An advanced system for portfolio optimisation. (1st January 2014)
- Record Type:
- Journal Article
- Title:
- An advanced system for portfolio optimisation. (1st January 2014)
- Main Title:
- An advanced system for portfolio optimisation
- Authors:
- Beraldi, Patrizia
Grandinetti, Lucio
Epicoco, Italo
Violi, Antonio
Bruni, Maria Elena - Abstract:
- Portfolio optimisation is a crucial problem that every financial operator has to deal with. Nowadays the possibility to process large amount of data, to generate more confident forecasts and to solve more complex optimisation problems is powered by the adoption of advanced computing systems. This paper presents an efficient and effective decision support system for portfolio optimisation implemented on a grid platform. The system relies on a methodological kernel which efficiently integrates simulation and optimisation techniques. A large set of numerical experiments has been carried out to measure the performance of the system both in terms of computational efficiency and improved solution quality.
- Is Part Of:
- International journal of grid and utility computing. Volume 5:Number 1(2014)
- Journal:
- International journal of grid and utility computing
- Issue:
- Volume 5:Number 1(2014)
- Issue Display:
- Volume 5, Issue 1 (2014)
- Year:
- 2014
- Volume:
- 5
- Issue:
- 1
- Issue Sort Value:
- 2014-0005-0001-0000
- Page Start:
- 21
- Page End:
- 32
- Publication Date:
- 2014-01-01
- Subjects:
- portfolio optimisation -- grid computing -- stochastic programming -- risk management
Electronic data processing -- Distributed processing -- Periodicals
Electronic commerce -- Management -- Computer programs -- Periodicals
004.605 - Journal URLs:
- http://www.inderscience.com/ ↗
http://www.inderscience.com/jhome.php?jcode=ijguc ↗ - Languages:
- English
- ISSNs:
- 1741-847X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 8669.xml