Myopic Loss Aversion and the Equity Premium Puzzle

1.6k indexed citations

Abstract

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About

This paper, published in 1995, received 1.6k indexed citations. Written by Shlomo Benartzi and Richard H. Thaler covering the research area of Finance, Economics and Econometrics and Accounting. It is primarily cited by scholars working on Economics and Econometrics (974 citations), Finance (909 citations) and General Decision Sciences (611 citations). Published in The Quarterly Journal of Economics.

In The Last Decade

doi.org/10.2307/2118511 →

Countries where authors are citing Myopic Loss Aversion and the Equity Premium Puzzle

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Citations

This map shows the geographic impact of Myopic Loss Aversion and the Equity Premium Puzzle. 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 Myopic Loss Aversion and the Equity Premium Puzzle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Myopic Loss Aversion and the Equity Premium Puzzle more than expected).

Fields of papers citing Myopic Loss Aversion and the Equity Premium Puzzle

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Myopic Loss Aversion and the Equity Premium Puzzle. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Myopic Loss Aversion and the Equity Premium Puzzle.

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/10.2307/2118511.

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