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基于条件风险价值的动态多阶段电力资产配置模型
引用本文:赵文会,王炜,施泉生,戴秦.基于条件风险价值的动态多阶段电力资产配置模型[J].电网技术,2009,33(7):77-82.
作者姓名:赵文会  王炜  施泉生  戴秦
作者单位:赵文会,施泉生,戴秦,ZHAO Wen-hui,SHI Quan-sheng,DAI Qin(上海电力学院,经济与管理学院,上海市,杨浦区,200090);王炜,WANG Wei(辽宁师范大学,数学学院,辽宁省,大连市,116029)  
基金项目:上海市教委重点课题,上海市教委重点学科资助项目,上海市哲学社会科学基金 
摘    要:在开放的电力市场环境下,电力金融市场具有随机性特征,风险控制和资产管理策略是影响电力市场资产配置效果的两大关键因素。根据投资组合的风险分散化原理,文中建立了基于条件风险价值的动态多阶段电力资产配置模型,分析了不同资产调整策略对电力资产配置效果的影响。应用该模型模拟了某电力市场参与者采用不同资产调整策略时投资组合的有效前沿和组合收益率分布情况。实证研究表明,通过电力实物资产、电力衍生产品和相关能源衍生产品的投资组合,并采取合理的动态多阶段资产调整策略,可以有效规避电力市场风险。

关 键 词:资产组合  风险管理  多阶段随机规划  电力衍生产品  条件风险价值(CVaR)
收稿时间:2008-07-21
修稿时间:2009-02-18

Dynamic Multi-Stage Optimization Configuration Model for Electricity Assets Based on Conditional Value at Risk
ZHAO Wen-hui,WANG Wei,SHI Quan-sheng,DAI Qin.Dynamic Multi-Stage Optimization Configuration Model for Electricity Assets Based on Conditional Value at Risk[J].Power System Technology,2009,33(7):77-82.
Authors:ZHAO Wen-hui  WANG Wei  SHI Quan-sheng  DAI Qin
Affiliation:1.School of Economics and Management;Shanghai University of Electric Power;Yangpu District;Shanghai 200090;China;2.School of Mathematics;Liaoning Normal University;Dalian 116029;Liaoning Province;China
Abstract:In unregulated electricity market, the stochastic is one important characteristic of financial markets for electricity, and risk control and assets management strategy are the two key factors impacting assets configuration effect in electricity market. According to the risk diversification principle of investment portfolio, a dynamic multi-stage optimization configuration model for electricity assets based on conditional value at risk (CVaR) is built and the impacts of different assets reallocation strategies on the electricity assets configuration effect are analyzed. Using the proposed model, the efficient frontier and portfolio return distribution of different assets reallocation strategies adopted by participants in a certain electricity market are simulated. Empirical research results show that the risk of electricity market can be evaded effectively through the investment portfolio of physical electricity assets, electricity derivatives and related energy source derivatives and by means of adopting rational dynamic multi-stage assets allocation strategies.
Keywords:assets portfolio  risk management  multi-stage stochastic programming  electricity derivatives  conditional value at risk (CVaR)
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