Viscosity Solution of Mean-Variance Portfolio Selection of a Jump Markov Process with No-Shorting Constraints
We consider the so-called mean-variance portfolio selection problem in continuous time under the constraint that the short-selling of stocks is prohibited where all the market coefficients are random processes. In this situation the Hamilton-Jacobi-Bellman (HJB) equation of the value function of the...
Saved in:
Main Author: | Moussa Kounta |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2016-01-01
|
Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2016/4543298 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Mean-Variance Portfolio Selection with Margin Requirements
by: Yuan Zhou, et al.
Published: (2013-01-01) -
First Passage Time of a Markov Chain That Converges to Bessel Process
by: Moussa Kounta
Published: (2017-01-01) -
Optimal Portfolio Selection of Mean-Variance Utility with Stochastic Interest Rate
by: Shuang Li, et al.
Published: (2020-01-01) -
Firefly Algorithm for Cardinality Constrained Mean-Variance Portfolio Optimization Problem with Entropy Diversity Constraint
by: Nebojsa Bacanin, et al.
Published: (2014-01-01) -
Variance Swap Pricing under Markov-Modulated Jump-Diffusion Model
by: Shican Liu, et al.
Published: (2021-01-01)