Correlation Between Simt Multi and Real Assets
Can any of the company-specific risk be diversified away by investing in both Simt Multi and Real Assets 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 Multi and Real Assets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Simt Multi Asset Inflation and Real Assets Portfolio, you can compare the effects of market volatilities on Simt Multi and Real Assets 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 Multi with a short position of Real Assets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Simt Multi and Real Assets.
Diversification Opportunities for Simt Multi and Real Assets
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Simt and Real is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Simt Multi Asset Inflation and Real Assets Portfolio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Real Assets Portfolio and Simt Multi 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 Multi Asset Inflation are associated (or correlated) with Real Assets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Real Assets Portfolio has no effect on the direction of Simt Multi i.e., Simt Multi and Real Assets go up and down completely randomly.
Pair Corralation between Simt Multi and Real Assets
Assuming the 90 days horizon Simt Multi Asset Inflation is expected to generate 0.43 times more return on investment than Real Assets. However, Simt Multi Asset Inflation is 2.3 times less risky than Real Assets. It trades about 0.01 of its potential returns per unit of risk. Real Assets Portfolio is currently generating about -0.02 per unit of risk. If you would invest 762.00 in Simt Multi Asset Inflation on October 4, 2024 and sell it today you would earn a total of 5.00 from holding Simt Multi Asset Inflation or generate 0.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.7% |
Values | Daily Returns |
Simt Multi Asset Inflation vs. Real Assets Portfolio
Performance |
Timeline |
Simt Multi Asset |
Real Assets Portfolio |
Simt Multi and Real Assets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Simt Multi and Real Assets
The main advantage of trading using opposite Simt Multi and Real Assets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Simt Multi position performs unexpectedly, Real Assets 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 Real Assets will offset losses from the drop in Real Assets' long position.Simt Multi vs. Pace Large Value | Simt Multi vs. Qs Large Cap | Simt Multi vs. Qs Large Cap | Simt Multi vs. M Large Cap |
Real Assets vs. Emerging Markets Equity | Real Assets vs. Global Fixed Income | Real Assets vs. Global Fixed Income | Real Assets vs. Global Fixed Income |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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