Call for Papers: AI in Finance Conference. Deadline: February 1, 2025
Conference date
10 Jun 2025
Location
Washington, DC
Description
Dear colleagues,
Following a successful inaugural conference on AI in Finance in 2024 (https://sites.google.com/view/ai-finance-conference), we are excited to host our next AI in Finance conference on June 10, 2025, at the University of Maryland's Smith School of Business. Submit a paper by February 1, 2025 here:
https://sites.google.com/view/ai-finance-conference-2025/paper-submission
We invite the submission of empirical, theoretical, or experimental papers that study the opportunities and risks of AI technologies in Finance. Our goal is to deepen understanding of how AI is being used or might be used by firms, different types of investors, households, and other market participants, as well as to study the broader societal and regulatory implications of the rapid deployment of these technologies. To be considered, submitted papers must be explicitly about the use or potential use of AI technologies by market participants, broadly construed. We encourage the submission of research papers on the following and related topics:
- Uses of AI by firms in corporate finance and their implications for corporate policies: capital allocation, innovation, product and/or service development, risk management, financial management, forecasting, production processes, marketing and sales, supply-chain management.
- AI use in trading and asset management: use by different market participants (e.g., by hedge funds, mutual funds, PE/VC), and different asset classes, and their implications for market equilibrium.
- AI use by banks and other credit providers: credit, wealth management, fraud detection, customer targeting, trading, risk management and hedging.
- AI use in other financial forecasting: by management, analysts, market participants, financial market regulators, or other market participants.
- AI use for understanding consumer financial behavior and decision-making: marketing in retail financial services, modelling complex consumer decisions, and the (good and bad) implications of the use of such technologies in these settings.
- AI and labor replacement vs. augmentation: studies of settings and occupations where AI tools have been significantly deployed for labor augmentation/replacement specifically for applications in finance as well as the impacts of such shifts on firms’ operations and performance.
- Financial market and macroeconomic implications of AI use by industry participants: implications for prices, volumes, market volatility, crashes, market design, growth, risks, competitive dynamics, entry and exit of market participants.
- AI, financial stability, and disparities: studies of the potential risks to financial stability posed by AI use by market participants, model instability and model risks, biases, discrimination, and disparities.
- Frictions and market failures in AI adoption/use and regulatory solutions.
We will announce the selected papers in March. PhD students are welcome to submit. Early-stage work is encouraged. Please share the call for papers with your colleagues and PhD students interested in the area. The meals will be provided; however, the presenters and participants are expected to fund their own travel and accommodation expenses. If you have questions, please email Tania.Babina@gmail.com. To learn more about the conference, please visit its website:
https://sites.google.com/view/ai-finance-conference-2025
Program Chairs: Tania Babina (Maryland; TaniaBabina.com) and Ansgar Walther (Imperial College; https://profiles.imperial.ac.uk/a.walther).
Program Committee:
Simona Abis (Colorado), Tobias Berg (Goethe University Frankfurt), Maxim Bonelli (LBS), Svetlana Bryzgalova (LBS), Greg Buchak (Stanford), Leland Bybee (Chicago), Lauren Cohen (Harvard), William Cong (Cornell), Andrea L. Eisfeldt (UCLA), Maryam Farboodi (MIT), Anastassia Fedyk (Berkley), Thierry Foucault (HEC), Anthony de Fusco (Wisconsin), Arpit Gupta (NYU), Diego Garcia (Colorado), Paul Goldsmith-Pinkham (Yale), Itay Goldstein (Wharton), Alex He (Maryland), Gerard Hoberg (UCS), Jing Huang (Texas A&M), Erica Jiang (USC), Wei Jiang (Emory), Ali Kakhbod (Berkeley), Serhiy Kozak (Maryland), Josh Lerner (Harvard), Harry Mamaysky (Columbia), Roxana Mihet (HEC Lausanne), Dmitriy Muravyev (Illinois), Toby Moskowitz (Yale), Scott Nelson (Chicago), Shumiao Ouyang (Oxford), Gordon Phillips (Dartmouth), Ludo Phalippou (Oxford), Tomasz Piskorski (Columbia), Tarun Ramadorai (Imperial), Alberto Rossi (Georgetown), Gregor Schubert (UCLA), Lea Stern (University of Washington), Huan Tang (Wharton), Xavier Vives (IESE), Baozhong Yang (Georgia State), Ben Zhang (USC)
Following a successful inaugural conference on AI in Finance in 2024 (https://sites.google.com/view/ai-finance-conference), we are excited to host our next AI in Finance conference on June 10, 2025, at the University of Maryland's Smith School of Business. Submit a paper by February 1, 2025 here:
https://sites.google.com/view/ai-finance-conference-2025/paper-submission
We invite the submission of empirical, theoretical, or experimental papers that study the opportunities and risks of AI technologies in Finance. Our goal is to deepen understanding of how AI is being used or might be used by firms, different types of investors, households, and other market participants, as well as to study the broader societal and regulatory implications of the rapid deployment of these technologies. To be considered, submitted papers must be explicitly about the use or potential use of AI technologies by market participants, broadly construed. We encourage the submission of research papers on the following and related topics:
- Uses of AI by firms in corporate finance and their implications for corporate policies: capital allocation, innovation, product and/or service development, risk management, financial management, forecasting, production processes, marketing and sales, supply-chain management.
