Correlation Between Siit Screened and Simt Large
Can any of the company-specific risk be diversified away by investing in both Siit Screened and Simt Large 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 Simt Large 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 Simt Large Cap, you can compare the effects of market volatilities on Siit Screened and Simt Large 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 Simt Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siit Screened and Simt Large.
Diversification Opportunities for Siit Screened and Simt Large
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Siit and Simt is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Siit Screened World and Simt Large Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Simt Large 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 Simt Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Simt Large Cap has no effect on the direction of Siit Screened i.e., Siit Screened and Simt Large go up and down completely randomly.
Pair Corralation between Siit Screened and Simt Large
Assuming the 90 days horizon Siit Screened is expected to generate 1.53 times less return on investment than Simt Large. But when comparing it to its historical volatility, Siit Screened World is 1.0 times less risky than Simt Large. It trades about 0.02 of its potential returns per unit of risk. Simt Large Cap is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 2,824 in Simt Large Cap on August 26, 2025 and sell it today you would earn a total of 35.00 from holding Simt Large Cap or generate 1.24% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Siit Screened World vs. Simt Large Cap
Performance |
| Timeline |
| Siit Screened World |
| Simt Large Cap |
Siit Screened and Simt Large Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Siit Screened and Simt Large
The main advantage of trading using opposite Siit Screened and Simt Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siit Screened position performs unexpectedly, Simt Large 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 Simt Large will offset losses from the drop in Simt Large's long position.| Siit Screened vs. Putnam Global Technology | Siit Screened vs. Red Oak Technology | Siit Screened vs. Franklin Biotechnology Discovery | Siit Screened vs. Mfs Technology Fund |
| Simt Large vs. John Hancock Money | Simt Large vs. Matson Money Equity | Simt Large vs. Profunds Money | Simt Large vs. Blackrock Exchange Portfolio |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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