Ranking the top and bottom TAA strategies

Following up on my last post, I’d like to take a deeper dive into the performance of TAA strategies. In particular, I’ll take a look at the differences between the top performing TAA strategies and the bottom performing ones. There are some important points that come out of this analysis which I think are quite useful when deciding which TAA strategies are right for you. As in my last post… The data I’m using is from Allocate Smartly. I’ve taken return data for all the TAA strategies they track, 60/40, and the All Weather Portfolio (a globally diversified portfolio). Data is … Continue reading

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TAA strategy performance over time

In this post I’m going to take a look at performance as a whole of a group of TAA strategies and how that performance has varied over time. I’ll then compare it to the classic 60 40 US stock US bond portfolio and a more globally diversified and modern portfolio, the All Weather Portfolio. There’s some interesting things to note in the analysis. Let’s get to it. The data I’m using is from Allocate Smartly. I’ve taken return data for all the TAA strategies they track, 60/40, and the All Weather Portfolio (a globally diversified portfolio). Data is from 1970 through October … Continue reading

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Building a portfolio from individual quant strategies

In this post I want to briefly return to putting together quantitative strategies into a an overall portfolio. I wrote about this in 2014 but I have better tools and more data now. Basically let’s build a portfolio of quant strategies that reflects a typical 60/40 US stock US bond benchmark and compare portfolio statistics to the SP500 and to the 60/40 benchmark. First things first. Picking the quant strategies (you can find the background to all the strategies in the Portfolios section of the blog). You can definitely spend a ton of time here and go way off into … Continue reading

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Quant investing: making momentum tolerable

For today’ s post and the next few I’ll be going back to my favorite topic, quant investing. In this post I want to explore pure momentum quant portfolios and in particular ways to make pure momentum investing tolerable and implementable to more investors. Note: for a refresher on momentum and its power (arguably the most powerful factor in investing) see this great paper from AQR.  You may have noticed that none of the quant portfolios that I have presented on the blog are pure momentum strategies. Only two strategies, trending value and microcap trending value, use momentum to picks stocks … Continue reading

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Brief survey of expected return forecasts – nothing new

About once a year I go through various future expected return forecasts. Here are some recent updates on what the investment community is saying about future asset class returns, most of them focused on US stock returns, over the next 10 years. In short, nothing really new from last year, expect future returns to be lower, but worth a review Lets start with the folks at Research Affiliates. Here’s the scatter plot from their most recent update on forecasted 10 year real returns for various global asset classes. There’s various ways to look at the data which you can play … Continue reading

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TAA portfolios: Antonacci’s Composite Dual Momentum

Note: thanks to those who signed up to Allocate Smartly through my link. It’s provided a nice extra revenue stream that is much appreciated. One of the TAA strategies that I have often been asked about is Antonacci’s Composite Dual Momentum (ACDM from now on). I never got around to tracking or writing about it but now the the folks at Allocate Smartly have it covered. In this post I’ll highlight the key details of the strategy and it’s results using the recent blog post from Allocate Smartly. The ACDM strategy basically applies the dual momentum concept from Antonacci’s GEM strategy to … Continue reading

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Update on SPY-UI timing indicators

This post is a brief update of the SPY-UI indicators I reviewed in this post and this one. Refer back to both those posts for details on the two indicators I presented. Turns out we’re in the midst of a real time test of both of these indicators. As a quick reminder the basic SPY-UI indicator attempts to time the market by being risk on when the unemployment rate is below its 12 month simple moving average and by being risk off when the unemployment rate is above it’s 12 month simple moving average. The second, combo indicator, uses basic … Continue reading

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TAA portfolio tracking: turning it over to the pros

I knew this time would come eventually and here it is. Starting this month I will not be publishing any further tracking updates on TAA portfolios. Going forward I will be using and recommending Allocate Smartly for TAA portfolio tracking and implementation. Here’s the why and some details on the platform. The number of portfolios I was tracking and wanted to track, and the quality of the information I wanted to provide was proving to be a bit too much. Also, my interests lie more in how to use these portfolios, e.g. to optimize safe withdrawal rates, instead of the … Continue reading

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Quant strategies: Q3 2016 performance update

Here are the 2016 YTD total return (through the end of Q3) and max drawdown numbers for the various quant strategies I track. For explanations of the various quant strategies see the portfolios page. All equity portfolios consist of 25 stocks and were formed at the end of 2015. No changes in the holdings since that time (except for the TAA Bond strategy which re-balances every 4 weeks). In the table below I list various quant strategies along with their YTD performance and drawdowns. Also, listed are various benchmark indices. Similar to the 1H 2016 results, overall the 9 months of 2016 are … Continue reading

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Tactical asset allocation – oct 2016 update

Here is the very quick version of the tactical asset allocation update for Oct. Signals are valid for until the end of the month. Below is the snapshot for the AGG3, AGG6, and GTAA13 portfolios. The source data can be found here. One change for AGG3. VBK replaces VNQ. Two changes for AGG6. IAU and VEA replace VNQ and VGLT. For the Antonacci dual momentum GEM and GBM portfolios, GEM remains in SPY, and the bond portion of GBM is in CRED. The Antonacci tracking sheet shareable so you can see the portfolio details for yourself. The Bond 3 quant model, see spreadsheet, ranks the bond ETFs by 6 month … Continue reading

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