Category Archives for "ETFs"
I have done several posts about trading XIV & VXX. In these posts (here, here and here) I refer to using synthetic data before these ETFs started trading. I supported the use of the data due to the very high correlation of daily returns during the overlap period. With a correlation of .97, I thought great the data should be good to use for backtesting.
My recent research has been on the volatility Exchange Traded Products. My focus has been on long trades using VXX and XIV. Although VXX has a very strong downtrend, I am not a fan of developing short strategies on it due to the huge upside risk. I wrote about XIV here and expressed some of the dangers of trading these ETFs.
In the book, Short Term Trading Strategies that Work, which Larry Connors and I published in early 2008, we wrote about a simple strategy called “Double 7’s Strategy.” Through the years people often ask about this strategy. Does something that simple really work? How does it do in a portfolio? Does the concept work on stocks? Today, we will be answering these questions.
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:
A research friend recently sent me a link to The #1 Stock In The World. Besides being a blatant title to get one’s attention (and it worked on me), I found the idea interesting along with my research friends. I have been trying to add either XIV or VXX to my trading in some small way. The article is only doing a buy and hold on XIV but it peaked my interest to try some other ideas.
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.
A popular topic lately has been “Smart beta” ETFs. What is smart beta? It is using different ways to weight an index and the ETF that tracks it. For example, the S&P500 index is a capitalization weighted index. Bigger companies have a larger portion of the index. If you look at the SPY, Apple which is the largest company, accounts for 4% of the index (https://www.spdrs.com/product/fund.seam?ticker=spy). Other ways one can weight an index are equal weight, by volatility, by fundamental measures, by technical measures and so on. Why would you do this? To beat the returns of the S&P500 index . But are these other ways better?
David Weilmuenster is today’s guest author. David and I worked together at Connors Research for eight years and is one great researcher and AmiBroker programmer.
Brochures for professionally managed investments and academic white papers on long term investing almost always praise the benefits of regularly re-balancing a portfolio. The benefits can arise from the interaction, or correlation, of periodic returns among the constituent assets in a portfolio. As the correlations among constituent assets decrease, the long term returns of the overall portfolio generally will increase with regular re-balancing. This has become known as “the only free lunch in investing”, although it does not work out that way in all situations.