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I have given a 2-part interview (here and here) on the various nuances of backtesting on tradingmarkets.com. Most of the ideas have been covered in my book, but it does serve as a summary of what I consider to be the most important issues.
For those of you who are interested, I may be giving a workshop on general techniques in backtesting in London as well, in addition to my pairs trading workshop. Additional details will be available on epchan.com at a later date.
Are Triple Leveraged ETFs suitable for long-term holding?
Triple leveraged ETFs marketed by Direxion have been all the rage lately. The fund management company says that they do not recommend buying and holding these ETFs. But is there any mathematical justification for this caution?
Before I answer this, it is interesting to note that these ETFs (e.g. BGU is 3x Russell 1000, TNA is 3x Russell 2000) are managed as constant rebalanced portfolios, a concept I discussed before. In other words, the fund manager has to sell stocks (or futures) when there is a loss, and buy stocks (or futures) when there is a gain in the market value of the portfolio, in order to maintain a constant leverage ratio of 3. This is also identical to what Kelly formula would prescribe, a methodology discussed extensively in my book, if the optimal leverage f were indeed 3.
However, the optimal f for such market indices are quite a bit lower than 3. Both Russell 1000 and 2000 have f at about 1.8. This means that since the funds are leveraged at 3, there is a real possibility that sustained losses could ruin the funds (i.e. NAV going to zero unless new capital is injected, which, er..., reminds me of a Ponzi scheme). So I would argue that not only should an investor not hold these funds for the long term, the funds themselves should not be leveraged at this level. Otherwise, it is a disaster waiting to happen.
Before I answer this, it is interesting to note that these ETFs (e.g. BGU is 3x Russell 1000, TNA is 3x Russell 2000) are managed as constant rebalanced portfolios, a concept I discussed before. In other words, the fund manager has to sell stocks (or futures) when there is a loss, and buy stocks (or futures) when there is a gain in the market value of the portfolio, in order to maintain a constant leverage ratio of 3. This is also identical to what Kelly formula would prescribe, a methodology discussed extensively in my book, if the optimal leverage f were indeed 3.
However, the optimal f for such market indices are quite a bit lower than 3. Both Russell 1000 and 2000 have f at about 1.8. This means that since the funds are leveraged at 3, there is a real possibility that sustained losses could ruin the funds (i.e. NAV going to zero unless new capital is injected, which, er..., reminds me of a Ponzi scheme). So I would argue that not only should an investor not hold these funds for the long term, the funds themselves should not be leveraged at this level. Otherwise, it is a disaster waiting to happen.
A free Matlab-to-Interactive Brokers API
For readers who do not want to pay for a commercial Matlab2IB API, Max Dama has put together a free alternative. Domenic has provided some additional sample Matlab codes for trading.
A user of the commercial product that I previously mentioned reports that "My problem with the matlab2ib product was that it did not have a function for all the Active X methods. ( for example the Market Scanners, Real time Bars and Fundamental Data methods are missing). I also had issues when I tried to steam in trades data(I'm not sure if the matlab2ib product allows you to even do this?)." Apparently Max's API has included these methods, though I have not personally tried them.
A user of the commercial product that I previously mentioned reports that "My problem with the matlab2ib product was that it did not have a function for all the Active X methods. ( for example the Market Scanners, Real time Bars and Fundamental Data methods are missing). I also had issues when I tried to steam in trades data(I'm not sure if the matlab2ib product allows you to even do this?)." Apparently Max's API has included these methods, though I have not personally tried them.
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