Correlation Between Fidelity Sai and Simt Multi-asset
Can any of the company-specific risk be diversified away by investing in both Fidelity Sai 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 Sai 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 Sai Inflationfocused and Simt Multi Asset Inflation, you can compare the effects of market volatilities on Fidelity Sai 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 Sai with a short position of Simt Multi-asset. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Sai and Simt Multi-asset.
Diversification Opportunities for Fidelity Sai and Simt Multi-asset
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between FIDELITY and Simt is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Sai Inflationfocused and Simt Multi Asset Inflation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Simt Multi Asset and Fidelity Sai 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 Sai Inflationfocused 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 Sai i.e., Fidelity Sai and Simt Multi-asset go up and down completely randomly.
Pair Corralation between Fidelity Sai and Simt Multi-asset
Assuming the 90 days horizon Fidelity Sai Inflationfocused is expected to generate 5.47 times more return on investment than Simt Multi-asset. However, Fidelity Sai is 5.47 times more volatile than Simt Multi Asset Inflation. It trades about 0.15 of its potential returns per unit of risk. Simt Multi Asset Inflation is currently generating about 0.54 per unit of risk. If you would invest 8,641 in Fidelity Sai Inflationfocused on November 5, 2024 and sell it today you would earn a total of 249.00 from holding Fidelity Sai Inflationfocused or generate 2.88% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Fidelity Sai Inflationfocused vs. Simt Multi Asset Inflation
Performance |
| Timeline |
| Fidelity Sai Inflati |
| Simt Multi Asset |
Fidelity Sai and Simt Multi-asset Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Fidelity Sai and Simt Multi-asset
The main advantage of trading using opposite Fidelity Sai and Simt Multi-asset positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Sai 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 Sai vs. Asg Managed Futures | Fidelity Sai vs. Nationwide Inflation Protected Securities | Fidelity Sai vs. Pimco Inflation Response | Fidelity Sai vs. Ab Bond Inflation |
| Simt Multi-asset vs. Calvert Developed Market | Simt Multi-asset vs. Aqr Sustainable Long Short | Simt Multi-asset vs. Aqr Equity Market | Simt Multi-asset vs. Mid Cap 15x Strategy |
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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