Correlation Between Elfun Trusts and Fidelity Large
Can any of the company-specific risk be diversified away by investing in both Elfun Trusts and Fidelity Large 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 Elfun Trusts and Fidelity Large into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Elfun Trusts Elfun and Fidelity Large Cap, you can compare the effects of market volatilities on Elfun Trusts and Fidelity Large 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 Elfun Trusts with a short position of Fidelity Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of Elfun Trusts and Fidelity Large.
Diversification Opportunities for Elfun Trusts and Fidelity Large
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Elfun and Fidelity is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Elfun Trusts Elfun and Fidelity Large Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Large Cap and Elfun Trusts 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 Elfun Trusts Elfun are associated (or correlated) with Fidelity Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Large Cap has no effect on the direction of Elfun Trusts i.e., Elfun Trusts and Fidelity Large go up and down completely randomly.
Pair Corralation between Elfun Trusts and Fidelity Large
Assuming the 90 days horizon Elfun Trusts is expected to generate 1.99 times less return on investment than Fidelity Large. In addition to that, Elfun Trusts is 1.31 times more volatile than Fidelity Large Cap. It trades about 0.14 of its total potential returns per unit of risk. Fidelity Large Cap is currently generating about 0.35 per unit of volatility. If you would invest 1,950 in Fidelity Large Cap on September 19, 2024 and sell it today you would earn a total of 178.00 from holding Fidelity Large Cap or generate 9.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 9.95% |
Values | Daily Returns |
Elfun Trusts Elfun vs. Fidelity Large Cap
Performance |
Timeline |
Elfun Trusts Elfun |
Fidelity Large Cap |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Elfun Trusts and Fidelity Large Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Elfun Trusts and Fidelity Large
The main advantage of trading using opposite Elfun Trusts and Fidelity Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Elfun Trusts position performs unexpectedly, Fidelity Large 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 Large will offset losses from the drop in Fidelity Large's long position.Elfun Trusts vs. State Street Target | Elfun Trusts vs. State Street Target | Elfun Trusts vs. Ssga International Stock | Elfun Trusts vs. State Street Target |
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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