Correlation Between Siit Screened and Siit Small
Can any of the company-specific risk be diversified away by investing in both Siit Screened and Siit Small at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Siit Screened and Siit Small into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siit Screened World and  Siit Small Cap, you can compare the effects of market volatilities on Siit Screened and Siit Small and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Siit Screened with a short position of Siit Small. Check out  your portfolio center. Please also check ongoing floating volatility patterns of Siit Screened and Siit Small.
	
Diversification Opportunities for Siit Screened and Siit Small
0.89  | Correlation Coefficient | 
Very poor diversification
The 3 months correlation between Siit and Siit is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Siit Screened World and Siit Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Siit Small Cap and Siit Screened is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Siit Screened World are associated (or correlated) with Siit Small. Values of the correlation coefficient range from -1 to +1, where. The  correlation of zero (0) is possible when the price movement of Siit Small Cap has no effect on the direction of Siit Screened i.e., Siit Screened and Siit Small go up and down completely randomly.
Pair Corralation between Siit Screened and Siit Small
Assuming the 90 days horizon Siit Screened World is expected to generate 0.59 times more return on investment than Siit Small.  However, Siit Screened World is 1.7 times less risky than Siit Small.  It trades about -0.02 of its potential returns per unit of risk. Siit Small Cap is currently generating about -0.04 per unit of risk.  If you would invest  1,370  in Siit Screened World on August 6, 2025 and sell it today you would lose (6.00) from holding Siit Screened World or give up 0.44% of portfolio value  over 90 days. 
| Time Period | 3 Months [change] | 
| Direction | Moves Together | 
| Strength | Strong | 
| Accuracy | 100.0% | 
| Values | Daily Returns | 
Siit Screened World vs. Siit Small Cap
 Performance   | 
| Timeline | 
| Siit Screened World | 
| Siit Small Cap | 
Siit Screened and Siit Small Volatility Contrast
   Predicted Return Density     | 
| Returns | 
Pair Trading with Siit Screened and Siit Small
The main advantage of trading using opposite Siit Screened and Siit Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siit Screened position performs unexpectedly, Siit Small can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Siit Small will offset losses from the drop in Siit Small's long position.| Siit Screened vs. Mainstay Moderate Etf | Siit Screened vs. Target Retirement 2040 | Siit Screened vs. Dimensional Retirement Income | Siit Screened vs. Voya Target Retirement | 
| Siit Small vs. Gmo High Yield | Siit Small vs. Artisan High Income | Siit Small vs. California High Yield Municipal | Siit Small vs. Janus High Yield Fund | 
Check out  your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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