Computational Intelligence Paradigms in Economic and Financial Decision Making

The book focuses on a set of cutting-edge research techniques, highlighting the potential of soft computing tools in the analysis of economic and financial phenomena and in providing support for the decision-making process. In the first part the textbook presents a comprehensive and self-contained introduction to the field of self-organizing maps, elastic maps and social network analysis tools and provides necessary background material on the topic, including a discussion of more recent developments in the field. In the second part the focus is on practical applications, with particular attention paid to budgeting problems, market simulations, and decision-making processes, and on how such problems can be effectively managed by developing proper methods to automatically detect certain patterns. The book offers a valuable resource for both students and practitioners with an introductory-level college math background.

Provides an overview on how to use soft computing methods as economic and financial decision making tools Focuses on statistical machine learning, agent-based simulation and social networks analysis techniques and connected applications Each chapter includes both explanatory and practical applications with references Includes supplementary material: sn.pub/extras

Inhalt
Yet another introduction to SelfOrganizing Maps.- Networks analysis and beyond.- Elastic Maps.- SOM variants for the simulation of market price modeling.- Elastic Maps to dene the risk prole of nancial investments.- Hubs and communities of nancial assets with enhanced Self Organizing Maps.- Financial landscapes of health care providers.- Using SOM for mortality projection.