Portfolio Optimization with Position Constraints: an Approximate Dynamic Programming Approach
نویسندگان
چکیده
We analyze dynamic portfolio choice problems using an approximate dynamic programming (ADP) algorithm. We extend the algorithm to the case of constraints on borrowing and implement a duality-based simulation procedure for estimating bounds on the true value function. We demonstrate that the ADP solution exhibits a high degree of accuracy in the considered examples, indicating that this is a promising approach to tackling challenging practical problems in the area of asset allocation and portfolio choice. We present additional evidence on the performance of the duality-based method for estimating performance of approximate portfolio rules, showing that it provides a valuable tool in conjunction with ADP-style algorithms. Subject Classifications: Finance: portfolio optimization. Dynamic Programming: optimal control, duality theory.
منابع مشابه
MULTIPERIOD 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 کاملUsing Genetic Algorithm in Solving Stochastic Programming for Multi-Objective Portfolio Selection in Tehran Stock Exchange
Investor decision making has always been affected by two factors: risk and returns. Considering risk, the investor expects an acceptable return on the investment decision horizon. Accordingly, defining goals and constraints for each investor can have unique prioritization. This paper develops several approaches to multi criteria portfolio optimization. The maximization of stock returns, the pow...
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 کاملRobustness in portfolio optimization based on minimax regret approach
Portfolio optimization is one of the most important issues for effective and economic investment. There is plenty of research in the literature addressing this issue. Most of these pieces of research attempt to make the Markowitz’s primary portfolio selection model more realistic or seek to solve the model for obtaining fairly optimum portfolios. An efficient frontier in the ...
متن کاملA Defined Benefit Pension Fund ALM Model through Multistage Stochastic Programming
We consider an asset-liability management (ALM) problem for a defined benefit pension fund (PF). The PF manager is assumed to follow a maximal fund valuation problem facing an extended set of risk factors: due to the longevity of the PF members, the inflation affecting salaries in real terms and future incomes, interest rates and market factors affecting jointly the PF liability and asset p...
متن کامل