Minimum volatility ETFs should provide exposure to stocks with potentially less risk. They track indexes that try to capture the broad equity market with a reduced amount of volatility, seeking to benefit from what is known as low-volatility anomaly. Consequently they should show reduced losses during declining markets, but also reduced gains during rising markets. However, better returns with simultaneous tax efficiency can be obtained also during rising markets by selecting a number of the highest ranked stocks of a minimum volatility ETF and holding those positions for at least one year before new trades are initiated.
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Demonstrating the effect of hedging by using various percentages of the long portfolio value. The simulation is for the period Jan-2-2000 to April-1-2014.
This model is intended to be used hedging long market exposure, not as a stand-alone model. It periodically holds a maximum of 5 short positions of large-cap stocks. The model was backtested from Jan-2-2000 to May-4-2014 on the Portfolio123 simulation platform as a stand-alone-model and would have provided an annualized average return of 26.5% with a max drawdown of -22.7% over this period.
This model switches between SSO (ProShares Ultra two times daily S&P500 ETF) and TLT (iShares 20 Plus Year Treasury Bond ETF) depending on market direction. Using a web-based trading simulation platform and only market timing buy and sell rules in the algorithm, then this model would have produced an average annual return of about 38% from January 2000 to end of December 2013.
The iM-Best1(Sector SPDR) model periodically selects only one of the nine Select Sector SPDR® ETFs that divide the S&P500 into 9 sectors. During adverse market conditions it switches to SH, or partly to cash. This model would have produced an average annualized return of about 31.4% from January 2000 to end of September 2013.
Using the investment periods determined for the US market with the iM-Best(SPY-SH) Market Timing System, we calculated performance figures for 9 major country indices. The system, if followed, would have improved returns from all markets. From January 2000 to August 2013 with market timing, the best performing index in local currency was IBOVESPA – Brazil, and in US-dollars the DAX – Germany, closely followed by Brazil.