dragoncar wrote:
I buy everything you said, except for the "extra 1% comes from predictability" part. Basically you are saying we should expect a 2% real return, plus 1% from predictability = 3% real?
The 2% part makes sense. But can anyone elaborate on why we should expect that extra 1% (recall that its not due to rebalancing... Or is it that rebalancing is more effective because of the assets we gold?)
What I'm saying is that the "expected" return is based on a mathematical model that doesn't match reality - specifically returns are not randomly distributed with a normal distribution and with persistent correlations - so the MPT "expected" return isn't what you should actually expect. In the model, the assets go up and down
randomly, with a specific standard deviation around a specific average with a specific correlation to each other. For example, the model says long term bonds and stocks have a slight positive correlation (0.127 according to
http://www2.stetson.edu/fsr/abstracts2/V14-3%20A5.pdf), even during periods of inflation with rising interest rates (!!??). If you only look at periods of inflation with rising interest rates I'd be surprised if the actual correlation between long term bonds and stocks isn't something pretty close to -1 (and the average return of long term bonds during such a period sure as hell isn't going to be 5.8% nominal).
I don't know whether Browne did this (my guess is no, since he didn't have a period of deflation to use as a data point), but a more nuanced way to arrive at an expected long term return would be to divide history into the overall market conditions the portfolio is designed to cover (inflation, deflation, prosperity, and "tight money" recession) and compute average returns, standard deviations, and correlations for each of the assets within each of these conditions, and then compute an MPT expected return in each condition. The long term return is then something like the sum of the products of the returns during each of these market conditions times the probability of the market condition occurring.
The overall point here is that the mathematical model ignores the prevailing market conditions (which can in general only be determined in hindsight) and treats the individual assets as if their relative returns can never be more closely predicted than their long term average, standard deviation, and correlations would indicate. But in reality, the PP assets act predictably in various economic conditions, and this predictability invalidates the conclusions the model produces. If you want a more accurate prediction, you need to use a more complicated model.