Correlation Between Fidelity Sai and Massmutual Select
Can any of the company-specific risk be diversified away by investing in both Fidelity Sai and Massmutual Select 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 Massmutual Select 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 Massmutual Select Mid Cap, you can compare the effects of market volatilities on Fidelity Sai and Massmutual Select 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 Massmutual Select. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Sai and Massmutual Select.
Diversification Opportunities for Fidelity Sai and Massmutual Select
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Fidelity and Massmutual is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Sai Convertible and Massmutual Select Mid Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Massmutual Select Mid 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 Massmutual Select. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Massmutual Select Mid has no effect on the direction of Fidelity Sai i.e., Fidelity Sai and Massmutual Select go up and down completely randomly.
Pair Corralation between Fidelity Sai and Massmutual Select
Assuming the 90 days horizon Fidelity Sai Convertible is expected to generate 0.06 times more return on investment than Massmutual Select. However, Fidelity Sai Convertible is 17.04 times less risky than Massmutual Select. It trades about 0.43 of its potential returns per unit of risk. Massmutual Select Mid Cap is currently generating about -0.13 per unit of risk. If you would invest 1,029 in Fidelity Sai Convertible on October 20, 2024 and sell it today you would earn a total of 26.00 from holding Fidelity Sai Convertible or generate 2.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Fidelity Sai Convertible vs. Massmutual Select Mid Cap
Performance |
Timeline |
Fidelity Sai Convertible |
Massmutual Select Mid |
Fidelity Sai and Massmutual Select Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fidelity Sai and Massmutual Select
The main advantage of trading using opposite Fidelity Sai and Massmutual Select positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Sai position performs unexpectedly, Massmutual Select 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 Massmutual Select will offset losses from the drop in Massmutual Select's long position.Fidelity Sai vs. Blackrock Large Cap | Fidelity Sai vs. Fundamental Large Cap | Fidelity Sai vs. Profunds Large Cap Growth | Fidelity Sai vs. Smead Value Fund |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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