Correlation Between Siit Global and Sterling Capital
Can any of the company-specific risk be diversified away by investing in both Siit Global and Sterling Capital 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 Global and Sterling Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siit Global Managed and Sterling Capital Special, you can compare the effects of market volatilities on Siit Global and Sterling Capital 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 Global with a short position of Sterling Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siit Global and Sterling Capital.
Diversification Opportunities for Siit Global and Sterling Capital
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Siit and Sterling is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Siit Global Managed and Sterling Capital Special in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sterling Capital Special and Siit Global 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 Global Managed are associated (or correlated) with Sterling Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sterling Capital Special has no effect on the direction of Siit Global i.e., Siit Global and Sterling Capital go up and down completely randomly.
Pair Corralation between Siit Global and Sterling Capital
Assuming the 90 days horizon Siit Global is expected to generate 1.83 times less return on investment than Sterling Capital. But when comparing it to its historical volatility, Siit Global Managed is 2.09 times less risky than Sterling Capital. It trades about 0.38 of its potential returns per unit of risk. Sterling Capital Special is currently generating about 0.33 of returns per unit of risk over similar time horizon. If you would invest 3,099 in Sterling Capital Special on September 4, 2024 and sell it today you would earn a total of 201.00 from holding Sterling Capital Special or generate 6.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.24% |
Values | Daily Returns |
Siit Global Managed vs. Sterling Capital Special
Performance |
Timeline |
Siit Global Managed |
Sterling Capital Special |
Siit Global and Sterling Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Siit Global and Sterling Capital
The main advantage of trading using opposite Siit Global and Sterling Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siit Global position performs unexpectedly, Sterling Capital 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 Sterling Capital will offset losses from the drop in Sterling Capital's long position.Siit Global vs. Us Government Securities | Siit Global vs. John Hancock Government | Siit Global vs. Blackrock Government Bond | Siit Global vs. Dws Government Money |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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