Correlation Between Fidelity Sai and Fidelity Managed
Can any of the company-specific risk be diversified away by investing in both Fidelity Sai and Fidelity Managed 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 Fidelity Managed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fidelity Sai Convertible and Fidelity Managed Retirement, you can compare the effects of market volatilities on Fidelity Sai and Fidelity Managed 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 Fidelity Managed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Sai and Fidelity Managed.
Diversification Opportunities for Fidelity Sai and Fidelity Managed
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Fidelity and Fidelity is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Sai Convertible and Fidelity Managed Retirement in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Managed Ret 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 Convertible are associated (or correlated) with Fidelity Managed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Managed Ret has no effect on the direction of Fidelity Sai i.e., Fidelity Sai and Fidelity Managed go up and down completely randomly.
Pair Corralation between Fidelity Sai and Fidelity Managed
Assuming the 90 days horizon Fidelity Sai Convertible is expected to generate 0.38 times more return on investment than Fidelity Managed. However, Fidelity Sai Convertible is 2.65 times less risky than Fidelity Managed. It trades about 0.45 of its potential returns per unit of risk. Fidelity Managed Retirement is currently generating about 0.04 per unit of risk. If you would invest 1,066 in Fidelity Sai Convertible on August 31, 2024 and sell it today you would earn a total of 29.00 from holding Fidelity Sai Convertible or generate 2.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Fidelity Sai Convertible vs. Fidelity Managed Retirement
Performance |
Timeline |
Fidelity Sai Convertible |
Fidelity Managed Ret |
Fidelity Sai and Fidelity Managed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fidelity Sai and Fidelity Managed
The main advantage of trading using opposite Fidelity Sai and Fidelity Managed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Sai position performs unexpectedly, Fidelity Managed 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 Fidelity Managed will offset losses from the drop in Fidelity Managed's long position.Fidelity Sai vs. Calamos Market Neutral | Fidelity Sai vs. Calamos Market Neutral | Fidelity Sai vs. Aqr Diversified Arbitrage | Fidelity Sai vs. Aqr Diversified Arbitrage |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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