Correlation Between Saat Aggressive and Siit Core
Can any of the company-specific risk be diversified away by investing in both Saat Aggressive and Siit Core 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 Saat Aggressive and Siit Core into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Saat Aggressive Strategy and Siit E Fixed, you can compare the effects of market volatilities on Saat Aggressive and Siit Core 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 Saat Aggressive with a short position of Siit Core. Check out your portfolio center. Please also check ongoing floating volatility patterns of Saat Aggressive and Siit Core.
Diversification Opportunities for Saat Aggressive and Siit Core
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Saat and Siit is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Saat Aggressive Strategy and Siit E Fixed in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Siit E Fixed and Saat Aggressive 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 Saat Aggressive Strategy are associated (or correlated) with Siit Core. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Siit E Fixed has no effect on the direction of Saat Aggressive i.e., Saat Aggressive and Siit Core go up and down completely randomly.
Pair Corralation between Saat Aggressive and Siit Core
Assuming the 90 days horizon Saat Aggressive Strategy is expected to generate 1.89 times more return on investment than Siit Core. However, Saat Aggressive is 1.89 times more volatile than Siit E Fixed. It trades about 0.18 of its potential returns per unit of risk. Siit E Fixed is currently generating about 0.11 per unit of risk. If you would invest 1,483 in Saat Aggressive Strategy on June 5, 2025 and sell it today you would earn a total of 90.00 from holding Saat Aggressive Strategy or generate 6.07% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Saat Aggressive Strategy vs. Siit E Fixed
Performance |
| Timeline |
| Saat Aggressive Strategy |
| Siit E Fixed |
Saat Aggressive and Siit Core Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Saat Aggressive and Siit Core
The main advantage of trading using opposite Saat Aggressive and Siit Core positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Saat Aggressive position performs unexpectedly, Siit Core 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 Core will offset losses from the drop in Siit Core's long position.| Saat Aggressive vs. Federated Global Allocation | Saat Aggressive vs. Simt Sp 500 | Saat Aggressive vs. Simt Large Cap | Saat Aggressive vs. Sentinel Balanced Fund |
| Siit Core vs. Trowe Price Retirement | Siit Core vs. Cornerstone Moderately Aggressive | Siit Core vs. Moderate Balanced Allocation | Siit Core vs. Sierra E Retirement |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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