Portfolio Management with Heuristic Optimization: Advances in Computational Management Science, cartea 8
Autor Dietmar G. Maringeren Limba Engleză Hardback – 12 dec 2005
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Specificații
ISBN-13: 9780387258522
ISBN-10: 0387258523
Pagini: 223
Ilustrații: XIV, 223 p.
Dimensiuni: 155 x 232 x 14 mm
Greutate: 0.51 kg
Ediția:2005
Editura: Springer Us
Colecția Springer
Seria Advances in Computational Management Science
Locul publicării:New York, NY, United States
ISBN-10: 0387258523
Pagini: 223
Ilustrații: XIV, 223 p.
Dimensiuni: 155 x 232 x 14 mm
Greutate: 0.51 kg
Ediția:2005
Editura: Springer Us
Colecția Springer
Seria Advances in Computational Management Science
Locul publicării:New York, NY, United States
Public țintă
ResearchCuprins
Portfolio Management.- Heuristic Optimization.- Transaction Costs and Integer Constraints.- Diversification in Small Portfolios.- Cardinality Constraints for Markowitz Efficient Lines.- The Hidden Risk of Value at Risk.- Finding Relevant Risk Factors in Asset Pricing.- Concluding Remarks.
Notă biografică
PD Dr. Dietmar Maringer
University of Erfurt - Germany
Education:
1993: Business Administration and Computer Science at the Technical University of Vienna and at the University of Vienna
1997: PhD., University of Vienna
1997: M.Phil. at the University of Cambridge, UK
Positions:
till 2002: Assistant at the Centre for Business Studies, University of Vienna
since Nov. 2002: Assistant Professor at the University of Erfurt
Research interests: Finance, Financial Econometrics, Computational Economics and Computational Finance
Heuristic Optimisation
University of Erfurt - Germany
Education:
1993: Business Administration and Computer Science at the Technical University of Vienna and at the University of Vienna
1997: PhD., University of Vienna
1997: M.Phil. at the University of Cambridge, UK
Positions:
till 2002: Assistant at the Centre for Business Studies, University of Vienna
since Nov. 2002: Assistant Professor at the University of Erfurt
Research interests: Finance, Financial Econometrics, Computational Economics and Computational Finance
Heuristic Optimisation
Caracteristici
Discusses demanding problems often faced in practice and presents solution approaches Combines theoretical and general presentation of Heuristic Optimization with practical applications to financial problems and demonstrates with empirical studies how these methods work and what new financial insight can be gained Includes supplementary material: sn.pub/extras