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.
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 uses the signals from the iM-Best(SPY-SH) Market Timing System, substituting the Canadian ETF XIU for SPY and switches between XIU and Cash instead of SH. XIU tracks the S&P/TSX 60 Index and currency is Canadian Dollar.
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As the popularity of investing according to computerized algorithms increases, the question “When is it best to trade?” arises. Each investor has a different answers and opinion when it is best to trade. We approach this subject analytically to find a mathematical generated answer that is void of any emotions.
Using our three ETF models, Best(SPY-SH), Best1(Select SPDR) and Best(SSO-TLT) equal weighted in a combination model, we demonstrate that the combo would have produced high annualized returns of 34.3% with a low drawdown of -12.9% and low volatility. Additionally, due to the very high liquidity of its component ETFs, the combo could support a huge portfolio size.
Using a third party small-cap model from the web-based trading simulation platform in combination with our iM-Best(SPY-SH), we demonstrate the benefits of combining this model with iM-Best(SPY-SH), these include a reduced volatility, constant positive rolling returns, and high annualized returns with low drawdowns. The model was chosen because its algorithm does not include market-timing, and also because it holds 50 stocks, has a low annual turnover, and should be able to support a relatively high total portfolio size of $3.5-million on its own.
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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.
Using the simulated investment periods determined with the iM-Best(SPY-SH) Market Timing System, we calculated performance figures resulting from the model switching between the ETFs SSO and SDS, instead of SPY and SH. This alternative system would have produced an average annual return of about 55.6% from January 2000 to the end of August 2013, versus 2.6% for a buy-and-hold investment of SPY over the same period.
This binary model uses the signals from the iM-Best(SPY-SH) Market Timing System, and switches between SPY (SPDR® S&P 500® ETF) and Cash instead of SH. This model would have produced an average annual return of about 16.3% from January 2000 to the end of August 2013, versus 2.6% for a buy-and-hold investment of SPY over the same period, with maximum drawdowns of -15% and 55%, respectively.
This binary model switches between SPY (SPDR® S&P 500® ETF) and SH (ProShares Short S&P500 ETF) depending on market direction. Using a web-based trading simulation platform, our ranking system, and specific buy and sell rules, this model would have produced an average annual return of about 29.3% from January 2000 to end of August 2013, versus 2.6% for a buy-and-hold investment of SPY over the same period.