There is a growing academic interest on using fuzzy set approach and fuzzy logic framework for economic and financial problems. Since most of the economic phenomenon are subject to uncertainty and human error, fuzziness is an unavoidable nature of business life. Forecasting, asset management, investment appraisal, risk assessment and many other business problems are investigated in the literature, and there is still a gap between the theory of economics (also finance) and the power of engineering. Fuzzy logic approach is capable of handling various practical problems while it requires to be supported with the theoretical basis of fundamental economics. A special session titled "Fuzzy Logic for Economics and Finance" would be timely and contributing as well as attractive for scholars in the field. Proper use of fuzzy set theory and methods for merging economic theory and fuzzy logic are some emerging topics in the engineering research. Therefore, we expect a particular volume of papers contributing to the session. Papers dealing with inconsistency between the theory of economics/finance and fuzzy aided engineering applications are particularly welcomed.
- Fuzzy Time Series Analysis
- Financial Data Mining
- Risk Management
- Pricing of Structured Securities
- Asset Allocation
- Trading Systems
- Hedging Strategies
- Behavioral Finance
- Portfolio Optimization
- Algorithmic Trading
- Agent-based Computational Economics
- Testing, Benchmarking, Robustness Checks
- Intelligent Trading Agents
DeadlineThe deadline for submissions to this special session is 08 February 2014.
Information for AuthorsInformation on the format and templates for papers can be found on the conference website below:
Session ChairsOkan Duru
IMARC, Kobe University, Kobe 658-0022 Japan
Department of Ship and Marine Technology,
Izmir Katip Celebi University, Cigli 35620, Izmir, Turkey
Emrah Bulut, Ph.D.
Department of Business Administration, Yildiz Technical University,
34349, Istanbul, Turkey.