Overview
- 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
Part of the book series: Advances in Computational Management Science (AICM, volume 8)
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Table of contents (8 chapters)
Keywords
About this book
Authors and Affiliations
About the author
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
Bibliographic Information
Book Title: Portfolio Management with Heuristic Optimization
Authors: Dietmar Maringer
Series Title: Advances in Computational Management Science
DOI: https://doi.org/10.1007/b136219
Publisher: Springer New York, NY
eBook Packages: Business and Economics, Economics and Finance (R0)
Copyright Information: Springer-Verlag US 2005
Hardcover ISBN: 978-0-387-25852-2Published: 12 December 2005
Softcover ISBN: 978-1-4419-3842-8Published: 05 January 2011
eBook ISBN: 978-0-387-25853-9Published: 02 July 2006
Series ISSN: 1388-4301
Edition Number: 1
Number of Pages: XIV, 223
Topics: Finance, general, Optimization, Quantitative Finance, Artificial Intelligence