Volatility in financial market has become increasingly important in today's globalized economic and financial world, especially in areas such as investment, risk management, option pricing and financial market regulation. Forecasting volatility attracts great attentions of academicians and practitioners over the last two decades. For example, risk managers should measure market risk exposure of portfolio's asset position, financial institutions should optimize capital reserve of value-at-risk, option holders need to know the volatility of the underlying asset from the present to the expiration of the option, foreign exchange traders pre-estimate volatility of exchange rate for arbitrage, and so on and so forth. The computational intelligence has been intensively applied to improve the quality of the economical/financial decisions. The focus of this special session is not merely to illustrate the superior performance of new computational methods, but also to demonstrate how it can be used effectively in forecasting volatilities to improve and facilitate decision making. Hence, submissions which address the use of models of computational intelligence (e.g. Artificial Neural Networks, Genetic Algorithm, Particle Swarm Optimization, Fuzzy Logics, etc.) to develop intelligent and/or comprehensible economical/financial information systems are all welcome. Relevant topics include, but not limited to:
- Individual Asset or Portfolio Value at Risk.
- Credit Risk Management.
- Volatility of Derivative Pricing.
- Foreign Exchange Volatility and Arbitrage.
- Co-movement across International Financial Markets.
- Asset Prices and Monetary Policy
- Security Valuation.
IMPORTANT DATES
Paper due: April 1, 2005
Notification of acceptance: April 15, 2005
Camera-ready paper due: April 25, 2005
PAPER SUBMISSION
All papers must be in Word or PDF format and may not exceed 4 pages in length, including figures, tables and references. Details can be found at
http://www.jcis.org/pages/call4paper.aspx. Please send your electronic version of paper (MS-Word or PDF format) to the session organizer Professor Ping-Chen Lin (email:
lety@cc.kuas.edu.tw).
Session Chair
Prof. Ping-Chen Lin
Institute of Finance and Information
National Kaohsiung University of Applied Sciences
Kaohsiung, Taiwan
Tel: 886-7-38145263 ext 6309
email:
lety@cc.kuas.edu.tw