Portfolio Optimization Associated with a Weak Information
نویسنده
چکیده
In this paper we consider an investor who trades in a complete financial market so as to maximize his expected utility of wealth at a prespecified time. We assume that he is in the following position : His portfolio decisions are based on a public information flow but he possesses extra information about the law of some functional of the future prices of a stock. Our basic question is then: How should he trade on the financial market to optimally exploit his extra information? We show that the optimal trading strategies corresponding to a such investor (called weakly informed) are derived from processes which are solutions of what we called in a previous paper a conditioned stochastic differential equation. Such processes can be realized as all the possible filters of the price process seen under the martingale probability measure but looked in a enlarged filtration. This filtering makes the link with the works of several authors who considered financial markets in which one insider possesses from the beginning extra information about the outcome ω by ω of some variable (this is a higher information level which we call strong).
منابع مشابه
A Robust Knapsack Based Constrained Portfolio Optimization
Many portfolio optimization problems deal with allocation of assets which carry a relatively high market price. Therefore, it is necessary to determine the integer value of assets when we deal with portfolio optimization. In addition, one of the main concerns with most portfolio optimization is associated with the type of constraints considered in different models. In many cases, the resulted p...
متن کاملLexicographic goal programming approach for portfolio optimization
This paper will investigate the optimum portfolio for an investor, taking into account 5 criteria. The mean variance model of portfolio optimization that was introduced by Markowitz includes two objective functions; these two criteria, risk and return do not encompass all of the information about investment; information like annual dividends, S&P star ranking and return in later years which is ...
متن کاملOptimal Portfolio Allocation based on two Novel Risk Measures and Genetic Algorithm
The problem of optimal portfolio selection has attracted a great attention in the finance and optimization field. The future stock price should be predicted in an acceptable precision, and a suitable model and criterion for risk and the expected return of the stock portfolio should be proposed in order to solve the optimization problem. In this paper, two new criterions for the risk of stock pr...
متن کاملRobustness-based portfolio optimization under epistemic uncertainty
In this paper, we propose formulations and algorithms for robust portfolio optimization under both aleatory uncertainty (i.e., natural variability) and epistemic uncertainty (i.e., imprecise probabilistic information) arising from interval data. Epistemic uncertainty is represented using two approaches: (1) moment bounding approach and (2) likelihood-based approach. This paper first proposes a ...
متن کاملComparison of the Accuracy of Black Hole Algorithms and Gravitational Research and the Hybrid Method in Portfolio Optimization
The main purpose of this research is portfolio optimization in Tehran securities exchange using the black hole algorithm and the Gravitational Research algorithm. We also propose an algorithm named Hybrid Algorithm which combines the two algorithms above to cover the weaknesses of these two algorithms. Finally we compare the results with the Markowitz model and choose the optimal algorithm.<br ...
متن کاملMULTIPERIOD CREDIBILITIC MEAN SEMI-ABSOLUTE DEVIATION PORTFOLIO SELECTION
In this paper, we discuss a multiperiod portfolio selection problem with fuzzy returns. We present a new credibilitic multiperiod mean semi- absolute deviation portfolio selection with some real factors including transaction costs, borrowing constraints, entropy constraints, threshold constraints and risk control. In the proposed model, we quantify the investment return and risk associated with...
متن کامل