Cambridge, MA: December 13, 2024
The proliferation of large unstructured datasets along with advances in
artificial intelligence (AI) technology provides researchers in
financial economics with new opportunities for data analysis, and it
also changes the set of subjects these researchers are studying. As AI
becomes increasingly important in making decisions using financial
market data, it becomes crucial to study how AI interacts with both data
resources and with human decision-makers.
To promote research on emerging issues related to the methodology,
applications, and socioeconomic implications of the growing availability
of large datasets and AI tools, the National Bureau of Economic Research
(NBER), with the generous support of the Office of Financial Research
(OFR) and in collaboration with the Review of Financial Studies (RFS),
will convene a research conference on December 13, 2024. The program
will be organized by RFS Executive Editor Tarun Ramadorai of Imperial
College London, and NBER Research Associates Itay Goldstein of the
University of Pennsylvania, Chester Spatt of Carnegie Mellon University,
and Mao Ye of Cornell University.
The organizers will consider submissions on topics including, but not
limited to:
- Unstructured Data Analysis and AI: The impact on financial markets
of the growing use of AI technology to analyze unstructured data, such
as text, images, audio, and video. - Trading and AI: The impact of using AI in high-frequency trading,
algorithmic trading, and the impacts of this use on financial markets. - Big Data and AI in Investment: The rise of machines in asset
management, particularly the growing analysis of high-dimensional
datasets using machine learning techniques. - Big Data and AI in Corporate Decisions: The impact of AI as well as
other means of analyzing unstructured datasets and automating decision
making on corporate decisions, such as capital budgeting, working
capital management, and regulatory compliance and reporting. - Financial Institutions and Financial Intermediation: The impact of
AI, fintech, and the analysis of large datasets on traditional financial
institutions. - AI and Regulation: The role of AI in detecting improper market
conduct, the regulation of algorithms and winner-take-all markets, and
strategies for ensuring accountability, fairness and transparency in AI
models.
The organizers welcome submissions of both empirical and theoretical
research papers and encourage submissions from scholars who are early in
their careers, who are not NBER affiliates, and who are from under
represented groups in the financial economics profession.
Papers that are submitted for presentation at the conference may also be
submitted to the RFS under its dual review system at no extra cost.
Papers that are rejected at any stage of this process are not considered
to have been rejected the RFS. Authors may submit a future version
of the same paper to the RFS, even if the paper is not selected for
presentation at the conference. For a paper to be considered under the
dual submission option, it may not be under review or invited revision
at any journal, including the RFS, until the author has been notified of
the outcome of the dual submission process. The details of the dual
submission program may be found at https://sfs.org/dualsubmissionpolicy.
To be considered for inclusion on the program, papers must be uploaded
by 11:59 pm EDT on Thursday, September 12, 2024 to one of the following
sites:
For submissions to both the conference and the Review of Financial Studies:
https://conference.nber.org/confsubmit/backend/cfp?id=BDSMf24r
For submissions to the conference alone:
https://conference.nber.org/confsubmit/backend/cfp?id=BDSMf24
Please do not submit papers that have been accepted for publication or
that will be published before the conference. Authors chosen to present
papers will be notified in October, 2024. All presenters are expected
to attend the meeting in person. The NBER will cover the travel and
lodging cost of up to two presenters per paper.
Questions about this conference may be addressed to gargera@nber.org.
The post Big Data, Artificial Intelligence, and Financial Economics – Call for Papers first appeared on Society for Financial Studies.