Correlation Between Siit Ultra and Federated Kaufmann
Can any of the company-specific risk be diversified away by investing in both Siit Ultra and Federated Kaufmann 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 Ultra and Federated Kaufmann into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siit Ultra Short and Federated Kaufmann Fund, you can compare the effects of market volatilities on Siit Ultra and Federated Kaufmann 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 Ultra with a short position of Federated Kaufmann. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siit Ultra and Federated Kaufmann.
Diversification Opportunities for Siit Ultra and Federated Kaufmann
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between Siit and Federated is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding Siit Ultra Short and Federated Kaufmann Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Kaufmann and Siit Ultra 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 Ultra Short are associated (or correlated) with Federated Kaufmann. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Kaufmann has no effect on the direction of Siit Ultra i.e., Siit Ultra and Federated Kaufmann go up and down completely randomly.
Pair Corralation between Siit Ultra and Federated Kaufmann
Assuming the 90 days horizon Siit Ultra is expected to generate 1.74 times less return on investment than Federated Kaufmann. But when comparing it to its historical volatility, Siit Ultra Short is 10.65 times less risky than Federated Kaufmann. It trades about 0.21 of its potential returns per unit of risk. Federated Kaufmann Fund is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 482.00 in Federated Kaufmann Fund on October 11, 2024 and sell it today you would earn a total of 79.00 from holding Federated Kaufmann Fund or generate 16.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Siit Ultra Short vs. Federated Kaufmann Fund
Performance |
Timeline |
Siit Ultra Short |
Federated Kaufmann |
Siit Ultra and Federated Kaufmann Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Siit Ultra and Federated Kaufmann
The main advantage of trading using opposite Siit Ultra and Federated Kaufmann positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siit Ultra position performs unexpectedly, Federated Kaufmann 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 Federated Kaufmann will offset losses from the drop in Federated Kaufmann's long position.Siit Ultra vs. Omni Small Cap Value | Siit Ultra vs. Small Pany Growth | Siit Ultra vs. Rbc Microcap Value | Siit Ultra vs. Pabrai Wagons Institutional |
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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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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