DonateIf the information I provide on the blog is useful to you and has been helpful, feel free to tip the beer fund!! I love me some fine craft beer...
Subscribe to Blog via Email
Follow me on TwitterMy Tweets
- Full Disclaimer - Nothing on this site should ever be considered advice, research or the invitation to buy or sell securities. These are my personal opinions only.
Tag Archives: Quantitative Investing
Update: I updated the charts and some of the performance results on March 28, 2017. I found and corrected an error in the performance calculations. Conclusions remain the same. It’s finally time to start turning all the economic indicator stuff I’ve been posting on into something useful for investors. In this post I’ll introduce the SPY-COMP indicator and how it works as tool for entering and exiting investments. The mechanics of the SPY-COMP system are similar to the SPY-UI system I’ve posted on previously. The only difference is that the new system uses a composite of the top 6 economic … Continue reading
The performance of value factors varies over time. Sometimes value is in favor. Sometimes it is out of favor. But overall value overall is one of the two single factors, along with momentum, that has withstood the test of time. But what if one way of expressing value in stocks has simply stopped working or is just nor working as well as in the past? That’s is what I’ll consider in this brief post. In particular, I’ll look at whether it is still worthwhile to use P/B in individual quant stock portfolios. Many of the quant stock models discussed on … Continue reading
Recently, Jim O’Shaughnessy, the author of What Works On Wall Street, took to Twitter with his first tweet storm (basically a short post in a series of tweets). In it he spoke about his thoughts on active management. I thought I should capture it for future reference. I’ll add comments and links throughout. What Works On Wall Street (4th edition) is basically 681 pages on a handful of factors; mainly value and momentum, with minor roles played by small-cap, equal-weighting, and quality. The lack of ability to focus on the long term is the number one behavioral issue that prevents … Continue reading
Note: All the data tables have been updated to include the TAA bond strategy. Thanks to AllocateSmartly, P123, and Stockcharts.com, I was able to gather 2016 performance data much sooner than last year. This post updates the portfolio statistics, through 2016, for all the various portfolios I track that I have data for going back to 1973. It is not comprehensive by any means but contains a good sample of various diversified global buy and hold portfolios, tactical asset allocation portfolios, and quant portfolios, as well as the popular benchmarks, in particular the 60/40 portfolio for US investors. Last year’s … Continue reading
Happy New Year everyone! Hope you all had a great holiday season full of great food, family, and a lack of financial market news and data. I just returned from two weeks with my entire family, plus my wife’s family, down in Coconut Grove, Fl in a great Airbnb rental. It provided a much needed rest and re-charge particularly from the markets. Now, its time to get back to business in 2017. For the first couple of posts this year I’ll do some looking back at 2016 performance. Today I’ll cover 2016 total returns for the various quant strategies I … Continue reading
I was going to title this post something like ‘bond quant performance during the bond meltdown’ or something a bit more hyperbolic than the current title. But there’s enough hyperbole in the financial news without me adding to the mix. Just google ‘bond meltdown’ and you’ll see what I mean. Anyway, in this post I want to take a quick look at how the Bond Quant model has performed during the recent bond selloff. I’ll look at performance from the end of 2015 through yesterday. First, let’s take a look at some benchmarks for broad bond portfolios. Here’s the YTD … Continue reading
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
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
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
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