The focus is on the application of soft computing to a new emerging discipline called financial engineering. Financial engineering can be seen as a field emerging out of an attempt to address the issues of concern in finance with the tools and perspectives of engineering, especially electrical and systems engineering. The ability to measure almost all financial variables in quantifiable terms, the strong emphasis on optimization, and the centrality of time dependency provide for a strong overlap of those disciplines. This all provides a synergistic effect, and makes it possible to more effectively and efficiently deal with a variety of problems related to broadly perceived financial analyses.
Preface.- Introductory Sections: Imprecise Data, And Decision Making
Under Fuzziness: M. Mares, R. Mesiar: Vagueness of Verbal Variables; R.R.
Yager, M.T. Lamata: Decision Making Under Uncertainty with Nonnumeric
Payoffs; S. Greco: Fuzzy Measures and Equilibrium Conditions on the Financial
Market; M. Mares: Sharing Vague Profit in Fuzzy Cooperation.- Time Series
Analyses and Prediction: S. Giove, P. Pellizzari: Time Series Filtering and
Reconstruction Using Fuzzy Weighted Local Regression; O. Castillo, P. Melin:
Automated Mathematical Modelling for Financial Time Series Prediction
Combining Fuzzy Logic and Fractal Theory.- P.L. Belcarao, M. Corazza: A
2-Stage Artificial Neural Network Predictor with Application to Financial
Time Series; R. Kozma, N.K. Kasabov: Generic Neuro-Fuzzy-Chaos Methodology
for Time-Series Analysis and Building Intelligent Adaptive Systems; M.
Krawczak: Dynamic Programming and Fuzzy Reinforcement of Backpropagation for
Interest Rate Prediction.- Stock and Currency Markets: H. Tanaka, P. Guo:
Portfolio Selection Based on Possibility Theory; S. Siekman, R. Neuneier,
H.G. Zimmermann, R. Kruse: Neuro-Fuzzy Methods Applied to the German Stock
Index DAX; M.A. Soares Macahado, L.A. Rodrigues Gaspar, A. Araujo de Freitas
Jr., R. Castro Souza: IBOVESPA Neuro-Fuzzy Forecasting: A Case Study in
Brazilian Capital Markets; K.K. Yen, S. Goshray: Application of Fuzzy
Regression Models to Predict Exchange Rates for Composite Currencies; S.
Goshray, K.K. Yen: A Fuzzy Inferencing Approach Towards the Chaotic Nature of
Foreign Currency Interactions; S. Tano: Application of Fuzzy Methodologies to
Financial Fields: FOREX Case Studies and Generalizations.- Corporate
Financial Analyses: S. Benferhat, H. Farreny, H. Prade: Possibilistic
Rule-Based Inference: A Case Study in Financial Analysis; R.A. Ribeiro, F.
Moura-Pires: Financial Analysis of Non-Financial Companies with Neural
Networks; P. Hofmeister: Customer Segmentation with Fuzzy Clustering; N.
Vojdani, M. Bellmann: A Rejects Management Information System by Means of
Fuzzy Logic.- Analyses and Calculation of Risk and Value: H.J. Rommelfanger:
Fuzzy Logic Based Systems for Checking Credit Solvency of Small Business
Firms; R. Weber: Applications of Fuzzy Logic for Creditworthiness Evaluation;
R. Slowonski, C. Zapounodis, A.I. Dimitras, R. Susmaga: Rough Set Predictor
of Business Failure; M.R. Simonelli: Fuzzy Insurance Premium Principles; G.
Gim, Th. Whalen: Second Order Data Mining: Fire Risk Classification in a
Newly-Developed Country; P.P. Bonissone, W. Cheetham, D.C. Golibersuch, P.
Khedkar: Automated Residential Property Valuation: An Accurate and Reliable
Approach Based on Soft Computing.- Auditing and Reporting: S.K. Dutta, R.P.
Srivastava: Theoretical Investigation of Belief Revision in Auditing; E.H.
Feroz, T.M. Kwon: Self-Organizing Fuzzy and MLP Approaches to Detecting
Fraudulent Financial Reporting.
