Correlation Between Cohen Steers and Sitka Gold
Can any of the company-specific risk be diversified away by investing in both Cohen Steers and Sitka Gold 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 Cohen Steers and Sitka Gold into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cohen Steers Realty and Sitka Gold Corp, you can compare the effects of market volatilities on Cohen Steers and Sitka Gold 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 Cohen Steers with a short position of Sitka Gold. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cohen Steers and Sitka Gold.
Diversification Opportunities for Cohen Steers and Sitka Gold
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between Cohen and Sitka is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding Cohen Steers Realty and Sitka Gold Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sitka Gold Corp and Cohen Steers 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 Cohen Steers Realty are associated (or correlated) with Sitka Gold. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sitka Gold Corp has no effect on the direction of Cohen Steers i.e., Cohen Steers and Sitka Gold go up and down completely randomly.
Pair Corralation between Cohen Steers and Sitka Gold
Assuming the 90 days horizon Cohen Steers Realty is expected to under-perform the Sitka Gold. But the mutual fund apears to be less risky and, when comparing its historical volatility, Cohen Steers Realty is 8.24 times less risky than Sitka Gold. The mutual fund trades about -0.1 of its potential returns per unit of risk. The Sitka Gold Corp is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 19.00 in Sitka Gold Corp on September 17, 2024 and sell it today you would earn a total of 6.00 from holding Sitka Gold Corp or generate 31.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Cohen Steers Realty vs. Sitka Gold Corp
Performance |
Timeline |
Cohen Steers Realty |
Sitka Gold Corp |
Cohen Steers and Sitka Gold Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cohen Steers and Sitka Gold
The main advantage of trading using opposite Cohen Steers and Sitka Gold positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cohen Steers position performs unexpectedly, Sitka Gold 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 Sitka Gold will offset losses from the drop in Sitka Gold's long position.Cohen Steers vs. Aquagold International | Cohen Steers vs. Morningstar Unconstrained Allocation | Cohen Steers vs. Thrivent High Yield | Cohen Steers vs. Via Renewables |
Sitka Gold vs. Revival Gold | Sitka Gold vs. Galiano Gold | Sitka Gold vs. US Gold Corp | Sitka Gold vs. HUMANA INC |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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