Portfolios that include both productive and scarce assets can deliver similar performance to the S&P 500 with less risk than those that hold only productive assets.
Are investment returns random across time as Burton Malkiel suggests in his book, A Random Walk Down Wall Street? There is notable disagreement on this topic. This research finds that practitioners may need to rethink their portfolio optimization routines.
Regret risk is a quantifiable phenomenon. The answer for some clients may be equally weighted portfolios.
To understand risk for portfolio optimization purposes, we need to consider regret.
How do portfolios with asset allocations of 100% equity, 100% bond, 60/40, and 80/20 in the US, UK, Italian, Swiss, and global markets perform over time?
How can we identify and measure a portfolio's benchmark misfit risk?
Should we be adjusting our allocations to emerging or frontier markets?
The crypto market’s recent gyrations necessitate a fresh look at the evolving relationships between crypto and traditional asset classes.
William Kinlaw, Mark Kritzman, and David Turkington offer advice on a wide range of asset allocation topics, backing up their recommendations with solid quantitative analysis.
Andrew Lo and Stephen Foerster offer a checklist of seven principles by which investors can construct their own “perfect portfolios.”
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