Correlation Between Artisan High and Federated Strategic
Can any of the company-specific risk be diversified away by investing in both Artisan High and Federated Strategic 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 Artisan High and Federated Strategic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Artisan High Income and Federated Strategic Value, you can compare the effects of market volatilities on Artisan High and Federated Strategic 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 Artisan High with a short position of Federated Strategic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Artisan High and Federated Strategic.
Diversification Opportunities for Artisan High and Federated Strategic
-0.25 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Artisan and Federated is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding Artisan High Income and Federated Strategic Value in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Strategic Value and Artisan High 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 Artisan High Income are associated (or correlated) with Federated Strategic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Strategic Value has no effect on the direction of Artisan High i.e., Artisan High and Federated Strategic go up and down completely randomly.
Pair Corralation between Artisan High and Federated Strategic
Assuming the 90 days horizon Artisan High Income is expected to generate 0.21 times more return on investment than Federated Strategic. However, Artisan High Income is 4.76 times less risky than Federated Strategic. It trades about -0.29 of its potential returns per unit of risk. Federated Strategic Value is currently generating about -0.22 per unit of risk. If you would invest 921.00 in Artisan High Income on October 11, 2024 and sell it today you would lose (8.00) from holding Artisan High Income or give up 0.87% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Artisan High Income vs. Federated Strategic Value
Performance |
Timeline |
Artisan High Income |
Federated Strategic Value |
Artisan High and Federated Strategic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Artisan High and Federated Strategic
The main advantage of trading using opposite Artisan High and Federated Strategic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Artisan High position performs unexpectedly, Federated Strategic 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 Strategic will offset losses from the drop in Federated Strategic's long position.Artisan High vs. T Rowe Price | Artisan High vs. Jhancock Diversified Macro | Artisan High vs. Fulcrum Diversified Absolute | Artisan High vs. Tax Managed Mid Small |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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