Computational Intelligence in Economics and Finance edited by Paul P. Wang.

Due to the ability to handle specific characteristics of economics and finance forecasting problems like e.g. non-linear relationships, behavioral changes, or knowledge-based domain segmentation, we have recently witnessed a phenomenal growth of the application of computational intelligence methodol...

Full description

Saved in:
Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Wang, Paul P. (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2004.
Edition:1st ed. 2004.
Series:Advanced Information Processing
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.

MARC

LEADER 00000nam a22000005i 4500
001 b3242785
003 MWH
005 20191028012323.0
007 cr nn 008mamaa
008 130217s2004 gw | s |||| 0|eng d
020 |a 9783662063736 
024 7 |a 10.1007/978-3-662-06373-6  |2 doi 
035 |a (DE-He213)978-3-662-06373-6 
050 4 |a E-Book 
072 7 |a KCH  |2 bicssc 
072 7 |a BUS021000  |2 bisacsh 
072 7 |a KCH  |2 thema 
245 1 0 |a Computational Intelligence in Economics and Finance  |h [electronic resource] /  |c edited by Paul P. Wang. 
250 |a 1st ed. 2004. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2004. 
300 |a XXII, 480 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Advanced Information Processing 
490 1 |a Springer eBook Collection 
505 0 |a 1. Computational Intelligence in Economics and Finance -- 2. Intelligent System to Support Judgmental Business Forecasting: the Case of Estimating Hotel Room Demand -- 3. Fuzzy Investment Analysis Using Capital Budgeting and Dynamic Programming Techniques -- 4. Rough Sets Theory and Multivariate Data Analysis in Classification Problems: a Simulation Study -- 5. Forecasting the Opening Cash Price Index in Integrating Grey Forecasting and Neural Networks: Evidence from the SGX-DT MSCI Taiwan Index Futures Contracts -- 6. A Support Vector Machine Model for Currency Crises Discrimination -- 7. Saliency Analysis of Support Vector Machines for Feature Selection in Financial Time Series Forecasting -- 8. Searching Financial Patterns with Self-organizing Maps -- 9. Effective Position of European Firms in the Face of Monetary Integration Using Kohonen’s SOFM -- 10. Financial Applications of Wavelets and Self-organizing Maps -- 11. Pattern Matching in Multidimensional Time Series -- 12. Structural Pattern Discovery in Time Series Databases -- 13. Are Efficient Markets Really Efficient?: Can Financial Econometric Tests Convince Machine-Learning People? -- 14. Nearest-Neighbour Predictions in Foreign Exchange Markets -- 15. Discovering Hidden Patterns with Genetic Programming -- 16. Numerical Solutions to a Stochastic Growth Model Based on the Evolution of a Radial Basis Network -- 17. Evolutionary Strategies vs. Neural Networks: an Inflation Forecasting Experiment -- 18. Business Failure Prediction Using Modified Ants Algorithm -- 19. Towards Automated Optimal Equity Portfolios Discovery in a Financial Knowledge Management System -- 20. White Noise Tests and Synthesis of APT Economic Factors Using TFA -- 21. Learning and Monetary Policy in a Spectral Analysis Representation -- 22. International Transmission of Business Cycles: a Self-organizing Markov-Switching State-Space Model -- 23. How Information Technology Creates Business Value in the Past and in the Current Electronic Commerce (EC) Era -- Author Index. 
520 |a Due to the ability to handle specific characteristics of economics and finance forecasting problems like e.g. non-linear relationships, behavioral changes, or knowledge-based domain segmentation, we have recently witnessed a phenomenal growth of the application of computational intelligence methodologies in this field. In this volume, Chen and Wang collected not just works on traditional computational intelligence approaches like fuzzy logic, neural networks, and genetic algorithms, but also examples for more recent technologies like e.g. rough sets, support vector machines, wavelets, or ant algorithms. After an introductory chapter with a structural description of all the methodologies, the subsequent parts describe novel applications of these to typical economics and finance problems like business forecasting, currency crisis discrimination, foreign exchange markets, or stock markets behavior. 
590 |a Loaded electronically. 
590 |a Electronic access restricted to members of the Holy Cross Community. 
650 0 |a Econometrics. 
650 0 |a Artificial intelligence. 
650 0 |a Finance. 
650 0 |a Mathematical statistics. 
650 0 |a Application software. 
650 0 |a Game theory. 
690 |a Electronic resources (E-books) 
700 1 |a Wang, Paul P.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
830 0 |a Advanced Information Processing 
830 0 |a Springer eBook Collection. 
856 4 0 |u https://holycross.idm.oclc.org/login?auth=cas&url=https://doi.org/10.1007/978-3-662-06373-6  |3 Click to view e-book  |t 0 
907 |a .b32427852  |b 04-18-22  |c 02-26-20 
998 |a he  |b 02-26-20  |c m  |d @   |e -  |f eng  |g gw   |h 0  |i 1 
912 |a ZDB-2-SCS 
912 |a ZDB-2-BAE 
950 |a Computer Science (Springer-11645) 
902 |a springer purchased ebooks 
903 |a SEB-COLL 
945 |f  - -   |g 1  |h 0  |j  - -   |k  - -   |l he   |o -  |p $0.00  |q -  |r -  |s b   |t 38  |u 0  |v 0  |w 0  |x 0  |y .i21559508  |z 02-26-20 
999 f f |i 835dee84-68e0-524b-8ea3-441b8fc0fa7f  |s ea7d41d5-5e27-5031-acc7-1d67180fc238  |t 0 
952 f f |p Online  |a College of the Holy Cross  |b Main Campus  |c E-Resources  |d Online  |t 0  |e E-Book  |h Library of Congress classification  |i Elec File