IDEAS home Printed from https://ideas.repec.org/a/eee/pacfin/v96y2026ics0927538x26000077.html

Understanding researchers' perceptions and experiences in finance research replication studies: A pre-registered study

Author

Listed:
  • Chai, Daniel
  • Ali, Searat
  • Brosnan, Mark
  • Hasso, Tim

Abstract

This pre-registered study executes the empirical design approved in the associated pre-registered report (Chai et al., 2024) to survey authors of replication studies at the Pacific-Basin Finance Journal (PBFJ). The survey aims to understand their motivations, challenges encountered, and perceived benefits, as well as their evaluations of the replication framework. The findings reveal strong support for replication studies, with participants emphasizing their role in fostering a more robust research culture in financial economics. However, challenges in reproduction and replication frequently arise due to issues with the accessibility and quality of open-source materials provided in the original studies. Our results also suggest that PBFJ's initiative offers a replicable model for other journals, providing actionable insights to address the replication crisis. Key recommendations include providing academic recognition for replication work, standardizing data transparency mandates, and promoting cross-disciplinary dialogue on robust research practices.

Suggested Citation

  • Chai, Daniel & Ali, Searat & Brosnan, Mark & Hasso, Tim, 2026. "Understanding researchers' perceptions and experiences in finance research replication studies: A pre-registered study," Pacific-Basin Finance Journal, Elsevier, vol. 96(C).
    • Handle: RePEc:eee:pacfin:v:96:y:2026:i:c:s0927538x26000077
    DOI: 10.1016/j.pacfin.2026.103061
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0927538X26000077
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.pacfin.2026.103061?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Robert W. Faff & Tom Smith, 2015. "A simple template for pitching research," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 55(2), pages 311-336, June.
    2. Kewei Hou & Chen Xue & Lu Zhang, 2020. "Replicating Anomalies," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2019-2133.
    3. Welch, Ivo, 2019. "Reproducing, Extending, Updating, Replicating, Reexamining, and Reconciling," Critical Finance Review, now publishers, vol. 8(1-2), pages 301-304, December.
    4. Martijn Cremers & Michael Halling & David Weinbaum, 2015. "Aggregate Jump and Volatility Risk in the Cross-Section of Stock Returns," Journal of Finance, American Finance Association, vol. 70(2), pages 577-614, April.
    5. Campbell R. Harvey, 2017. "Presidential Address: The Scientific Outlook in Financial Economics," Journal of Finance, American Finance Association, vol. 72(4), pages 1399-1440, August.
    6. Theis Ingerslev Jensen & Bryan Kelly & Lasse Heje Pedersen, 2023. "Is There a Replication Crisis in Finance?," Journal of Finance, American Finance Association, vol. 78(5), pages 2465-2518, October.
    7. Chai, Daniel & Ali, Searat & Brosnan, Mark & Hasso, Tim, 2024. "Understanding researchers' perceptions and experiences in finance research replication studies: A pre-registered report," Pacific-Basin Finance Journal, Elsevier, vol. 86(C).
    8. Harvey, Campbell R., 2019. "Editorial: Replication in Financial Economics," Critical Finance Review, now publishers, vol. 8(1-2), pages 1-9, December.
    9. Luzi Hail & Mark Lang & Christian Leuz, 2020. "Reproducibility in Accounting Research: Views of the Research Community," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 58(2), pages 519-543, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chai, Daniel & Ali, Searat & Brosnan, Mark & Hasso, Tim, 2024. "Understanding researchers' perceptions and experiences in finance research replication studies: A pre-registered report," Pacific-Basin Finance Journal, Elsevier, vol. 86(C).
    2. Julian Junyan Wang & Victor Xiaoqi Wang, 2025. "Assessing Consistency and Reproducibility in the Outputs of Large Language Models: Evidence Across Diverse Finance and Accounting Tasks," Papers 2503.16974, arXiv.org, revised Sep 2025.
    3. Christophe Hurlin & Jean-Edouard Colliard & Christophe Pérignon, 2024. "The Economics of Computational Reproducibility," Working Papers hal-04759240, HAL.
    4. Fieberg, Christian & Günther, Steffen & Poddig, Thorsten & Zaremba, Adam, 2024. "Non-standard errors in the cryptocurrency world," International Review of Financial Analysis, Elsevier, vol. 92(C).
    5. Baltussen, Guido & Swinkels, Laurens & Van Vliet, Pim, 2021. "Global factor premiums," Journal of Financial Economics, Elsevier, vol. 142(3), pages 1128-1154.
    6. Dong, Mengmeng, 2025. "Economic aggregation of return signals in global markets," Journal of Empirical Finance, Elsevier, vol. 84(C).
    7. Wang, Ming-Long & Shi, Huai-Long & Wan, Yu-Lei & Wang, Jing-Jin, 2026. "Luck “duels” among factors in China," The Quarterly Review of Economics and Finance, Elsevier, vol. 106(C).
    8. Guillaume Coqueret, 2023. "Forking paths in financial economics," Papers 2401.08606, arXiv.org.
    9. Christophe Pérignon & Olivier Akmansoy & Christophe Hurlin & Anna Dreber & Felix Holzmeister & Jürgen Huber & Magnus Johannesson & Michael Kirchler & Albert J Menkveld & Michael Razen & Utz Weitzel, 2024. "Computational Reproducibility in Finance: Evidence from 1,000 Tests," The Review of Financial Studies, Society for Financial Studies, vol. 37(11), pages 3558-3593.
    10. Johnstone, David, 2022. "Accounting research and the significance test crisis," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 89(C).
    11. Coqueret, Guillaume & Pérignon, Christophe, 2025. "Persistent Anomalies and Nonstandard Errors," HEC Research Papers Series 1578, HEC Paris.
    12. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    13. Erik Johannesson & James A. Ohlson & Sophia Weihuan Zhai, 2024. "The explanatory power of explanatory variables," Review of Accounting Studies, Springer, vol. 29(4), pages 3053-3083, December.
    14. Hsu, Po-Hsuan & Taylor, Mark P. & Wang, Zigan & Li, Yan, 2025. "On the profitability of influential carry-trade strategies: Data-snooping bias and post-publication performance," Journal of Empirical Finance, Elsevier, vol. 83(C).
    15. Conlon, Thomas & Cotter, John & Ropotos, Ioannis, 2026. "Drivers of firm-level tail dependence: A machine learning approach," Journal of Economic Dynamics and Control, Elsevier, vol. 182(C).
    16. Yong Hyuck Kim, 2026. "Are anomalies artefacts of sample composition?," Journal of Asset Management, Palgrave Macmillan, vol. 27(3), pages 1-19, September.
    17. Vitor Azevedo & Christopher Hoegner, 2023. "Enhancing stock market anomalies with machine learning," Review of Quantitative Finance and Accounting, Springer, vol. 60(1), pages 195-230, January.
    18. Michaelides, Michael, 2021. "Large sample size bias in empirical finance," Finance Research Letters, Elsevier, vol. 41(C).
    19. Dickerson, Alexander & Julliard, Christian & Mueller, Philippe, 2026. "The co-pricing factor zoo," LSE Research Online Documents on Economics 138476, London School of Economics and Political Science, LSE Library.
    20. Anderson, Warwick & Białkowski, Jędrzej & Wagner, Moritz, 2023. "Midterm elections and stock returns," Finance Research Letters, Elsevier, vol. 55(PA).

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • G00 - Financial Economics - - General - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:pacfin:v:96:y:2026:i:c:s0927538x26000077. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/pacfin .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.