Dynamic Portfolio Selection Methods for Power Generation Assets
نویسندگان
چکیده
In this paper we start off by reviewing the literature on how to extend the meanvariance portfolio model to multi-stage portfolio problems. We then apply a multiperiod portfolio selection model to power generation assets, which is based on a reallocation methodology with scenario tree. Two solution approaches are used: the multi-period rebalancing model and the global solution one. These approaches are contrasted with the efficient frontier obtained for a “buy-and-hold policy”, thus helping to illustrate the effect of portfolio dynamization. The study covers all major electricity generation technologies in Germany and investigates the impact of offshore wind and solar power plants on existing power generation portfolios. We find that solar power technology has a positive impact on the efficiency of the portfolios, and the analysis underlines the advantages of using a multi-period rebalancing model for decision-making.
منابع مشابه
Multi-period Portfolio Optimization of Power Generation Assets
The liberalization and deregulation of the energy industry in the past decades have been significantly affected by changes in the strategies of energy firms. The traditionally used approach of cost minimization was no longer sufficient, risk and market behavior could no longer be ignored and the need for more appropriate optimization methods for uncertain environments was increased. Meanvarianc...
متن کاملOutperformance Testing of a Dynamic Assets Portfolio Selection Supplemented with a Continuous Paths Levy Process
This study aims at getting a better performance for optimal stock portfolios by modeling stocks prices dynamics through a continuous paths Levy process. To this end, the share prices are simulated using a multi-dimensional geometric Brownian motion model. Then, we use the results to form the optimal portfolio by maximizing the Sharpe ratio and comparing the findings with the outputs of the conv...
متن کاملPortfolio Selection using Data Envelopment Analysis with common weights
The stock evaluation process plays an important role in portfolio selection because it is the prerequisite for investment and directly influences on the stock allocation. This paper presents a methodology based on Data Envelopment Analysis for portfolio selection, decision making units which can be stocks or other financial assets. First, DMUs efficiencies are computed based on input/output com...
متن کاملOptimal Portfolio Selection for Tehran Stock Exchange Using Conditional, Partitioned and Worst-case Value at Risk Measures
This paper presents an optimal portfolio selection approach based on value at risk (VaR), conditional value at risk (CVaR), worst-case value at risk (WVaR) and partitioned value at risk (PVaR) measures as well as calculating these risk measures. Mathematical solution methods for solving these optimization problems are inadequate and very complex for a portfolio with high number of assets. For t...
متن کاملA Hybrid Portfolio Asset Selection Strategy Using Genetic Algorithms (GA)
Using a Genetic Algorithm (GA), an artificial intelligence technique, this study proposes an user-interactive dynamic portfolio selection strategy using a decision support system that will generate an optimal investment mix of assets based on user selection by maximizing the return of the Sharpe Ratio, a measure of the excess return received on a portfolio for the increase of volatility by acqu...
متن کامل