Correlation Between Sterling Capital and Alger Spectra
Can any of the company-specific risk be diversified away by investing in both Sterling Capital and Alger Spectra 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 Alger Spectra into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sterling Capital Short and Alger Spectra Fund, you can compare the effects of market volatilities on Sterling Capital and Alger Spectra 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 Alger Spectra. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sterling Capital and Alger Spectra.
Diversification Opportunities for Sterling Capital and Alger Spectra
-0.69 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Sterling and Alger is -0.69. Overlapping area represents the amount of risk that can be diversified away by holding Sterling Capital Short and Alger Spectra Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alger Spectra 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 Short are associated (or correlated) with Alger Spectra. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alger Spectra has no effect on the direction of Sterling Capital i.e., Sterling Capital and Alger Spectra go up and down completely randomly.
Pair Corralation between Sterling Capital and Alger Spectra
Assuming the 90 days horizon Sterling Capital Short is expected to generate 0.06 times more return on investment than Alger Spectra. However, Sterling Capital Short is 16.78 times less risky than Alger Spectra. It trades about 0.21 of its potential returns per unit of risk. Alger Spectra Fund is currently generating about -0.1 per unit of risk. If you would invest 825.00 in Sterling Capital Short on December 29, 2024 and sell it today you would earn a total of 13.00 from holding Sterling Capital Short or generate 1.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sterling Capital Short vs. Alger Spectra Fund
Performance |
Timeline |
Sterling Capital Short |
Alger Spectra |
Sterling Capital and Alger Spectra Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sterling Capital and Alger Spectra
The main advantage of trading using opposite Sterling Capital and Alger Spectra positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sterling Capital position performs unexpectedly, Alger Spectra 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 Alger Spectra will offset losses from the drop in Alger Spectra's long position.Sterling Capital vs. Franklin Mutual Global | Sterling Capital vs. Ab Global Risk | Sterling Capital vs. Pnc Balanced Allocation | Sterling Capital vs. Qs Defensive Growth |
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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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
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