Financial engineering is a multidisciplinary research area that draws from a wide range of quantitative analysis disciplines (e.g. statistics, data mining, machine learning, artificial intelligence, neurocomputing, fuzzy and genetic methods, etc.) to optimize and facilitate various kinds of financial decisions related to, e.g. risk and investment management, financial planning, trading, hedging, pricing and asset valuation, and fraud detection. Undoubtedly, the introduction of several recent international financial and accounting standards (such as Basel II, Sarbanes-Oxley, IFRS) is having a significant impact on this field. For example, by allowing banks and financial institutions to use their internal risk assessment models as inputs to the minimum regulatory capital calculations, the Basel II framework is providing financial institutions with additional incentives to develop new or further refine existing financial engineering models. Hence, there has been a growing interest throughout the financial world in research on techniques to support the implementation of these guidelines.

This special session aims at promoting the exchange of ideas not only concepts and operational basis for artificial intelligent (AI) but also techniques for implementing and evaluating information systems on economic and financial domain, forecasting, and analysis. Submissions that derive theories of AI modeling, construct AI model and apply it to financial market, develop techniques for linking AI model and other types of models are all welcome. Hence, this session invites papers that apply AI or other computational intelligence methodologies to the following topics, but never exclusive:

Topics

Application Areas
 Artificial Stock Markets
 Behavioral Finance
 Experimental Economics
 Financial Engineering
 Financial Data Mining
 Trading Strategies
 Hedging Strategies
 Portfolio Management
 Derivative Pricing
 Financial Time Series Forecasting and Analysis

Techniques
 Ant Algorithms
 Artificial Neural Networks
 Bio-Inspired Computing
 Cluster Analysis
 Data Mining
 Deep Learning
 Evolutionary Programming
 Fuzzy Logic
 Genetic Algorithms
 Genetic Programming
 Grey Models
 Hybrid Models and Systems
 Learning Classifier Systems
 Reinforcement Learning
 Rough Sets
 Self-Organized Map
 Sequential Monte Carlo Methods
 Statistical Classifiers
 Swarm Intelligence
 Wavelets

Important dates
Full paper submission due: 2017.08.15 (EXTEND)
Paper acceptance notification date: 2017.08.27
Final (Camera-ready) paper submission due: 2017.09.24

Submission (Please choose the following special session through the online system)
CIDM8: Special Session: Computational Intelligence and Financial Engineering: Now and Future

Professor Mu-Yen Chen, Department of Information Management,
National Taichung University of Science and Technology, Taiwan,
E-mail: mychen.academy@gmail.com