Correlation Between Fidelity Asset and Simt Multi-asset
Can any of the company-specific risk be diversified away by investing in both Fidelity Asset 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 Fidelity Asset 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 Fidelity Asset Manager and Simt Multi Asset Capital, you can compare the effects of market volatilities on Fidelity Asset 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 Fidelity Asset with a short position of Simt Multi-asset. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Asset and Simt Multi-asset.
Diversification Opportunities for Fidelity Asset and Simt Multi-asset
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Fidelity and Simt is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Asset Manager and Simt Multi Asset Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Simt Multi Asset and Fidelity Asset 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 Fidelity Asset Manager 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 Fidelity Asset i.e., Fidelity Asset and Simt Multi-asset go up and down completely randomly.
Pair Corralation between Fidelity Asset and Simt Multi-asset
Assuming the 90 days horizon Fidelity Asset Manager is expected to generate 1.78 times more return on investment than Simt Multi-asset. However, Fidelity Asset is 1.78 times more volatile than Simt Multi Asset Capital. It trades about 0.3 of its potential returns per unit of risk. Simt Multi Asset Capital is currently generating about 0.32 per unit of risk. If you would invest 1,352 in Fidelity Asset Manager on April 26, 2025 and sell it today you would earn a total of 51.00 from holding Fidelity Asset Manager or generate 3.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Fidelity Asset Manager vs. Simt Multi Asset Capital
Performance |
Timeline |
Fidelity Asset Manager |
Simt Multi Asset |
Fidelity Asset and Simt Multi-asset Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fidelity Asset and Simt Multi-asset
The main advantage of trading using opposite Fidelity Asset and Simt Multi-asset positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Asset 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.Fidelity Asset vs. Fidelity Asset Manager | Fidelity Asset vs. Fidelity Asset Manager | Fidelity Asset vs. Fidelity Asset Manager | Fidelity Asset vs. Fidelity Government Income |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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