Call for papers

Since 1995, the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics (CIFEr) has been a leading forum for research and applications of Computational Intelligence in Business, Finance and Economics. The event brings together a global community of researchers and practitioners with a particular emphasis on fostering cross disciplinary collaboration. Technical exchanges will encompass keynote talks, research presentations and tutorials. Networking will be facilitated by social functions and activities at the venue.

Topics of Interest
(Submission topics include but are not limited to):

Computational Intelligence Areas, Models and Applications:

  • Machine Learning in Finance
  • Big Data Finance and Economics
  • Neural Networks
  • Deep Learning Models in Finance
  • Data Mining
  • Probabilistic Modeling/Inference
  • Fuzzy Sets, Rough Sets, & Granular Computing
  • Intelligent Trading Agents
  • Trading Room Simulation
  • Time Series Analysis
  • Non-linear Dynamics
  • Financial Analytics
  • Financial Data Mining
  • Evolutionary Computation
  • Digital Financial Reporting
  • Semantic Web and Linked Data
  • Multi-objective Optimisation
  • Agent Based Modelling and Simulation
  • Co-evolutionary Techniques
  • Artificial Life
  • Evolutionary Game Theory
  • Particle Swarm Optimisation
  • Cognitive Systems
  • Modelling and Problem Representations
  • Operators

Application Areas: Finance:

  • Asset allocation strategies
  • Trading systems
  • Algorithmic trading
  • Trade execution systems
  • Risk management
  • Pricing of structured securities
  • Behavioural finance
  • Evolutionary finance
  • Portfolio optimisation
  • Arbitrage
  • Exotic options
  • Cryptocurrencies
  • Blockchain and applications
  • Front and back office operations
  • Financial prediction and forecasting

Application Areas: Economics:

  • Agent based computational economics
  • Market modelling
  • Energy and electricity markets
  • Blockchain economics

Application Areas: Business:

  • Business analytics
  • Recommender systems
  • E-commerce
  • Advertising and marketing
  • Crowds and market models
  • Demand forecasting
  • Distribution and supply chain