Correlation Between Saat Core and Simt Multi-asset
Can any of the company-specific risk be diversified away by investing in both Saat Core and Simt Multi-asset 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 Core and Simt Multi-asset into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Saat E Market and Simt Multi Asset Accumulation, you can compare the effects of market volatilities on Saat Core and Simt Multi-asset 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 Core with a short position of Simt Multi-asset. Check out your portfolio center. Please also check ongoing floating volatility patterns of Saat Core and Simt Multi-asset.
Diversification Opportunities for Saat Core and Simt Multi-asset
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Saat and Simt is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Saat E Market 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 Core 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 E Market are associated (or correlated) with Simt Multi-asset. 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 Core i.e., Saat Core and Simt Multi-asset go up and down completely randomly.
Pair Corralation between Saat Core and Simt Multi-asset
Assuming the 90 days horizon Saat E Market is expected to generate 0.93 times more return on investment than Simt Multi-asset. However, Saat E Market is 1.07 times less risky than Simt Multi-asset. It trades about 0.33 of its potential returns per unit of risk. Simt Multi Asset Accumulation is currently generating about 0.24 per unit of risk. If you would invest 1,244 in Saat E Market on April 25, 2025 and sell it today you would earn a total of 83.00 from holding Saat E Market or generate 6.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Saat E Market vs. Simt Multi Asset Accumulation
Performance |
Timeline |
Saat E Market |
Simt Multi Asset |
Saat Core and Simt Multi-asset Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Saat Core and Simt Multi-asset
The main advantage of trading using opposite Saat Core and Simt Multi-asset positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Saat Core position performs unexpectedly, Simt Multi-asset 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-asset will offset losses from the drop in Simt Multi-asset's long position.Saat Core vs. Lord Abbett Convertible | Saat Core vs. Fidelity Sai Convertible | Saat Core vs. Calamos Dynamic Convertible | Saat Core vs. Virtus Convertible |
Simt Multi-asset vs. Europac Gold Fund | Simt Multi-asset vs. Gabelli Gold Fund | Simt Multi-asset vs. Invesco Gold Special | Simt Multi-asset vs. Franklin Gold Precious |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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