The primary question is this: do we truly have models that can predict future asset correlations. In other words, are our assumptions about distribution of returns valid. Behavioral economics suggests that individuals react differently than mathematically predicted.
Personally, I think the biggest problem with any ideal portfolio allocation tool are black swan events (Taleb).
> I think the biggest problem with any ideal portfolio allocation tool are black swan events (Taleb).
Yes. Black Swans are certainly a problem. It's insane to think that investment returns are anything resembling a Gaussian distribution. In the financial crisis of 2008-2009, people were using phrases such as "a 9 sigma event" to describe the markets.
Wrong! Basically THERE'S NO SUCH THING AS a 9 SIGMA EVENT. Wikipedia gives the probability of a 6 sigma event as 1 in 500 million. So it the epitome of arrogance to think that we're so "special" that we just happened to be alive during a 9 sigma market move.
What it all really means is that the markets do not behave the way lazy eggheads want them to. Everyone understands Gaussian distributions and standard deviation. So they are eager to use that math where they shouldn't.
I'm sure you know all this. But for those people who aren't familiar with Taleb and want to read more, he wrote three pop books about it:
George Soros' perspective is grounding. Markets are moved by people with incomplete knowledge. The entire field of economics is based on a false analogy with Newtonian physics. There is no equilibrium, no mystical balancing force underlying the economic universe. Just a whole bunch of relative idiots trying to get rich for free.
Are these works (esp the latter) accessible to people with no economics background, but a decent foundation in maths (calculus & algebra) and basic statistics (distributions etc)?
Personally, I think the biggest problem with any ideal portfolio allocation tool are black swan events (Taleb).