimensional Uncertainty and Herd Behavior in Financial Markets with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Multidimensional Uncertainty and Herd Behavior in Financial Markets more than expected).

Fields of papers citing Multidimensional Uncertainty and Herd Behavior in Financial Markets

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Multidimensional Uncertainty and Herd Behavior in Financial Markets. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Multidimensional Uncertainty and Herd Behavior in Financial Markets.

About Multidimensional Uncertainty and Herd Behavior in Financial Markets

This paper, published in 1998, received 521 indexed citations . Written by Christopher Avery and Peter Zemsky covering the research area of Finance and Economics and Econometrics. It is primarily cited by scholars working on Economics and Econometrics (368 citations), Finance (336 citations) and Accounting (122 citations). Published in American Economic Review.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/w9720815.

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