25% annual average return for Zacks Rank #1

The Zacks Rank is a proprietary quantitative model that uses four factors related to analyst earnings estimates to classify stocks into five groups ranging from “Strong Buy” (#1) to “Strong Sell” (#5). The four factors are Agreement, Magnitude, Upsi

de, & Surprise. Agreement is the extent to which all brokerage analysts are revising their EPS estimates in the same direction. When more analysts are revising estimates upward, the better the Zacks Rank will be. Magnitude measures the size of recent changes in the consensus estimate for the current fiscal year and the next fiscal year. For example, an earnings estimate revision that causes the consensus estimate to increase by 6% is a more powerful signal than an earnings estimate revision that causes a 2% rise in the consensus estimate. Upside is the difference between the most accurate estimate and the consensus estimate. Surprise is when the earnings reported in a company’s quarterly or annual report are above or below analysts’ earnings estimates. A company that reports a positive surprise for the most recent quarter is more likely to have a positive earnings surprise next quarter as well.

Using 4 week holding period returns, this strategy has produced a backtested annual average return of 25% from 2002-2010. Here are the annual details:

Zacks #1 Rank__________S&P 500

2002 celebrity nude 1% -22%

2003 lesbian porno 75% 29%

2004 29% 11%

2005 phone sex video 18% 5%

2006 24% 16%

2007 lesbian videos 20% 6%

2008 -41% -37%

2009 67% 26%

2010__30%_____________15%

Avg 25% 5%

Furthermore, the compounded annual growth rate for this time period is 18.5% and the backtested results of $10,000 invested at the end of 2001 are below:

The black porn videos Zacks Rank is available to Research Wizard subscribers. Please click here to learn more about the Research Wizard’s numerous buy priligy features and capabilities. To learn more about the Zacks Rank, please see Kevin Matras’ book titled Finding #1 Stocks: Screening, Backtesting and Time-Proven Strategies (Wiley 2011). Click here for Kevin’s book.


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