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Solutions to some portfolio optimization problems with stochastic income and consumption

机译:具有随机收入和消费的一些投资组合优化问题的解决方案

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We solve an optimal portfolio choice problem for an investor with either power or log utility over terminal wealth in close form, facing imperfectly hedgeable stochastic income. The returns on the income and the stock are imperfectly correlated, therefore the market is incomplete. We describe how an investor accommodates or adjusts the Merton portfolio of the stock and risk-free asset through an interpolating hedging demand, in reaction to the stochastic income. The solutions to the investor thrilling problem of seeking the optimal portfolio are formulated and worked out using the stochastic control theory. The Bellman principle of dynamic optimality is utilized through the Hamilton-Jacobi-Bellman (HJB) partial differential equation. We apply the results to some unconstrained portfolio optimization problem with power and log utility functions which lead to four propositions as the main results. All the two models discussed shows that, there is an inverse relation between the risk and the value of Merton’s investment strategy.
机译:我们为拥有不动产或对数不动产以接近形式面对终端财富,面对不完全对冲的随机收入的投资者解决了最佳投资组合选择问题。收益和股票的收益不完全相关,因此市场不完整。我们描述了投资者如何通过对冲需求的插值对冲需求来适应或调整默顿的股票和无风险资产投资组合。运用随机控制理论,制定并解决了寻求最优投资组合的投资者激动问题的解决方案。通过Hamilton-Jacobi-Bellman(HJB)偏微分方程利用动态最优的Bellman原理。我们将结果应用到一些幂和对数效用函数的无约束组合优化问题,得出四个命题作为主要结果。讨论的所有两个模型都表明,风险与默顿投资策略的价值之间存在反比关系。

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