Linear and mixed integer programming for portfolio optimization. (2015)
- Record Type:
- Book
- Title:
- Linear and mixed integer programming for portfolio optimization. (2015)
- Main Title:
- Linear and mixed integer programming for portfolio optimization
- Further Information:
- Note: Renata Mansini, Włodzimierz Ogryczak, M. Grazia Speranza.
- Authors:
- Mansini, Renata
Ogryczak, Włodzimierz
Speranza, M. G (Maria Grazia) - Contents:
- Portfolio optimization -- Linear models for portfolio optimization -- Portfolio optimization with transaction costs -- Portfolio optimization with other real features -- Rebalancing and index tracking -- Theoretical framework -- Computational issues.
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2015
- Extent:
- 1 online resource (xii, 119 pages), illustrations (some color)
- Subjects:
- 332.601/5118
Business
Portfolio management -- Mathematical models
Linear programming
Integer programming
Operation Research/Decision Theory
Finance/Investment/Banking
Quantitative Finance
Operations Research, Management Science
Integer programming
Linear programming
Portfolio management -- Mathematical models
Business & Economics -- Finance
Mathematics -- Applied
Business & Economics -- Operations Research
Finance
Finance & accounting
Operational research
Management science
Operations research
Finance
Electronic books - Languages:
- English
- ISBNs:
- 9783319184821
3319184822
3319184814
9783319184814 - Related ISBNs:
- 9783319184814
- Notes:
- Note: Includes bibliographical references.
Note: Online resource; title from PDF title page (SpringerLink, viewed June 18, 2015). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.361731
- Ingest File:
- 01_325.xml