Please use this identifier to cite or link to this item:
|Title:||Constructing risk measures from uncertainty sets|
|Authors:||Natarajan, K. |
|Citation:||Natarajan, K., Pachamanova, D., Sim, M. (2009). Constructing risk measures from uncertainty sets. Operations Research 57 (5) : 1129-1141. ScholarBank@NUS Repository. https://doi.org/10.1287/opre.1080.0683|
|Abstract:||We illustrate the correspondence between uncertainty sets in robust optimization and some popular risk measures in finance and show how robust optimization can be used to generalize the concepts of these risk measures. We also show that by using properly defined uncertainty sets in robust optimization models, one can construct coherent risk measures and address the issue of the computational tractability of the resulting formulations. Our results have implications for efficient portfolio optimization under different measures of risk. © 2009 INFORMS.|
|Source Title:||Operations Research|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on May 20, 2018
WEB OF SCIENCETM
checked on Apr 23, 2018
checked on May 5, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.