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Category Archives: Quant Investing
Keep it sweet and simple. That’s the fit-for-publishing version of KISS. And it is critical for being successful in the long term with quant investing. The biggest mistake I see new quant investors make is over complicating things. This just leads to failure. By focusing on a few high impact factors a quant strategy can still significantly outperform while being relatively easy to maintain. In today’s post I will present a KISS quant strategy has provided plenty of outperformance while being easy to maintain. Before I dive into the KISS quant strategy let me throw some stats at you. I … Continue reading
What would you think of a quant strategy that only invests in the most profitable companies? Would it under perform the market or beat the market? If you’re an efficient market person you may think that higher profitability must be priced into equities and therefore at best the strategy would match the market. Not so. Turns out that profitability is quite a durable factor and is only beaten by momentum and value. In this post I’ll take a look at some of the data on the profitability factor and how it can be applied in a simple quant strategy. First, … Continue reading
It’s time to get back to talking about quant portfolios. I haven’t posted on any quant related stuff in a while. Doesn’t mean anything. I’ve just been focused on other things. And my quant portfolios require very little maintenance so once they’re up and running there is not much to do. At least there shouldn’t be much to do. The temptation to fiddle and tweak is quite strong but usually leads to worse results in my experience. Anyway I have some more quant posts coming out over the next few weeks which will kind of re-balance the postings in the … Continue reading
In quant investing there is always an urge to continuously look for ways to improve a model. Trying better ways of doing things can be a worthy and profitable endeavor. After all, markets do change. You learn new things, etc… But it can also be fraught with pitfalls. Data mining is a constant worry. With these caveats in mind in this post I’ll take a look at a potential new value composite metric and it’s performance over the last 16 years. My idea for a new value composite comes from Professor Damodaran at NYU, his blog is at Musing on Markets. His academic … Continue reading
Here are the Q1 2017 total return 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 2016. 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. All performance numbers are from Portfolio123.com. Overall, the equity quant strategies underperformed both domestic and foreign stock … 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
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