scholarly journals Portfolio optimization model with uncertain returns based on prospect theory

2021 ◽  
Author(s):  
Yufeng Li ◽  
Bing Zhou ◽  
Yingxue Tan
Keyword(s):  
Portfolio Optimization ◽  
Prospect Theory ◽  
Optimization Model ◽  
Utility Maximization ◽  
Particle Swarm Optimization Algorithm ◽  
Historical Data ◽  
Gray Wolf ◽  
Swarm Optimization ◽  
Expected Utility Maximization ◽  
Portfolio Optimization Model

AbstractWhen investing in new stocks, it is difficult to predict returns and risks in a general way without the support of historical data. Therefore, a portfolio optimization model with an uncertain rate of return is proposed. On this basis, prospect theory is used for reference, and then the uncertain return portfolio optimization model is established from the perspective of expected utility maximization. An improved gray wolf optimization (GWO) algorithm is designed because of the complex nonsmooth and nonconcave characteristics of the model. The results show that the GWO algorithm is superior to the traditional particle swarm optimization algorithm and genetic algorithm.

A portfolio optimization model for corporate bonds subject to credit risk

2004 ◽  
Vol 6 (2) ◽  
pp. 31-48 ◽  
Author(s):  
Nagisa Akutsu ◽  
Masaaki Kijima ◽  
Katsuya Komoribayashi
Keyword(s):  
Credit Risk ◽  
Portfolio Optimization ◽  
Optimization Model ◽  
Corporate Bonds ◽  
Portfolio Optimization Model

Portfolio Optimization Model with Transaction Costs

2002 ◽  
Vol 18 (2) ◽  
pp. 231-248 ◽  
Author(s):  
Shu-ping Chen ◽  
Chong Li ◽  
Sheng-hong Li ◽  
Xiong-wei Wu
Keyword(s):  
Transaction Costs ◽  
Portfolio Optimization ◽  
Optimization Model ◽  
Portfolio Optimization Model

A mean-absolute deviation-skewness portfolio optimization model

1993 ◽  
Vol 45 (1) ◽  
pp. 205-220 ◽  
Author(s):  
Hiroshi Konno ◽  
Hiroshi Shirakawa ◽  
Hiroaki Yamazaki
Keyword(s):  
Portfolio Optimization ◽  
Optimization Model ◽  
Mean Absolute Deviation ◽  
Absolute Deviation ◽  
Portfolio Optimization Model

scholarly journals Whale Optimization Algorithm for Multiconstraint Second-Order Stochastic Dominance Portfolio Optimization

2020 ◽  
Vol 2020 ◽  
pp. 1-19
Author(s):  
Q. H. Zhai ◽  
T. Ye ◽  
M. X. Huang ◽  
S. L. Feng ◽  
H. Li
Keyword(s):  
Portfolio Optimization ◽  
Optimization Algorithm ◽  
Stochastic Dominance ◽  
Optimization Model ◽  
Second Order ◽  
Whale Optimization Algorithm ◽  
Order Stochastic Dominance ◽  
Whale Optimization ◽  
Portfolio Optimization Model ◽  
Second Order Stochastic Dominance

In the field of asset allocation, how to balance the returns of an investment portfolio and its fluctuations is the core issue. Capital asset pricing model, arbitrage pricing theory, and Fama–French three-factor model were used to quantify the price of individual stocks and portfolios. Based on the second-order stochastic dominance rule, the higher moments of return series, the Shannon entropy, and some other actual investment constraints, we construct a multiconstraint portfolio optimization model, aiming at comprehensively weighting the returns and risk of portfolios rather than blindly maximizing its returns. Furthermore, the whale optimization algorithm based on FTSE100 index data is used to optimize the above multiconstraint portfolio optimization model, which significantly improves the rate of return of the simple diversified buy-and-hold strategy or the FTSE100 index. Furthermore, extensive experiments validate the superiority of the whale optimization algorithm over the other four swarm intelligence optimization algorithms (gray wolf optimizer, fruit fly optimization algorithm, particle swarm optimization, and firefly algorithm) through various indicators of the results, especially under harsh constraints.

scholarly journals Portfolio Optimization of Photovoltaic/Battery Energy Storage/Electric Vehicle Charging Stations with Sustainability Perspective Based on Cumulative Prospect Theory and MOPSO

2020 ◽  
Vol 12 (3) ◽  
pp. 985 ◽  
Author(s):  
Jicheng Liu ◽  
Qiongjie Dai
Keyword(s):  
Energy Storage ◽  
Portfolio Optimization ◽  
Prospect Theory ◽  
Electric Vehicle ◽  
Optimization Model ◽  
Cumulative Prospect Theory ◽  
Battery Energy Storage ◽  
Electric Vehicle Charging ◽  
Battery Energy ◽  
Charging Stations

Recently, an increasing number of photovoltaic/battery energy storage/electric vehicle charging stations (PBES) have been established in many cities around the world. This paper proposes a PBES portfolio optimization model with a sustainability perspective. First, various decision-making criteria are identified from perspectives of economy, society, and environment. Secondly, the performance of alternatives with respect to each criterion is evaluated in the form of trapezoidal intuitionistic fuzzy numbers (TrIFN). Thirdly, the alternatives are ranked based on cumulative prospect theory. Then, a multi-objective optimization model is built and solved by multi-objective particle swarm optimization (MOPSO) algorithm to determine the optimal PBES portfolio. Finally, a case in South China is studied and a scenario analysis is conducted to verify the effectiveness of the proposed model.

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