Title
Dynamic Mean-LPM and Mean-CVaR Portfolio Optimization in Continuous-Time.
Abstract
We investigate in this paper dynamic mean-downside risk portfolio optimization problems in continuous-time, where the downside risk measures can be either the lower-partial moments (LPM) or the conditional value-at-risk (CVaR). Our contributions are twofold, both building up tractable formulations and deriving corresponding analytical solutions. By imposing a limit funding level on the terminal wealth, we conquer the ill-posedness exhibited in a class of mean-downside risk portfolio models. For a general market setting, we prove the existence and uniqueness of the Lagrangian multiplies, which is a key step in applying the martingale approach, and establish a theoretical foundation for developing efficient numerical solution approaches. Moreover, for situations where the opportunity set of the market setting is deterministic, we derive analytical portfolio policies for both dynamic mean-LPM and mean-CVaR formulations.
Year
DOI
Venue
2017
10.1137/140955264
SIAM JOURNAL ON CONTROL AND OPTIMIZATION
Keywords
Field
DocType
dynamic mean-downside risk portfolio optimization,lower-partial moments,LPM,conditional value-at-risk portfolio,CVaR,stochastic control,martingale approach
Mathematical optimization,Martingale (probability theory),Downside risk,Replicating portfolio,Portfolio,Post-modern portfolio theory,Portfolio optimization,Mathematics,Stochastic control,CVAR
Journal
Volume
Issue
ISSN
55
3
0363-0129
Citations 
PageRank 
References 
1
0.48
7
Authors
4
Name
Order
Citations
PageRank
Jianjun Gao15111.33
ke zhou210.48
Duan Li35612.31
Xi-Ren Cao4930123.58