Stochastic-Volatility, Jump-Diffusion Optimal Portfolio Problem with Jumps in Returns and Volatility

Author(s):  
Floyd B. Hanson
Filomat ◽  
2012 ◽  
Vol 26 (3) ◽  
pp. 573-583 ◽  
Author(s):  
Tiantian Liu ◽  
Jun Zhao ◽  
Peibiao Zhao

Zhou and Li [49] by virtue of stochastic linear-quadratic control theory studied the optimal portfolio problems with the asset price process satisfying a diffusion stochastic differential equation, and proposed the celebrated LQ framework and the efficient frontier for the given portfolio problem. In this paper, we consider the optimal portfolio problems based on the asset price process satisfying a jump-diffusion stochastic differential equation. Similarly, we also arrive at the efficient frontier of the optimal portfolio selection problem. The conclusions obtained here can be regarded as a natural generalization of the work by Zhou and Li [49].


2016 ◽  
Vol 58 (2) ◽  
pp. 182-186 ◽  
Author(s):  
MOAWIA ALGHALITH

A new approach to jump diffusion is introduced, where the jump is treated as a vertical shift of the price (or volatility) function. This method is simpler than the previous methods and it is applied to the portfolio model with a stochastic volatility. Moreover, closed-form solutions for the optimal portfolio are obtained. The optimal closed-form solutions are derived when the value function is not smooth, without relying on the method of viscosity solutions.


2013 ◽  
Vol 222 ◽  
pp. 391-401 ◽  
Author(s):  
Xinfeng Ruan ◽  
Wenli Zhu ◽  
Jin Hu ◽  
Jiexiang Huang

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