- AI use in trading and asset management: use by different market participants (e.g., by hedge funds, mutual funds, PE/VC), and different asset classes, and their implications for market equilibrium.
- AI use by banks and other credit providers: credit, wealth management, fraud detection, customer targeting, trading, risk management and hedging.
- AI use in other financial forecasting: by management, analysts, market participants, financial market regulators, or other market participants.
- AI use for understanding consumer financial behavior and decision-making: marketing in retail financial services, modelling complex consumer decisions, and the (good and bad) implications of the use of such technologies in these settings.
- AI and labor replacement vs. augmentation: studies of settings and occupations where AI tools have been significantly deployed for labor augmentation/replacement specifically for applications in finance as well as the impacts of such shifts on firms’ operations and performance.
- Financial market and macroeconomic implications of AI use by industry participants: implications for prices, volumes, market volatility, crashes, market design, growth, risks, competitive dynamics, entry and exit of market participants.
- AI, financial stability, and disparities: studies of the potential risks to financial stability posed by AI use by market participants, model instability and model risks, biases, discrimination, and disparities.
- Frictions and market failures in AI adoption/use and regulatory solutions.
We will announce the selected papers in March. PhD students are welcome to submit. Early-stage work is encouraged. Please share the call for papers with your colleagues and PhD students interested in the area. The meals will be provided; however, the presenters and participants are expected to fund their own travel and accommodation expenses. If you have questions, please email Tania.Babina@gmail.com. To learn more about the conference, please visit its website:
https://sites.google.com/view/ai-finance-conference-2025
Program Chairs: Tania Babina (Maryland; TaniaBabina.com) and Ansgar Walther (Imperial College; https://profiles.imperial.ac.uk/a.walther).
Program Committee:
Simona Abis (Colorado), Tobias Berg (Goethe University Frankfurt), Maxim Bonelli (LBS), Svetlana Bryzgalova (LBS), Greg Buchak (Stanford), Leland Bybee (Chicago), Lauren Cohen (Harvard), William Cong (Cornell), Andrea L. Eisfeldt (UCLA), Maryam Farboodi (MIT), Anastassia Fedyk (Berkley), Thierry Foucault (HEC), Anthony de Fusco (Wisconsin), Arpit Gupta (NYU), Diego Garcia (Colorado), Paul Goldsmith-Pinkham (Yale), Itay Goldstein (Wharton), Alex He (Maryland), Gerard Hoberg (UCS), Jing Huang (Texas A&M), Erica Jiang (USC), Wei Jiang (Emory), Ali Kakhbod (Berkeley), Serhiy Kozak (Maryland), Josh Lerner (Harvard), Harry Mamaysky (Columbia), Roxana Mihet (HEC Lausanne), Dmitriy Muravyev (Illinois), Toby Moskowitz (Yale), Scott Nelson (Chicago), Shumiao Ouyang (Oxford), Gordon Phillips (Dartmouth), Ludo Phalippou (Oxford), Tomasz Piskorski (Columbia), Tarun Ramadorai (Imperial), Alberto Rossi (Georgetown), Gregor Schubert (UCLA), Lea Stern (University of Washington), Huan Tang (Wharton), Xavier Vives (IESE), Baozhong Yang (Georgia State), Ben Zhang (USC)