| dc.contributor.author | Baldeaux Jan | en_US |
| dc.contributor.editor | Chang, J. L. C. et al | en_US |
| dc.date.accessioned | 2012-02-14T04:23:21Z | |
| dc.date.available | 2012-02-14T04:23:21Z | |
| dc.date.issued | 2008 | en_US |
| dc.identifier | 2011000597 | en_US |
| dc.identifier.citation | Baldeaux Jan 2008, 'Quasi-Monte Carlo for finance beyond Black-Scholes', , Australian Mathematical Scoiety, Australia, , pp. C884-C897. | en_US |
| dc.identifier.issn | 1446-8735 | en_US |
| dc.identifier.other | E1 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10453/17272 | |
| dc.description.abstract | Quasi-Monte Carlo methods are used to approximate integrals of high dimensionality. However, if the problem under consideration is of unbounded dimensionality, it is not obvious if one can apply quasi-Monte Carlo methods at all. We introduce a hybrid approach combining quasi-Monte Carlo and Monte Carlo methods and apply it to a finance problem of unbounded dimensionality. We find that this hybrid approach improves on a Monte Carlo approach. | en_US |
| dc.language | en_US | |
| dc.publisher | Australian Mathematical Scoiety | en_US |
| dc.relation.isbasedon | NA | en_US |
| dc.title | Quasi-Monte Carlo for finance beyond Black-Scholes | en_US |
| dc.parent | ANZIAM Journal: Proceedings Computational Techniques and Applications Conference | en_US |
| dc.journal.volume | 50 | en_US |
| dc.journal.number | en_US | |
| dc.publocation | Australia | en_US |
| dc.identifier.startpage | C884 | en_US |
| dc.identifier.endpage | C897 | en_US |
| dc.cauo.name | BUS.School of Finance and Economics | en_US |
| dc.conference | Verified OK | en_US |
| dc.for | 010200 | en_US |
| dc.personcode | 109782 | en_US |
| dc.percentage | 000100 | en_US |
| dc.classification.name | Applied Mathematics | en_US |
| dc.classification.type | FOR-08 | en_US |
| dc.edition | en_US | |
| dc.custom | Computational Techniques and Applications Conference | en_US |
| dc.date.activity | 20080713 | en_US |
| dc.location.activity | Canberra, Australia | en_US |
| dc.description.keywords | NA | en_US |
| dc.staffid | en_US |