Correlation Between Simt Us and Simt Multi
Can any of the company-specific risk be diversified away by investing in both Simt Us 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 Simt Us and Simt Multi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Simt Managed Volatility and Simt Multi Asset Accumulation, you can compare the effects of market volatilities on Simt Us 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 Simt Us with a short position of Simt Multi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Simt Us and Simt Multi.
Diversification Opportunities for Simt Us and Simt Multi
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Simt and Simt is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Simt Managed Volatility 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 Simt Us 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 Simt Managed Volatility 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 Simt Us i.e., Simt Us and Simt Multi go up and down completely randomly.
Pair Corralation between Simt Us and Simt Multi
Assuming the 90 days horizon Simt Managed Volatility is expected to generate 1.77 times more return on investment than Simt Multi. However, Simt Us is 1.77 times more volatile than Simt Multi Asset Accumulation. It trades about 0.21 of its potential returns per unit of risk. Simt Multi Asset Accumulation is currently generating about 0.28 per unit of risk. If you would invest 1,347 in Simt Managed Volatility on April 19, 2025 and sell it today you would earn a total of 122.00 from holding Simt Managed Volatility or generate 9.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.39% |
Values | Daily Returns |
Simt Managed Volatility vs. Simt Multi Asset Accumulation
Performance |
Timeline |
Simt Managed Volatility |
Simt Multi Asset |
Simt Us and Simt Multi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Simt Us and Simt Multi
The main advantage of trading using opposite Simt Us and Simt Multi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Simt Us 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.Simt Us vs. Simt Global Managed | Simt Us vs. Simt High Yield | Simt Us vs. Sdit Short Duration | Simt Us vs. Simt Real Return |
Simt Multi vs. Semiconductor Ultrasector Profund | Simt Multi vs. Doubleline Emerging Markets | Simt Multi vs. Vanguard Global Equity | Simt Multi vs. Shelton Emerging Markets |
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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