论文标题
终端差异及其相关风险预算问题的连续时间风险贡献
Continuous-Time Risk Contribution of the Terminal Variance and its Related Risk Budgeting Problem
论文作者
论文摘要
为了在不同资产之间实现风险的稳健性,在过去的几十年中,风险平价投资规则(一种特定的风险贡献状态)在受欢迎程度上越来越受欢迎。为了将风险贡献的概念从简单的协方差矩阵案例概念概述到连续的时间案例,在该案例中,财富的最终差异被用作风险措施,我们将风险贡献和边际风险贡献表征为各种资产的边际风险贡献,以使用GATEAUX差异和DOLEANS措施来预测的过程。同时,我们在此处扩展的风险贡献具有汇总财产,即可以将总风险表示为不同资产之间的风险和$(t,ω)$的聚合。随后,作为一个反向目标 - 分配风险,在本文中还探讨了如何获得风险预算的问题的风险预算问题,即如何获得其风险贡献与持续时间案件中预先赋予的风险预算一致的政策。这些政策是通过预先制定的风险预算参数参数的随机凸优化的解决方案。此外,单期风险预算政策被解释为在连续时间案件中的风险预算政策的预测。在应用程序方面,可以通过风险预算优化获得[Moreira and Muir,2017]中的波动性管理的投资组合;与以前的发现相似,[Zhou and Li,2000]中的连续时间均值分配似乎集中在风险贡献方面。
To achieve robustness of risk across different assets, risk parity investing rules, a particular state of risk contributions, have grown in popularity over the previous few decades. To generalize the concept of risk contribution from the simple covariance matrix case to the continuous-time case in which the terminal variance of wealth is used as the risk measure, we characterize risk contributions and marginal risk contributions on various assets as predictable processes using the Gateaux differential and Doleans measure. Meanwhile, the risk contributions we extend here have the aggregation property, namely that total risk can be represented as the aggregation of those among different assets and $(t,ω)$. Subsequently, as an inverse target -- allocating risk, the risk budgeting problem of how to obtain policies whose risk contributions coincide with pre-given risk budgets in the continuous-time case is also explored in this paper. These policies are solutions to stochastic convex optimizations parametrized by the pre-given risk budgets. Moreover, single-period risk budgeting policies are explained as the projection of risk budgeting policies in continuous-time cases. On the application side, volatility-managed portfolios in [Moreira and Muir,2017] can be obtained by risk budgeting optimization; similarly to previous findings, continuous-time mean-variance allocation in [Zhou and Li, 2000] appears to be concentrated in terms of risk contribution.