Heston模型下考虑工资风险和保费退还条款的DC型养老金时间一致性投资策略

DC型养老金投资者通常可以将保费投资于金融市场中无风险资产、风险资产及通胀指数化债券3种资产。在均值-方差准则下,为充分考虑市场风险因素和保障参保人利益,将通胀风险、波动风险、工资风险以及保费退还条款引入投资模型。利用博弈论思想和随机最优控制技术,通过求解一个扩展HJB方程组,得到最优时间一致性投资策略和有效前沿的解析表达。通过数值分析比较有、无保费退还条款两种情形下的最优投资策略。此外,分析了一些主要参数对最优投资策略和有效前沿的影响,给出了经济意义上的解释。

基于实物期权的中国光伏发电项目投资评价

针对中国光伏发电的实际,建立基于实物期权的光伏发电项目投资评价模型,考虑市场条件、技术条件以及上网电价政策的不确定性,应用最小二乘蒙特卡洛模拟方法求解。分析中国光伏发电项目的投资价值与最优投资时间,通过灵敏度分析,探讨市场变化与技术变化对投资价值与最优投资时间的影响。研究表明:中国现在的光伏发电投资环境不足以吸引投资者的即刻投资;非可再生能源发电成本波动性的提高会增加光伏发电项目投资价值,但会推后项目的最优投资时间;技术变化漂移率的提升可提高光伏发电项目投资价值,而技术变化的波动率则降低光伏发电项目投资价值。因此,国家应该一方面提高电价补贴,增加研发投入;另一方面维护光伏发电市场条件和技术发展的稳定。

A novel hybrid algorithm based on a harmony search and artificial bee colony for solving a portfolio optimization problem using a mean-semi variance approach

Portfolio selection is one of the major capital allocation and budgeting issues in financial management, and a variety of models have been presented for optimal selection. Semi-variance is usually considered as a risk factor in drawing up an efficient frontier and the optimal portfolio. Since semi-variance offers a better estimation of the actual risk portfolio, it was used as a measure to approximate the risk of investment in this work. The optimal portfolio selection is one of the non-deterministic polynomial(NP)-hard problems that have not been presented in an exact algorithm, which can solve this problem in a polynomial time. Meta-heuristic algorithms are usually used to solve such problems. A novel hybrid harmony search and artificial bee colony algorithm and its application were introduced in order to draw efficient frontier portfolios. Computational results show that this algorithm is more successful than the harmony search method and genetic algorithm. In addition, it is more accurate in finding optimal solutions at all levels of risk and return.