Category Archives for "Rotation"
I was working on another blog post when I saw this post Inferences From Backtest Results Are False Before Proven True on Price Action Lab. Mike has a challenge to replicate a very simple test. I often get email from people trying to replicate results from one of my blog posts and thought this would be fun to do. I cover some of this topic on my post Backtesting is Hard.
Today we have a guest post from David Weilmuenster who I worked with while at Connors Research.
A widely applied technique for scoring assets in rotational systems is to rank those assets by their price momentum, or return, over a given historical window and to rotate into the assets with higher momentum. This approach seeks to capitalize on the well-demonstrated tendency for price momentum to persist. But, it begs some questions:
The post ETF Sector Rotation generated good ideas on what to try differently. This post will research two ideas using Fidelity sector mutual funds. The previous post focused on two ideas on the Select Sector SPDR ETFs.
The post ETF Sector Rotation generated some good ideas on what to try differently. This post will focus on two ideas on the Select Sector SPDR ETFs. The next post will look at two ideas using Fidelity sector mutual funds.
My recent research has been in ETFs which I have not explored in several years. ETF sector rotation has always intrigued me. The idea seems so simple that it should work. Always be in the sector that has been doing the best. I like simple but does it work? If not, can we make it work?
One area of recent interest for me is trading rotational strategies on a monthly timeframe using S&P500 stocks and ETFs. Areas of exploration include Momentum and Dual Momentum. Recently I came across The Secret to Momentum is the 52-Week High??? on Alpha Architect, a blog I highly recommend on reading along with the quant mashup Quantocracy.. The article is a synopsis of research done comparing momentum vs. 52-week highs as ranking filters for a rotation strategy. A new idea I had not tried. What a great way to start the year, testing a new idea. Even though often they do not work out, one needs to be exploring all the time.
From my post on Heikin-Ashi Charts, another researcher wrote Luck: The Difference Between Hired or Fired about how luck of the draw could account for the difference in returns depending on the starting date. This is a completely valid question. Are three better returns for a strategy in a particular area of the month or is it random? I do believe that luck plays a large part in our trading results, which is a future blog post. But from previous work on 5 day holds, I know that the end of the month and beginning on the month tend to be better times for ETF mean reversion.
The ‘Intermediate Term Stock Rotation Strategy Using S&P500 Stocks’ post generated lots of reader suggestions on what to investigate further.
The ideas we will investigate are:
One of my research goals for this year is to find an intermediate term rotation strategy using S&P500 stocks. Then right on cue, I read the following post Intermediate momentum! which points to research Is momentum really momentum? by Robert Novy-Marx. In that he mentions that “intermediate horizon past performance, measured over the period from 12 to seven months prior, seems to better predict average returns than does recent past performance.” I have never tried an idea like this. In the blog comments, a user says he got great results using the current NDX100 stocks not the historical. This introduces pre-inclusion bias but maybe the results will still be good. What a great way to start the year with ideas I have never tested.
From the “Should You Buy the Best or Worst YTD Stocks” post, several readers made comments if one could make a monthly rotation system from this idea. From that post, buying either the strongest or weakest stocks out-performed the SPX with the weakest giving the best results. Will that be the case again?