As previously announced, we´re updating our Portfolio Builder Optimization periodically, both in the Online and Offline Version.

Updated Portfolio Builder Optimization for 2017

Why that? Recall the Portfolio Builder is using a Markowitz Modern Portfolio Theory approach, that is, we´re using past returns, volatilities and co-variances to determine an optimum fixed-weight allocation among our different strategies under certain rules: either to Maximize the Sharpe Ratio (Risk/Return), target a volatility level one feels comfortable with, or to limit historical drawdown in the expectation this will also hold true for the future.

Using Markowitz Modern Portfolio Theory

While full-blooded Markowitz aficionados will now probably feel the urgent need to stone us to death, yes, same to some other peers in the industry ,our approach is dynamic and we do not feel the past is set in .. hmm.. stone. As such, we need to update our Portfolio Builder Optimization periodically based on the most recent returns, volatilities and co-variances of and between our strategies.

As the overall optimization is based on data from the past eight years and we´re only adding the last quarter of data, the changes are relatively small as you can see in the following.

2016 results of our 10 Portfolios for everybody

But before going into the allocations for 2017, how was the performance of the 10 “pre-configured” Portfolio´s during 2016? Results using our Online Portfolio Builder are as follows:

But overall with all Portfolios in the double-digit area, six of ten Portfolios topping 20% in returns and all but the minimum Volatility Portfolio exceeding the 12% return of the S&P 500, the conclusion of a partly bumpy year with many surprises is excellent. It pays out to be diversified over low correlated strategies. Looking for a pattern in the individual under or over performance to their historical average, especially strategies with a high bond allocation suffered in the last half due to the anticipated FED hike and the “Trump effect” for higher inflation expectations due to a significant public spending program. On the sweet side, strategies with high equity exposure had either a great run following the January/February 2016 recovery, or benefited from the strong exposure to NASDAQ in the last two months of the year.

Allocation update January 2017

Now, let´s rinse and repeat the same for 2017, a year which is once again full of “known unknowns” like a new administration in the US, elections in many European countries under a populist shift, risks from Chinese debt and equity bubbles, hot real-estate markets in most regions, a Russian president entering new friendships with western populist leaders and probably many “unknown unknowns” just to keep us young and fresh. Here's a nice collection with 10 Outrageous Predictions for 2017 I liked a lot.

Here the allocations of the Portfolios in 2016 as of the last update:

And here the new allocations as of January 2017:

You can see that only in eight cases have there been changes of more than +/- 5% in the allocation to individual strategies. As result, there are also only insignificant changes in the historical performance statistics of the individual Portfolios.

You can download the updated Excel Version here, or use the Online Portfolio Builder in the usual spot.