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The 'Alternatives Turing Test': How BlackRock Is Using AI to Crack Opaque Private Markets


Using artificial intelligence and data science, investors will be able to bring the portfolio construction and risk modeling techniques that they have long used for public securities to alternatives like private equity and venture capital, according to research published by BlackRock.
Private market investors have faced barriers to improving their portfolio construction, including illiquidity, opaque valuations, and a lack of public information. But the BlackRock paper, expected to be published Friday, offers a portfolio framework investors can use for alternatives. By using AI and data science techniques, investors can forecast the performance of potential investment opportunities in different asset classes over time and optimize various combinations of funds according to their risk appetite, BlackRock said. ....

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The Case for Alternative Investments in Target Date Funds


1
Introduction
The creation of the target date fund (TDF) sought to make available a professionally managed solution for individuals saving for retirement through their employer’s defined contribution (DC)/ 401(k) plan. In the U.S., DC assets represent 61% of total retirement assets
1 and that percentage is expected to continue to rise. However, despite improvements to investment options and participant behavior, on average, DC plans continue to see returns that lag defined benefit (DB) plans. Looking across two recent studies, this deficit is clear: 
Corporate DB plans outperformed DC plans by an average of 70 bps, net of fees, per year between 1990 and 2012. ....

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