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Cited by 2,198

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Overconfidence and Speculative Bubbles

Scheinkman, José A., Xiong, Wei·2003·Journal of Political Economy

Abstract

Motivated by the behavior of asset prices, trading volume, and price volatility during episodes of asset price bubbles, we present a continuous‐time equilibrium model in which overconfidence generates disagreements among agents regarding asset fundamentals. With short‐sale constraints, an asset buyer acquires an option to sell the asset to other agents when those agents have more optimistic beliefs. As in a paper by Harrison and Kreps, agents pay prices that exceed their own valuation of future dividends because they believe that in the future they will find a buyer willing to pay even more. This causes a significant bubble component in asset prices even when small differences of beliefs are sufficient to generate a trade. In equilibrium, bubbles are accompanied by large trading volume and high price volatility. Our analysis shows that while Tobin’s tax can substantially reduce speculative trading when transaction costs are small, it has only a limited impact on the size of the bubble or on price volatility.

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Metadata

Authors
Scheinkman, J. A., & Xiong, W.
Venue
Journal of Political Economy
Published
2003-12
Volume
111
Issue
6
Pages
1183-1220
ISSN
  • 0022-3808 (ISSN-L)
  • 1537-534X
OpenAlex
W3123195209
Cited by
2,198
References
3
FWCI
86.69
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Overconfidence and Speculative Bubbles. https://app.cochat.ai/papers/10.1086/378531
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Scheinkman, J. A., & Xiong, W. (2003). Overconfidence and Speculative Bubbles. Journal of Political Economy. https://doi.org/10.1086/378531

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.