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IISA | MLAM: Machine Learning in Asset Management
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20 February
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MLAM: Machine Learning in Asset Management

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The complex and volatile information in the market, which is oftenly vague, affects academicians and practitioners on their financial decisions. Chartists and fundamentalists analysts compete to make the higher profit possible under highly sophisticated financial models. Machine Learning is able to provide new potentials into optimal Asset Management taking into considerations the new trends in the domains of Artificial Intelligence, Heuristics, Evolutionary Computation, Computational Intelligence, as well as the new potentials in Portfolio Selection, Asset Allocation, Risk Management, and Behavioral Finance support new patterns of possible optimisation.

Background and Goals

The complex and volatile information in the market, which is oftenly vague, affects academicians and practitioners on their financial decisions. Chartists and fundamentalists analysts compete to make the higher profit possible under highly sophisticated financial models. Machine Learning is able to provide new potentials into optimal Asset Management taking into considerations the new trends in the domains of Artificial Intelligence, Heuristics, Evolutionary Computation, Computational Intelligence, as well as the new potentials in Portfolio Selection, Asset Allocation, Risk Management, and Behavioral Finance support new patterns of possible optimisation.

Topics of Interests

Scope of the Special Session:

 

  1. Deep Learning
  2. Machine Learning
  3. Artificial Intelligence
  4. Heuristics
  5. Evolutionary Computation
  6. Computational Intelligence
  7. Hybrid Systems
  8. Portfolio Selection
  9. Optimal Portfolio Management
  10. Asset Allocation
  11. Risk Management
  12. Behavioral Finance
Call for Papers
Important Dates

General Conference Important Dates

Workshop | Special Session | Tutorial Proposals: March 05, 2018

Paper Submission: April 16, 2018

Author Notification: May 14, 2018

Camera-Ready: June 11, 2018

Chairs

Dr. Nikolaos Loukeris

 

Lecturer University of South Wales

Department of Business Administration

CF37 1DL, Pontypridd, Wales, UK

Program Committee

Bekiros S., European University Institute, Athens University of Economics and Business

Boutalis Y., Demokritus University of Thrace

Eleftheriadis I. University of Macedonia

Livanis S. University of Macedonia

Instructions for Authors