Comparison between the Mean Variance optimal and the Mean
نویسنده
چکیده
5 We compare optimal liquidation policies in continuous time in the presence of trading impact using 6 numerical solutions of Hamilton Jacobi Bellman (HJB) partial differential equations (PDE). In par7 ticular, we compare the time-consistent mean-quadratic-variation strategy with the time-inconsistent 8 (pre-commitment) mean-variance strategy. We show that the two different risk measures lead to very dif9 ferent strategies and liquidation profiles. In terms of the optimal trading velocities, the mean-quadratic10 variation strategy is much less sensitive to changes in asset price and varies more smoothly. In terms 11 of the liquidation profiles, the mean-variance strategy strategy is much more variable, although the 12 mean liquidation profiles for the two strategies are surprisingly similar. On a numerical note, we show 13 that using an interpolation scheme along a parametric curve in conjunction with the semi-Lagrangian 14 method results in significantly better accuracy than standard axis-aligned linear interpolation. We also 15 demonstrate how a scaled computational grid can improve solution accuracy. 16
منابع مشابه
A new quadratic deviation of fuzzy random variable and its application to portfolio optimization
The aim of this paper is to propose a convex risk measure in the framework of fuzzy random theory and verify its advantage over the conventional variance approach. For this purpose, this paper defines the quadratic deviation (QD) of fuzzy random variable as the mathematical expectation of QDs of fuzzy variables. As a result, the new risk criterion essentially describes the variation of a fuzzy ...
متن کاملThe Tail Mean-Variance Model and Extended Efficient Frontier
In portfolio theory, it is well-known that the distributions of stock returns often have non-Gaussian characteristics. Therefore, we need non-symmetric distributions for modeling and accurate analysis of actuarial data. For this purpose and optimal portfolio selection, we use the Tail Mean-Variance (TMV) model, which focuses on the rare risks but high losses and usually happens in the tail of r...
متن کاملStock Portfolio-Optimization Model by Mean-Semi-Variance Approach Using of Firefly Algorithm and Imperialist Competitive Algorithm
Selecting approaches with appropriate accuracy and suitable speed for the purpose of making decision is one of the managers’ challenges. Also investing decision is one of the main decisions of managers and it can be referred to securities transaction in financial markets which is one of the investments approaches. When some assets and barriers of real world have been considered, optimization of...
متن کاملApplication of Clayton Copula in Portfolio Optimization and its Comparison with Markowitz Mean-Variance Analysis
With the aim of portfolio optimization and management, this article utilizes the Clayton-copula along with copula theory measures. Portfolio-Optimization is one of the activities in investment funds. Thus, it is essential to select an appropriate optimization method. In modern financial analyses, there is growing evidence indicating the distribution of proceeds of financial properties is not cu...
متن کاملPortfolio Performance Evaluation in a Modified Mean-Variance-Skewness Framework with Negative Data
The present study is an attempt toward evaluating the performance of portfolios using mean-variance-skewness model with negative data. Mean-variance non-linear framework and mean-variance-skewness non- linear framework had been proposed based on Data Envelopment Analysis, which the variance of the assets had been used as an input to the DEA and expected return and skewness were the output. C...
متن کاملRobust optimal multi-objective controller design for vehicle rollover prevention
Robust control design of vehicles addresses the effect of uncertainties on the vehicle’s performance. In present study, the robust optimal multi-objective controller design on a non-linear full vehicle dynamic model with 8-degrees of freedom having parameter with probabilistic uncertainty considering two simultaneous conflicting objective functions has been made to prevent the rollover. The obj...
متن کامل