The Pacific-Basin Finance Journal (PBFJ) is pleased to announce a special issue and conference on “Artificial Intelligence and Machine Learning in Corporate Finance”, co-hosted by Xiamen University for December 5-7, 2023.
As AI techniques are increasingly being deployed in corporate decision-making practice, there is emerging corporate finance research on the topic. This special issue and conference will provide a platform for researchers, practitioners, and policymakers in a cross-disciplinary arena to share new insights, and foster innovation and progress in the field.
We welcome high-quality submissions that address the challenges and opportunities of using AI techniques in corporate finance within the Asia Pacific region. The conference will feature a dual-track format, with separate tracks for complete papers and pre-registered research proposals. Topics of interest include, but are not limited to: capital structure, corporate investment, corporate governance, risk management, FinTech, and causal inference in empirical corporate finance using machine learning.
KEYNOTE SPEAKERS:
Professor Wei Jiang, Asa Griggs Candler Professor of Finance, Emory University
Professor Robert Faff, Editor-in-Chief of PBFJ
Professor Shinong Wu, Xiamen University
GUEST EDITORS:
Associate Professor Sean Cao, University of Maryland
Professor Yuhui Wu, Xiamen University
Professor Xiaoyun Yu, Shanghai Advanced Institute of Finance, Shanghai Jiao Tong University
Associate Professor Qing (Clara) Zhou, Macquarie University
CONFERENCE ORGANIZING COMMITTEE:
Professor Jun Chen, Zhejiang University
Professor Yanchao Wang, Central University of Finance and Economics
Professor Yanyan Wang, Xiamen University
Professor Chaopeng Wu, Xiamen University
Professor Jiaxing You, Xiamen University
Professor Junsheng Zhang, Sun Yat-sen University
Associate Professor Qing (Clara) Zhou, Macquarie University
Conference date: December 5-7, 2023
Location: School of Management, Xiamen University
Conference Submission: The conference has two submission formats
A pre-registration process focuses on accepting proposed projects based on great ideas and highly capable expert research teams who employ frontier techniques that deliver credible and reliable knowledge. Critically, the evaluation occurs before the research has been done, before the analysis, and before the data or sample have been collected, drawn, or scrutinized. The decision to publish is based on the importance of the research question and the strength of the methods rather than the significance or direction of the results. For more information on the pre-registration publication initiative, please refer to the article "PBFJ Editorial... Engaging with responsible science. 'OPEN FOR BUSINESS' – Launching the PBFJ pre-registration publication initiative" in PBFJ through the link provided below
https://www.sciencedirect.com/science/article/pii/S0927538X22001329 .
Please submit a complete English version of your research paper or research proposal in PDF or Microsoft Word to dept_fin@xmu.edu.cn with the subject “PBFJ conference submission”. The first page should be a title page that includes authors’ details (e.g., names, institutions, and email). There is no paper submission fee. All papers and proposals must be submitted before 11:55 pm Beijing Time on September 30, 2023. Accepted papers to present at the conference will be notified by October 31, 2023. Please contact Mrs. Zhiqian Jiang at zhiqian.jiang@xmu.edu.cn for any inquiries regarding the conference submission.
Information on the Special Issue of the Pacific-Basin Finance Journal
Selected papers and proposals presented at the conference will be invited to be submitted to the “Pacific-Basin Finance Journal” (PACFIN). Detailed information for the special issue submission will be sent to the authors in the invitation email. All submissions will be subject to a rigorous peer-review process. For pre-registered research proposals, both the proposal and the accompanying fully executed paper can be published after an appropriate peer review process.
