Tailor-Made Asset Allocation: A Robust Framework to Implement Active Views

Tarek Issaoui, Romain Perchet, Olivier Retière, François Soupé, Chenyang Yin
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引用次数: 1

Abstract

Asset managers publish tactical asset allocation views regularly. The implementation of such (usually qualitative) views, in portfolios is often over-simplistic. We propose a robust framework to industrialize the construction of tailored portfolios consistent with the views. First, an unconstrained unique tactical portfolio is created by relating the conviction in each view to the allocation of risk budget to the assets underlying the view. Second, the tailored portfolios with investor-specific constraints and targets are constructed using robust portfolio optimization based on implied active returns derived from the unique unconstrained tactical portfolio. The implied returns are derived from reverse optimization using the same robust approach. Robust optimization is the core engine for the industrialization process. It produces portfolios consistent with the views while complying with constraints without requiring human intervention. Finally, a factor-based risk model endows the framework with transparency, by allowing for comparison of risk-factor exposures in portfolios with those in the original views’ exposures.
定制资产配置:实现活动视图的健壮框架
资产管理公司定期发布策略性资产配置视图。在投资组合中实现这样的(通常是定性的)视图常常过于简单化。我们提出了一个健壮的框架,以工业化定制的投资组合的建设与观点一致。首先,通过将每个观点中的信念与风险预算分配到该观点所支持的资产相关联,创建了一个不受约束的独特战术投资组合。其次,基于独特的无约束战术投资组合的隐含主动收益,利用稳健的投资组合优化构建了具有投资者特定约束和目标的定制投资组合。隐含收益是使用相同的鲁棒方法从反向优化中得到的。鲁棒优化是工业化进程的核心引擎。它生成与视图一致的投资组合,同时遵守约束,而不需要人工干预。最后,基于因素的风险模型通过允许将投资组合中的风险因素暴露与原始视图中的风险暴露进行比较,赋予了框架透明度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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