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Cited by 627

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

IPO Market Cycles: Bubbles or Sequential Learning?

Open access
Lowry, Michelle, Schwert, G. William·2002·The Journal of Finance

Abstract

Both IPO volume and average initial returns are highly autocorrelated. Further, more companies tend to go public following periods of high initial returns. However, we find that the level of average initial returns at the time of filing contains no information about that company's eventual underpricing. Both the cycles in initial returns and the lead‐lag relation between initial returns and IPO volume are predominantly driven by information learned during the registration period. More positive information results in higher initial returns and more companies filing IPOs soon thereafter.

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Metadata

Authors
Lowry, M., & Schwert, G. W.
Venue
The Journal of Finance
Publisher
Wiley
Published
2002-06
Volume
57
Issue
3
Pages
1171-1200
ISSN
  • 0022-1082 (ISSN-L)
  • 1540-6261
OpenAlex
W3123676835
Cited by
627
References
2
FWCI
62.30
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: IPO Market Cycles: Bubbles or Sequential Learning? https://app.cochat.ai/papers/10.1111/1540-6261.00458
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Lowry, M., & Schwert, G. W. (2002). IPO Market Cycles: Bubbles or Sequential Learning? The Journal of Finance. https://doi.org/10.1111/1540-6261.00458

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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.