Correlation Between Us Vector and Utilities Fund
Can any of the company-specific risk be diversified away by investing in both Us Vector and Utilities Fund 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 Us Vector and Utilities Fund into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Us Vector Equity and Utilities Fund Class, you can compare the effects of market volatilities on Us Vector and Utilities Fund 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 Us Vector with a short position of Utilities Fund. Check out your portfolio center. Please also check ongoing floating volatility patterns of Us Vector and Utilities Fund.
Diversification Opportunities for Us Vector and Utilities Fund
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between DFVEX and Utilities is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Us Vector Equity and Utilities Fund Class in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Utilities Fund Class and Us Vector 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 Us Vector Equity are associated (or correlated) with Utilities Fund. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Utilities Fund Class has no effect on the direction of Us Vector i.e., Us Vector and Utilities Fund go up and down completely randomly.
Pair Corralation between Us Vector and Utilities Fund
Assuming the 90 days horizon Us Vector Equity is expected to generate 0.97 times more return on investment than Utilities Fund. However, Us Vector Equity is 1.03 times less risky than Utilities Fund. It trades about 0.16 of its potential returns per unit of risk. Utilities Fund Class is currently generating about 0.15 per unit of risk. If you would invest 2,695 in Us Vector Equity on May 15, 2025 and sell it today you would earn a total of 213.00 from holding Us Vector Equity or generate 7.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.39% |
Values | Daily Returns |
Us Vector Equity vs. Utilities Fund Class
Performance |
Timeline |
Us Vector Equity |
Utilities Fund Class |
Us Vector and Utilities Fund Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Us Vector and Utilities Fund
The main advantage of trading using opposite Us Vector and Utilities Fund positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Us Vector position performs unexpectedly, Utilities Fund 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 Utilities Fund will offset losses from the drop in Utilities Fund's long position.Us Vector vs. Short Duration Inflation | Us Vector vs. Inflation Linked Fixed Income | Us Vector vs. Great West Inflation Protected Securities | Us Vector vs. Cref Inflation Linked Bond |
Utilities Fund vs. Franklin Utilities Fund | Utilities Fund vs. Franklin Utilities Fund | Utilities Fund vs. Franklin Utilities | Utilities Fund vs. Franklin Utilities Fund |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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