Correlation Between Sterling Capital and Artisan High
Can any of the company-specific risk be diversified away by investing in both Sterling Capital and Artisan High 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 Sterling Capital and Artisan High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sterling Capital Stratton and Artisan High Income, you can compare the effects of market volatilities on Sterling Capital and Artisan High 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 Sterling Capital with a short position of Artisan High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sterling Capital and Artisan High.
Diversification Opportunities for Sterling Capital and Artisan High
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Sterling and Artisan is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Sterling Capital Stratton and Artisan High Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Artisan High Income and Sterling Capital 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 Sterling Capital Stratton are associated (or correlated) with Artisan High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Artisan High Income has no effect on the direction of Sterling Capital i.e., Sterling Capital and Artisan High go up and down completely randomly.
Pair Corralation between Sterling Capital and Artisan High
Assuming the 90 days horizon Sterling Capital is expected to generate 21.19 times less return on investment than Artisan High. In addition to that, Sterling Capital is 5.81 times more volatile than Artisan High Income. It trades about 0.0 of its total potential returns per unit of risk. Artisan High Income is currently generating about 0.29 per unit of volatility. If you would invest 906.00 in Artisan High Income on October 23, 2024 and sell it today you would earn a total of 9.00 from holding Artisan High Income or generate 0.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sterling Capital Stratton vs. Artisan High Income
Performance |
Timeline |
Sterling Capital Stratton |
Artisan High Income |
Sterling Capital and Artisan High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sterling Capital and Artisan High
The main advantage of trading using opposite Sterling Capital and Artisan High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sterling Capital position performs unexpectedly, Artisan High 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 Artisan High will offset losses from the drop in Artisan High's long position.Sterling Capital vs. Us Vector Equity | Sterling Capital vs. Old Westbury Fixed | Sterling Capital vs. Doubleline Core Fixed | Sterling Capital vs. Greenspring Fund Retail |
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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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