| dc.contributor.author | Filar Jerzy | en_US |
| dc.contributor.author | Kang Boda | en_US |
| dc.contributor.editor | Yan, H; Yin, G; Zhang, Q. | en_US |
| dc.date.accessioned | 2010-05-28T09:37:43Z | |
| dc.date.available | 2010-05-28T09:37:43Z | |
| dc.date.issued | 2006 | en_US |
| dc.identifier | 2008003764 | en_US |
| dc.identifier.citation | Filar Jerzy and Kang Boda 2006, 'Two Types of Risk', in http://dx.doi.org/10.1007/0-387-33815-2_7 (ed.), Springer, Germany, pp. 109-140. | en_US |
| dc.identifier.issn | 978-0-387-33770-8 | en_US |
| dc.identifier.other | B1 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10453/7817 | |
| dc.description.abstract | The risk encountered in many environmental problems appears to exhibit special ¿two-sided¿ characteristics. For instance, in a given area and in a given period, farmers do not want to see too much or too little rainfall. They hope for rainfall that is in some given interval. We formulate and solve this problem with the help of a ¿two-sided loss function¿ that depends on the above range. Even in financial portfolio optimization a loss and a gain are ¿two sides of a coin¿, so it is desirable to deal with them in a manner that reflects an investor¿s relative concern. Consequently, in this paper, we define Type I risk: ¿the loss is too big¿ and Type II risk: ¿the gain is too small¿. Ideally, we would want to minimize the two risks simultaneously. However, this may be impossible and hence we try to balance these two kinds of risk. Namely, we tolerate certain amount of one risk when minimizing the other. The latter problem is formulated as a suitable optimization problem and illustrated with a numerical example. | en_US |
| dc.language | en_US | |
| dc.publisher | Springer | en_US |
| dc.relation.hasversion | Accepted manuscript version | en_US |
| dc.relation.isbasedon | http://dx.doi.org/10.1007/0-387-33815-2_7 | en_US |
| dc.rights | The original publication is available at www.springerlink.com | en_US |
| dc.title | Two Types of Risk | en_US |
| dc.parent | Stochastic Processes, Optimization, and Control Theory: Applications in Financial Engineering, Queue | en_US |
| dc.journal.volume | en_US | |
| dc.journal.number | en_US | |
| dc.publocation | Germany | en_US |
| dc.identifier.startpage | 109 | en_US |
| dc.identifier.endpage | 140 | en_US |
| dc.cauo.name | BUS.School of Finance and Economics | en_US |
| dc.conference | Verified OK | en_US |
| dc.for | 010205 | en_US |
| dc.personcode | 0000032949;101305 | en_US |
| dc.percentage | 000050 | en_US |
| dc.classification.name | Financial Mathematics | en_US |
| dc.classification.type | FOR-08 | en_US |
| dc.edition | 1 | en_US |
| dc.custom | en_US | |
| dc.date.activity | en_US | |
| dc.location.activity | en_US | |
| dc.description.keywords | Two-sided risk - rainfall - temperature - value-at-risk - conditional value-at-risk - Type I risk - value-of-gain - conditional value-of-gain - Type II risk - assurance - scenarios - portfolio optimization | en_US |
| dc.staffid | University of South Australia | en_US |