Correlation Between Federated Kaufmann and Us Vector
Can any of the company-specific risk be diversified away by investing in both Federated Kaufmann and Us Vector 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 Federated Kaufmann and Us Vector into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Kaufmann Fund and Us Vector Equity, you can compare the effects of market volatilities on Federated Kaufmann and Us Vector 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 Federated Kaufmann with a short position of Us Vector. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Kaufmann and Us Vector.
Diversification Opportunities for Federated Kaufmann and Us Vector
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Federated and DFVEX is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Federated Kaufmann Fund and Us Vector Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Us Vector Equity and Federated Kaufmann 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 Federated Kaufmann Fund are associated (or correlated) with Us Vector. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Us Vector Equity has no effect on the direction of Federated Kaufmann i.e., Federated Kaufmann and Us Vector go up and down completely randomly.
Pair Corralation between Federated Kaufmann and Us Vector
Assuming the 90 days horizon Federated Kaufmann Fund is expected to generate 1.63 times more return on investment than Us Vector. However, Federated Kaufmann is 1.63 times more volatile than Us Vector Equity. It trades about 0.16 of its potential returns per unit of risk. Us Vector Equity is currently generating about 0.2 per unit of risk. If you would invest 375.00 in Federated Kaufmann Fund on November 3, 2024 and sell it today you would earn a total of 15.00 from holding Federated Kaufmann Fund or generate 4.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Federated Kaufmann Fund vs. Us Vector Equity
Performance |
Timeline |
Federated Kaufmann |
Us Vector Equity |
Federated Kaufmann and Us Vector Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated Kaufmann and Us Vector
The main advantage of trading using opposite Federated Kaufmann and Us Vector positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Kaufmann position performs unexpectedly, Us Vector 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 Us Vector will offset losses from the drop in Us Vector's long position.Federated Kaufmann vs. Eagle Mlp Strategy | Federated Kaufmann vs. Dodge Cox Emerging | Federated Kaufmann vs. Barings Emerging Markets | Federated Kaufmann vs. Doubleline Emerging Markets |
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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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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