Please use this identifier to cite or link to this item:
https://hdl.handle.net/10419/25469
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Parpas, Panos | en |
dc.contributor.author | Rustem, Berc | en |
dc.contributor.author | Wieland, Volker | en |
dc.contributor.author | Zakovic, Stan | en |
dc.date.accessioned | 2006-08-07 | - |
dc.date.accessioned | 2009-07-24T13:47:48Z | - |
dc.date.available | 2009-07-24T13:47:48Z | - |
dc.date.issued | 2006 | - |
dc.identifier.pi | urn:nbn:de:hebis:30-25940 | en |
dc.identifier.uri | http://hdl.handle.net/10419/25469 | - |
dc.description.abstract | In this paper, we consider expected value, variance and worst-case optimization of nonlinear models. We present algorithms for computing optimal expected values, and variance, based on iterative Taylor expansions. We establish convergence and consider the relative merits of policies beaded on expected value optimization and worst-case robustness. The latter is a minimax strategy and ensures optimal cover in view of the worst-case scenario(s) while the former is optimal expected performance in a stochastic setting. Both approaches are used with a macroeconomic policy model to illustrate relative performances, robustness and trade-offs between the strategies. | en |
dc.language.iso | eng | en |
dc.publisher | |aGoethe University Frankfurt, Center for Financial Studies (CFS) |cFrankfurt a. M. | en |
dc.relation.ispartofseries | |aCFS Working Paper |x2006/03 | en |
dc.subject.jel | C61 | en |
dc.subject.jel | E43 | en |
dc.subject.ddc | 330 | en |
dc.title | Mean variance optimization of non-linear systems and worst-case analysis | - |
dc.type | Working Paper | en |
dc.identifier.ppn | 515332216 | en |
dc.rights | http://www.econstor.eu/dspace/Nutzungsbedingungen | en |
dc.identifier.repec | RePEc:zbw:cfswop:200603 | en |
Files in This Item:
Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.