Given the surging demand for multi-asset investment solutions, the retirement success and financial security of millions of Americans are now tied to the decisions the managers of these strategies make.
At the core, these strategies are attempting to solve the same problem: providing diversified exposure to financial assets, creating optimized portfolios in an attempt to offset various risks, and pursuing specific financial goals. But the methods by which those portfolios are created are evolving.
This paper explores our efforts to build on the limitations of traditional mean-variance optimization models with a multi-objective approach that considers a more complete picture of investor needs and can result in more diversified asset allocations that can potentially deliver superior investment outcomes.
Key takeaways:
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