Correlation Between Saat Conservative and Simt Multi
Can any of the company-specific risk be diversified away by investing in both Saat Conservative and Simt Multi 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 Conservative and Simt Multi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Saat Servative Strategy and Simt Multi Asset Accumulation, you can compare the effects of market volatilities on Saat Conservative and Simt Multi 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 Conservative with a short position of Simt Multi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Saat Conservative and Simt Multi.
Diversification Opportunities for Saat Conservative and Simt Multi
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Saat and Simt is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Saat Servative Strategy and Simt Multi Asset Accumulation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Simt Multi Asset and Saat Conservative 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 Servative Strategy are associated (or correlated) with Simt Multi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Simt Multi Asset has no effect on the direction of Saat Conservative i.e., Saat Conservative and Simt Multi go up and down completely randomly.
Pair Corralation between Saat Conservative and Simt Multi
Assuming the 90 days horizon Saat Conservative is expected to generate 2.96 times less return on investment than Simt Multi. But when comparing it to its historical volatility, Saat Servative Strategy is 1.06 times less risky than Simt Multi. It trades about 0.01 of its potential returns per unit of risk. Simt Multi Asset Accumulation is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 718.00 in Simt Multi Asset Accumulation on November 2, 2024 and sell it today you would earn a total of 14.00 from holding Simt Multi Asset Accumulation or generate 1.95% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Saat Servative Strategy vs. Simt Multi Asset Accumulation
Performance |
| Timeline |
| Saat Servative Strategy |
| Simt Multi Asset |
Saat Conservative and Simt Multi Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Saat Conservative and Simt Multi
The main advantage of trading using opposite Saat Conservative and Simt Multi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Saat Conservative position performs unexpectedly, Simt Multi 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 Multi will offset losses from the drop in Simt Multi's long position.| Saat Conservative vs. Simt Multi Asset Accumulation | Saat Conservative vs. Saat Market Growth | Saat Conservative vs. Simt Real Return | Saat Conservative vs. Simt Small Cap |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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