Category Archives for "Rotation"

July 22, 2015

Multiple Time Frames for Scoring ETF Rotational Strategies

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:

  1. “What is an appropriate historical period for measuring price momentum?” Clearly, the momentum of a given asset can rank quite differently compared to the tradable universe over 1 month, 3 months, or 6 months.
  2. “Is one historical period sufficient?” If relative momentum can vary widely depending on the historical window, would it be better to consider multiple slices of history?
  3. Is higher momentum always preferable to lower momentum, especially if the system rules filter the tradable universe before scoring the ETFs for rotation?

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March 18, 2015

ETF Sector Rotation

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?

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January 14, 2015

Using 52-week highs in a S&P500 monthly rotation strategy

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.

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December 17, 2014

Day of month pattern or luck for a monthly ETF rotation strategy?

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.

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February 3, 2014

S&P500 Monthly Rotation-Readers’ Ideas

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:

  • Monthly rotation (instead of quarterly)
  • Using an additional filter to make sure the stock is healthy. These include
    • Close above 200 day moving average
    • Close above 50 day moving average
    • 50 day moving average above 200 day moving average
    • Stock return over look back period is positive
    • In the last 10 days the stock has made a 1 month high
    • In the last 10 days the stock has made a 3 month high
    • Maximum loss stops

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January 13, 2014

Intermediate Term Stock Rotation Strategy Using S&P500 Stocks

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.

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