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  • Call for papers: AI & Machine Learning in Finance
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Call for papers: AI & Machine Learning in Finance

feb. 22, 2022

Conference at the Swedish House of Finance in Stockholm on 22-23 August 2022

The application deadline has passed.

Call for papers

The conference will consist of one day with academic keynote speakers and an industry panel, and a second day with eight academic papers.

We invite authors to submit high-quality research on financial and economic issues relating to Machine Learning and AI in finance, including (but not limited to) such topics as:

  • Human + Machine interactions (e.g., analysts, portfolio managers)
  • Asset price forecasting models
  • Algorithmic/High frequency trading
  • Portfolio construction and analysis
  • Cyber risks and cybersecurity
  • Behavioral economics and AI
  • New Data (structured and unstructured datasets)
  • Crowdsourcing and dynamic investment strategies
  • Big Data
  • Credit risk evaluation and lending
  • Payment systems
  • Financial fraud detection

Both empirical and theoretical papers are welcome. The conference organizers will provide accommodation as well as reimbursement for reasonable travel expenses for presenting authors and discussants.

Covid-19:

We are aiming for a primarily in-person meeting. Should the COVID-19 situation deteriorate, we are prepared to host the conference fully online or with speakers, discussants and session chairs in particular attending on site and giving other participants the option to attend remotely, doing our best to provide them with an interactive experience.

About SHoF:

The Swedish House of Finance at the Stockholm School of Economics is Sweden’s national research center for financial economics. It hosts internationally distinguished researchers and enables financial research and development of the highest quality.

Paper submission deadline 31 March 2022, 23:59 PTS

Submissions are no longer accepted because the deadline has passed.

Sign up for the conference here

Join us on 22-23 August 2022. 

The program includes keynote addresses from:

  • Bryan Kelly, Yale University and AQR Capital Management

  • Stefan Nagel, University of Chicago

  • Tarun Ramadorai, Imperial College

  • Thierry Foucault, HEC

Read more

Organizing committee

Alexander Ljungqvist, Riccardo Sabbatucci and Ye Zhang, Stockholm School of Economics

 

For more information:

Riccardo.Sabbatucci@hhs.se
Ye.Zhang@hhs.se

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Swedish House of Finance

Bertil Ohlins gata 4, 113 50 Stockholm

info@houseoffinance.se +46 8 736 91 00
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