Correlation Between Fidelity Salem and Fidelity Mid
Can any of the company-specific risk be diversified away by investing in both Fidelity Salem and Fidelity Mid 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 Salem and Fidelity Mid into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fidelity Salem Street and Fidelity Mid Cap, you can compare the effects of market volatilities on Fidelity Salem and Fidelity Mid 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 Salem with a short position of Fidelity Mid. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fidelity Salem and Fidelity Mid.
Diversification Opportunities for Fidelity Salem and Fidelity Mid
-0.74 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Fidelity and Fidelity is -0.74. Overlapping area represents the amount of risk that can be diversified away by holding Fidelity Salem Street and Fidelity Mid Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Mid Cap and Fidelity Salem 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 Salem Street are associated (or correlated) with Fidelity Mid. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Mid Cap has no effect on the direction of Fidelity Salem i.e., Fidelity Salem and Fidelity Mid go up and down completely randomly.
Pair Corralation between Fidelity Salem and Fidelity Mid
Assuming the 90 days horizon Fidelity Salem Street is expected to under-perform the Fidelity Mid. In addition to that, Fidelity Salem is 1.01 times more volatile than Fidelity Mid Cap. It trades about -0.08 of its total potential returns per unit of risk. Fidelity Mid Cap is currently generating about 0.34 per unit of volatility. If you would invest 2,878 in Fidelity Mid Cap on September 2, 2024 and sell it today you would earn a total of 637.00 from holding Fidelity Mid Cap or generate 22.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Fidelity Salem Street vs. Fidelity Mid Cap
Performance |
Timeline |
Fidelity Salem Street |
Fidelity Mid Cap |
Fidelity Salem and Fidelity Mid Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fidelity Salem and Fidelity Mid
The main advantage of trading using opposite Fidelity Salem and Fidelity Mid positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fidelity Salem position performs unexpectedly, Fidelity Mid 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 Mid will offset losses from the drop in Fidelity Mid's long position.Fidelity Salem vs. Artisan Select Equity | Fidelity Salem vs. Ultra Short Fixed Income | Fidelity Salem vs. Calamos Global Equity | Fidelity Salem vs. Scharf Fund Retail |
Fidelity Mid vs. Fidelity Small Cap | Fidelity Mid vs. Fidelity Mid Cap | Fidelity Mid vs. Fidelity Large Cap | Fidelity Mid vs. Fidelity Small Cap |
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 Valuation module to check real value of public entities based on technical and fundamental data.
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