Correlation Between Sterling Capital and Great-west Loomis
Can any of the company-specific risk be diversified away by investing in both Sterling Capital and Great-west Loomis 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 Great-west Loomis into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sterling Capital Behavioral and Great West Loomis Sayles, you can compare the effects of market volatilities on Sterling Capital and Great-west Loomis 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 Great-west Loomis. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sterling Capital and Great-west Loomis.
Diversification Opportunities for Sterling Capital and Great-west Loomis
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Sterling and Great-west is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding Sterling Capital Behavioral and Great West Loomis Sayles in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Great West Loomis 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 Behavioral are associated (or correlated) with Great-west Loomis. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Great West Loomis has no effect on the direction of Sterling Capital i.e., Sterling Capital and Great-west Loomis go up and down completely randomly.
Pair Corralation between Sterling Capital and Great-west Loomis
Assuming the 90 days horizon Sterling Capital Behavioral is expected to under-perform the Great-west Loomis. In addition to that, Sterling Capital is 1.08 times more volatile than Great West Loomis Sayles. It trades about -0.01 of its total potential returns per unit of risk. Great West Loomis Sayles is currently generating about 0.01 per unit of volatility. If you would invest 3,623 in Great West Loomis Sayles on December 5, 2024 and sell it today you would lose (3.00) from holding Great West Loomis Sayles or give up 0.08% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 99.6% |
Values | Daily Returns |
Sterling Capital Behavioral vs. Great West Loomis Sayles
Performance |
Timeline |
Sterling Capital Beh |
Great West Loomis |
Sterling Capital and Great-west Loomis Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sterling Capital and Great-west Loomis
The main advantage of trading using opposite Sterling Capital and Great-west Loomis positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sterling Capital position performs unexpectedly, Great-west Loomis 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 Great-west Loomis will offset losses from the drop in Great-west Loomis' long position.Sterling Capital vs. First American Funds | Sterling Capital vs. Hsbc Funds | Sterling Capital vs. Jpmorgan Trust I | Sterling Capital vs. John Hancock 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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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