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Explaining the Short‐ and Long‐Term IPO Anomalies in the US by R&D

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  • Re‐Jin Guo
  • Baruch Lev
  • Charles Shi

Abstract

Financial scholars who research the initial underpricing and long‐term underperformance of IPOs generally attribute these phenomena to information asymmetry and investors’ misevaluations. Here, we identify, on a sample of 2,696 US IPOs issued during 1980–1995, a widespread source of information asymmetry and valuation uncertainty—the R&D activities of issuers—and document that these activities significantly affect both the initial underpricing of IPOs (R&D is positively correlated with underpricing) and their long‐term performance (R&D is positively related to long‐term performance). Given the pervasiveness and constant growth of firms’ R&D activities in modern economies, our identification of R&D as a major factor affecting IPO's performance contributes to the understanding of this important economic and capital market phenomenon.

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  • Re‐Jin Guo & Baruch Lev & Charles Shi, 2006. "Explaining the Short‐ and Long‐Term IPO Anomalies in the US by R&D," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(3‐4), pages 550-579, April.
  • Handle: RePEc:bla:jbfnac:v:33:y:2006:i:3-4:p:550-579
    DOI: 10.1111/j.1468-5957.2006.00610.x
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    References listed on IDEAS

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    Cited by:

    1. Kao, Lanfeng & Chen, Anlin & Krishnamurti, Chandrasekhar, 2020. "Outcome model or substitute model of D&O insurance on IPO pricing without information asymmetry before issuance," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    2. Hollstein, Fabian, 2022. "The world of anomalies: Smaller than we think?," Journal of International Money and Finance, Elsevier, vol. 129(C).
    3. Xuemeng Guo & Kai Li & Siyi Yu & Bolu Wei, 2021. "Enterprises’ R&D Investment, Venture Capital Syndication and IPO Underpricing," Sustainability, MDPI, vol. 13(13), pages 1-17, June.
    4. Anh Ngoc Mai & Huong Van Vu & Bien Xuan Bui & Tuyen Quang Tran, 2019. "The lasting effects of innovation on firm profitability: panel evidence from a transitional economy," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 32(1), pages 3417-3436, January.
    5. Salerno, Dario & Sampagnaro, Gabriele & Verdoliva, Vincenzo, 2022. "Fintech and IPO underpricing: An explorative study," Finance Research Letters, Elsevier, vol. 44(C).
    6. Bui, Dien Giau & Kong, De-Rong & Lin, Chih-Yung & Lin, Tse-Chun, 2023. "Momentum in machine learning: Evidence from the Taiwan stock market," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    7. Abdul Wahid & Muhammad Zubair Mumtaz, 2020. "Long-run price performance of local and dual class IPOs in alternative investment market," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 38(1), pages 71-100.
    8. Tran, Vu Le, 2023. "Sentiment and covariance characteristics," International Review of Financial Analysis, Elsevier, vol. 86(C).
    9. Md. Jahidur Rahman & Mingyang Yang, 2021. "Effects of Venture Capital, R&D, and Technology on IPO Underpricing: Evidence from China," Capital Markets Review, Malaysian Finance Association, vol. 29(2), pages 13-28.
    10. Guo, Mengmeng & Su, Yun & Zhao, Rui, 2024. "The effect of expanded audit report on IPO underpricing: Evidence from China," Emerging Markets Review, Elsevier, vol. 58(C).
    11. Andrew Y. Chen & Tom Zimmermann, 2022. "Open Source Cross-Sectional Asset Pricing," Critical Finance Review, now publishers, vol. 11(2), pages 207-264, May.
    12. Geertsema, Paul & Lu, Helen, 2020. "The correlation structure of anomaly strategies," Journal of Banking & Finance, Elsevier, vol. 119(C).
    13. Peng, Xuan & Jia, Yibo & Chan, Kam C. & Wang, Xiongyuan, 2021. "Let us work together: The impact of customer strategic alliances on IPO underpricing and post-IPO performance," Journal of Corporate Finance, Elsevier, vol. 67(C).
    14. Elvira Tiziana La Rocca, 2016. "Ipo, Underpricing e Corporate governance: una meta analisi," ESPERIENZE D'IMPRESA, FrancoAngeli Editore, vol. 2016(1), pages 41-64.
    15. De Nard, Gianluca & Zhao, Zhao, 2022. "A large-dimensional test for cross-sectional anomalies:Efficient sorting revisited," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 654-676.
    16. Weichuan Deng & Pawel Polak & Abolfazl Safikhani & Ronakdilip Shah, 2023. "A Unified Framework for Fast Large-Scale Portfolio Optimization," Papers 2303.12751, arXiv.org, revised Nov 2023.
    17. Hediger, Simon & Michel, Loris & Näf, Jeffrey, 2022. "On the use of random forest for two-sample testing," Computational Statistics & Data Analysis, Elsevier, vol. 170(C).
    18. Jiaju Miao & Pawel Polak, 2023. "Online Ensemble of Models for Optimal Predictive Performance with Applications to Sector Rotation Strategy," Papers 2304.09947, arXiv.org.

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