Call for Papers

The AI in Finance Conference invites submissions of full papers and extended abstracts presenting theoretical or empirical research at the intersection of artificial intelligence, machine learning, and financial economics. Papers employing novel machine learning methods, large-scale financial data, or innovative empirical designs are particularly welcome.

The conference will also feature research proposal sessions for PhD students. These sessions provide an opportunity for doctoral researchers to present early-stage research ideas or dissertation proposals and receive feedback from senior faculty and conference participants.

Important Dates

Submission deadline: May 31, 2026

Notification: by June 30, 2026 

Optional full-paper update deadline: August 30, 2026

Conference dates: October 13–15, 2026

Submission portal: https://www.conftool.net/ai-finance-2026

Submission Types

The conference welcomes three types of submissions:

Full Papers: Authors may submit complete research papers for presentation and discussion in the main conference sessions.

Extended Abstracts or Short Research Paper (Research Ideas Track): To encourage discussion of emerging research ideas, the conference offers short research presentations without a formal discussant. These sessions focus on early-stage work and include interactive Q&A discussions with the audience.

Authors submitting extended abstracts or short research paper may upload an updated full paper by August 30, 2026. If sufficiently developed, the paper may be included in the full paper sessions.

Research Proposal Sessions (PhD Track): Doctoral researchers may submit research proposals or early-stage projects for presentation in a faculty feedback session designed to help refine the research design and support further development into a full paper.

Other Program Participation

Session Chairperson and Discussant - Deadline, 30 August 2026 - Click Here to Apply

Topics of interest 

Topics of interest include (but are not limited to):

• Machine learning and artificial intelligence in asset pricing and financial econometrics

• AI-driven portfolio management, trading strategies, and risk management

• Large language models (LLMs) and natural language processing in finance

• Textual analysis of financial disclosures, news, earnings calls, and regulatory documents

• AI applications in corporate finance, mergers and acquisitions, and financial decision-making

• AI and financial market prediction, return forecasting, and anomaly detection

• AI and financial intermediation, banking, and credit markets

• Generative AI in finance, including portfolio construction and financial analytics

• AI applications in cryptocurrency, digital assets, and decentralized finance

• AI and ESG, sustainability, and climate finance

• AI and financial regulation, policy analysis, and central bank communication

• AI applications in real estate finance, housing markets, and urban economics

• Big financial data, alternative data, and high-dimensional financial datasets

• AI and investor behavior, sentiment, and market attention

• AI-driven forecasting of macroeconomic and financial risks

Special Tracks

AI in Sustainability and Climate Finance
Organized by Dr. Matthäus Tekathen (Concordia University) in collaboration with the Climate Business Institute, this track explores how artificial intelligence can address environmental challenges and support climate innovation.

AI and Real Estate
This track brings together scholars and practitioners to examine how AI is transforming real estate finance and urban economics.

Registration: CAD 650 (approximately EUR 415 / USD 480) 
Late Registration (after September 5th, 2026): CAD 750 (approximately EUR 475 / USD 540) 

Includes:

• Conference sessions
• Meals and coffee breaks
• Social program
• Gala dinner
• Conference materials. 

PhD students presenting in person and all online presenters are eligible for a 50% discount. For additional details and registration options, please see the registration page.