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Computational Intelligence Paradigms in Economic and Financial Decision Making / / by Marina Resta
Computational Intelligence Paradigms in Economic and Financial Decision Making / / by Marina Resta
Autore Resta Marina
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (183 p.)
Disciplina 620
Collana Intelligent Systems Reference Library
Soggetto topico Computational intelligence
Artificial intelligence
Operations research
Decision making
Computational Intelligence
Artificial Intelligence
Operations Research/Decision Theory
ISBN 3-319-21440-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface; Contents; List of Figures; List of Tables; Part I Theoretical Framework ; 1 Yet Another Introduction to Self-Organizing Maps; 1.1 Background; 1.2 The Basic Algorithm; 1.3 Stopping Criteria and Convergence Measures; 1.4 Output Visualization; 1.5 SOM Variants; 1.5.1 SOM Batch; 1.5.2 Topological Structures in SOMs; 1.5.3 Neural Gas and Growing Neural Gas; 1.5.4 Topology Representing Networks; 1.5.5 Self-Organizing Surface; 1.5.6 Evolving Self-Organizing Map; 1.5.7 Growing Hierarchical SOM; 1.6 Putting SOM at Work; 2 Networks Analysis and Beyond; 2.1 Introduction; 2.2 Classical Networks
2.3 Lattice Network2.4 Scale-Free Networks; 2.4.1 Degree Distribution; 2.4.2 Power-Law Distribution in Real-World Networks; 2.4.3 Barabasi--Albert Model; 2.5 The Configuration Model; 2.6 Small-World Networks; 2.7 Measuring the Robustness of Networks; 2.7.1 Average Shortest Path Length; 2.7.2 Clustering Coefficients; 2.7.3 Hierarchical Modularity; 2.7.4 Assortativity; 2.7.5 Degree Correlation; 2.8 Centrality Measures; 3 Elastic Maps; 3.1 Introduction; 3.2 A Formal Description; 3.3 How Elastic Maps Work; 3.4 Available Algorithm Implementations; Part II Applications
4 SOM Variants for the Simulation of Market Price Modeling4.1 Introduction; 4.2 Voronoi Maps; 4.3 An Application to Financial Markets: Main Settings; 4.4 Experimental Results; 4.5 Conclusions and Outlooks for Future Works; 5 Elastic Maps to Define the Risk Profile of Financial Investments; 5.1 Introduction; 5.1.1 Strategic Asset Allocation; 5.1.2 Tactical Asset Allocation; 5.1.3 Stock Picking; 5.2 Portfolio Selection Within the Markowitz Framework; 5.3 Case Study: The General Framework; 5.4 Stocks Picking with Elastic Maps; 5.4.1 Maps Visualization
5.4.2 Building Securities Portfolios with Elastic Maps5.5 Selection with Fundamental Analysis; 5.5.1 Data and Preprocessing; 5.5.2 The Formation of the Portfolio; 5.6 Comparison Between the Methods; 5.7 Conclusion; 6 Hubs and Communities of Financial Assets with Enhanced Self-Organizing Maps; 6.1 Introduction; 6.2 Value at Risk: An Introductory Guide; 6.3 Algorithmic Settings; 6.3.1 Self-Organizing Maps; 6.3.2 The VaRSOM; 6.4 Discussion Case; 6.5 Conclusion; 7 Financial Landscapes of Health Care Providers; 7.1 Introduction
8.2.2 The Lee--Carter Model
Record Nr. UNINA-9910254238103321
Resta Marina  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Methods for Risk Management in Economics and Finance
Computational Methods for Risk Management in Economics and Finance
Autore Resta Marina
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (234 p.)
Soggetto non controllato admissible convex risk measures
auto-regressive
Big Data
capital allocation
capital market pricing model
cartography
conditional Value-at-Risk (CoVaR)
convex programming
copula models
CoVaR
credit risk
current drawdown
data science
deep learning
efficient frontier
estimation error
financial markets
financial mathematics
financial regulation
fractional Kelly allocation
growth optimal portfolio
independence assumption
International Financial Reporting Standard 9
loss given default
Markowitz portfolio theory
multi-step ahead forecasts
non-stationarity
ordered probit
portfolio theory
quantile regression
quantitative risk management
random matrices
risk measure
risk-based portfolios
shrinkage
stock prices
structural models
systemic risk
systemic risk measures
target matrix
utility functions
value at risk
weighted logistic regression
Wishart model
ISBN 3-03928-499-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910404091803321
Resta Marina  
MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui