Correlation Between Siit Us and Elfun Diversified
Can any of the company-specific risk be diversified away by investing in both Siit Us and Elfun Diversified 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 Siit Us and Elfun Diversified into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siit Equity Factor and Elfun Diversified Fund, you can compare the effects of market volatilities on Siit Us and Elfun Diversified 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 Siit Us with a short position of Elfun Diversified. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siit Us and Elfun Diversified.
Diversification Opportunities for Siit Us and Elfun Diversified
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Siit and Elfun is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Siit Equity Factor and Elfun Diversified Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Elfun Diversified and Siit Us 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 Siit Equity Factor are associated (or correlated) with Elfun Diversified. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Elfun Diversified has no effect on the direction of Siit Us i.e., Siit Us and Elfun Diversified go up and down completely randomly.
Pair Corralation between Siit Us and Elfun Diversified
Assuming the 90 days horizon Siit Equity Factor is expected to generate 1.9 times more return on investment than Elfun Diversified. However, Siit Us is 1.9 times more volatile than Elfun Diversified Fund. It trades about 0.0 of its potential returns per unit of risk. Elfun Diversified Fund is currently generating about -0.04 per unit of risk. If you would invest 1,515 in Siit Equity Factor on October 26, 2024 and sell it today you would lose (8.00) from holding Siit Equity Factor or give up 0.53% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Siit Equity Factor vs. Elfun Diversified Fund
Performance |
Timeline |
Siit Equity Factor |
Elfun Diversified |
Siit Us and Elfun Diversified Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Siit Us and Elfun Diversified
The main advantage of trading using opposite Siit Us and Elfun Diversified positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siit Us position performs unexpectedly, Elfun Diversified 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 Elfun Diversified will offset losses from the drop in Elfun Diversified's long position.Siit Us vs. Embark Commodity Strategy | Siit Us vs. Balanced Strategy Fund | Siit Us vs. Eagle Mlp Strategy | Siit Us vs. Wasatch Frontier Emerging |
Elfun Diversified vs. Short Precious Metals | Elfun Diversified vs. Goldman Sachs Strategic | Elfun Diversified vs. Gabelli Gold Fund | Elfun Diversified vs. James Balanced Golden |
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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