VaR Modelling on Long Run Horizons
| dc.contributor.author | Giannopoulos, Kostas | |
| dc.date.accessioned | 2015-12-10T16:59:36Z | |
| dc.date.available | 2015-12-10T16:59:36Z | |
| dc.date.issued | 2003-07 | |
| dc.description.abstract | The Value-at-Risk (VaR) criterion as a measure of portfolio's risk on long run horizons is considered. The method which makes possible to generate VaR estimates on longer horizons is suggested. The VaR estimation is based on the general method of Filtered Historical Simulation (FHS). The results of numerical experiments with real financial data are described. | en_UK |
| dc.doi | 10.1023/A:1024782117906 | |
| dc.identifier.issn | 1608-3032 | |
| dc.identifier.uri | http://hdl.handle.net/11728/6556 | |
| dc.language.iso | en | en_UK |
| dc.publisher | Kluwer Academic Publishers-Plenum Publishers | en_UK |
| dc.relation.ispartofseries | Automation and Remote Control;Volume 64, Issue 7 , pp 1094-1100 | |
| dc.rights | © Springer | en_UK |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | en_UK |
| dc.subject | Research Subject Categories::SOCIAL SCIENCES::Business and economics | en_UK |
| dc.title | VaR Modelling on Long Run Horizons | en_UK |
| dc.type | Article | en_UK |