Correlation Between Elfun Diversified and Stringer Growth
Can any of the company-specific risk be diversified away by investing in both Elfun Diversified and Stringer Growth 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 Diversified and Stringer Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Elfun Diversified Fund and Stringer Growth Fund, you can compare the effects of market volatilities on Elfun Diversified and Stringer Growth 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 Diversified with a short position of Stringer Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Elfun Diversified and Stringer Growth.
Diversification Opportunities for Elfun Diversified and Stringer Growth
0.96 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Elfun and Stringer is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding Elfun Diversified Fund and Stringer Growth Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stringer Growth and Elfun Diversified 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 Diversified Fund are associated (or correlated) with Stringer Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stringer Growth has no effect on the direction of Elfun Diversified i.e., Elfun Diversified and Stringer Growth go up and down completely randomly.
Pair Corralation between Elfun Diversified and Stringer Growth
Assuming the 90 days horizon Elfun Diversified Fund is expected to generate 0.8 times more return on investment than Stringer Growth. However, Elfun Diversified Fund is 1.25 times less risky than Stringer Growth. It trades about 0.26 of its potential returns per unit of risk. Stringer Growth Fund is currently generating about 0.15 per unit of risk. If you would invest 2,108 in Elfun Diversified Fund on May 15, 2025 and sell it today you would earn a total of 129.00 from holding Elfun Diversified Fund or generate 6.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Elfun Diversified Fund vs. Stringer Growth Fund
Performance |
Timeline |
Elfun Diversified |
Stringer Growth |
Elfun Diversified and Stringer Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Elfun Diversified and Stringer Growth
The main advantage of trading using opposite Elfun Diversified and Stringer Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Elfun Diversified position performs unexpectedly, Stringer Growth 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 Stringer Growth will offset losses from the drop in Stringer Growth's long position.Elfun Diversified vs. Cohen Steers Real | Elfun Diversified vs. Real Estate Ultrasector | Elfun Diversified vs. Aew Real Estate | Elfun Diversified vs. Pender Real Estate |
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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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