International Conference on Computational Intelligence in Economics ICCIE on May 17-18, 2023 in Paris, France
Submit Your Paper
- Short Name: ICCIE
- Event Type: Conference
- Website URL: https://waset.org/computational-intelligence-in-economics-conference-in-may-2023-in-paris
- Program URL: https://waset.org/conferences-in-may-2023-in-paris/program
- Contact URL: https://waset.org
- Location: Paris, France
- Date: May 17-18, 2023
- Final Submission: April 16, 2023
- Notification: February 27, 2022
- Organization: World Academy of Science, Engineering and Technology
- Conference Tags: economics computational intelligence computational economics
Computational Intelligence in Finance and Economics
Financial Engineering and Economics Applications
Agent-Based Computational Economics
Asset Pricing
Business Analytics
Algorithmic Trading
Electricity/Energy Markets
Big Data Finance and Economics
Machine Learning for Financial Analysis and Forecasting
Financial Data Mining
Financial Engineering
Financial Time Series Forecasting and Analysis
Economic and Financial Decision Making under Uncertainty
Artificial Immune Systems
Portfolio Management and Optimization
Market Simulation
Risk Management
Credit Risk Modelling
Commodity Markets
Pricing and Valuation
Term Structure Models
Trading Strategies
Pricing of Structured Securities
Asset Allocation
Trading Systems
Hedging Strategies
Risk Arbitrage
Sentiment Analysis and Behavioral Finance
Low Frequency / High Severity Event Modelling
Plasticity of Artificial Systems in Economics and Finance
Exotic Options
Computational intelligence techniques considered include (but not limited to):
Deep Learning and Artificial Neural Networks
Evolutionary Computation
Fuzzy Sets, Rough Sets, and Granular Computing
Financial Data Mining
Hybrid Systems
Metaheuristics
Support Vector Machines
Swarm Intelligence
Probabilistic Modeling/Inference
Intelligent Trading Agents
Trading Room Simulation
Time Series Analysis
Non-linear Dynamics
Rules and XBRL for Financial Engineering Applications
Semantic Web and Linked Data for Computer and Engineering Applications and Models
Financial Engineering and Economics Applications
Agent-Based Computational Economics
Asset Pricing
Business Analytics
Algorithmic Trading
Electricity/Energy Markets
Big Data Finance and Economics
Machine Learning for Financial Analysis and Forecasting
Financial Data Mining
Financial Engineering
Financial Time Series Forecasting and Analysis
Economic and Financial Decision Making under Uncertainty
Artificial Immune Systems
Portfolio Management and Optimization
Market Simulation
Risk Management
Credit Risk Modelling
Commodity Markets
Pricing and Valuation
Term Structure Models
Trading Strategies
Pricing of Structured Securities
Asset Allocation
Trading Systems
Hedging Strategies
Risk Arbitrage
Sentiment Analysis and Behavioral Finance
Low Frequency / High Severity Event Modelling
Plasticity of Artificial Systems in Economics and Finance
Exotic Options
Computational intelligence techniques considered include (but not limited to):
Deep Learning and Artificial Neural Networks
Evolutionary Computation
Fuzzy Sets, Rough Sets, and Granular Computing
Financial Data Mining
Hybrid Systems
Metaheuristics
Support Vector Machines
Swarm Intelligence
Probabilistic Modeling/Inference
Intelligent Trading Agents
Trading Room Simulation
Time Series Analysis
Non-linear Dynamics
Rules and XBRL for Financial Engineering Applications
Semantic Web and Linked Data for Computer and Engineering Applications and Models
Name: World Academy of Science, Engineering and Technology
Website: https://waset.org/
Address: UAE