Correlation Between Fs Multi-strategy and Fs Real
Can any of the company-specific risk be diversified away by investing in both Fs Multi-strategy and Fs Real 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 Fs Multi-strategy and Fs Real into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fs Multi Strategy Alt and Fs Real Asset, you can compare the effects of market volatilities on Fs Multi-strategy and Fs Real 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 Fs Multi-strategy with a short position of Fs Real. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fs Multi-strategy and Fs Real.
Diversification Opportunities for Fs Multi-strategy and Fs Real
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between FSMSX and FARLX is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding Fs Multi Strategy Alt and Fs Real Asset in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fs Real Asset and Fs Multi-strategy 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 Fs Multi Strategy Alt are associated (or correlated) with Fs Real. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fs Real Asset has no effect on the direction of Fs Multi-strategy i.e., Fs Multi-strategy and Fs Real go up and down completely randomly.
Pair Corralation between Fs Multi-strategy and Fs Real
Assuming the 90 days horizon Fs Multi Strategy Alt is expected to generate 0.14 times more return on investment than Fs Real. However, Fs Multi Strategy Alt is 7.33 times less risky than Fs Real. It trades about 0.2 of its potential returns per unit of risk. Fs Real Asset is currently generating about -0.07 per unit of risk. If you would invest 1,103 in Fs Multi Strategy Alt on October 20, 2024 and sell it today you would earn a total of 10.00 from holding Fs Multi Strategy Alt or generate 0.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Fs Multi Strategy Alt vs. Fs Real Asset
Performance |
Timeline |
Fs Multi Strategy |
Fs Real Asset |
Fs Multi-strategy and Fs Real Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fs Multi-strategy and Fs Real
The main advantage of trading using opposite Fs Multi-strategy and Fs Real positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fs Multi-strategy position performs unexpectedly, Fs Real 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 Fs Real will offset losses from the drop in Fs Real's long position.Fs Multi-strategy vs. Fs Real Asset | Fs Multi-strategy vs. Fs Multi Strategy Alt | Fs Multi-strategy vs. Fs Real Asset | Fs Multi-strategy vs. Siit High Yield |
Fs Real vs. Fs Multi Strategy Alt | Fs Real vs. Fs Multi Strategy Alt | Fs Real vs. Ms Global Fixed | Fs Real vs. Nuveen Symphony Credit |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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