Correlation Between Crossmark Steward and Goldman Sachs
Can any of the company-specific risk be diversified away by investing in both Crossmark Steward and Goldman Sachs 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 Crossmark Steward and Goldman Sachs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Crossmark Steward Equity and Goldman Sachs Mid, you can compare the effects of market volatilities on Crossmark Steward and Goldman Sachs 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 Crossmark Steward with a short position of Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Crossmark Steward and Goldman Sachs.
Diversification Opportunities for Crossmark Steward and Goldman Sachs
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Crossmark and Goldman is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Crossmark Steward Equity and Goldman Sachs Mid in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs Mid and Crossmark Steward 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 Crossmark Steward Equity are associated (or correlated) with Goldman Sachs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goldman Sachs Mid has no effect on the direction of Crossmark Steward i.e., Crossmark Steward and Goldman Sachs go up and down completely randomly.
Pair Corralation between Crossmark Steward and Goldman Sachs
Assuming the 90 days horizon Crossmark Steward Equity is expected to generate 0.49 times more return on investment than Goldman Sachs. However, Crossmark Steward Equity is 2.04 times less risky than Goldman Sachs. It trades about -0.19 of its potential returns per unit of risk. Goldman Sachs Mid is currently generating about -0.36 per unit of risk. If you would invest 2,831 in Crossmark Steward Equity on September 28, 2024 and sell it today you would lose (93.00) from holding Crossmark Steward Equity or give up 3.29% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Crossmark Steward Equity vs. Goldman Sachs Mid
Performance |
Timeline |
Crossmark Steward Equity |
Goldman Sachs Mid |
Crossmark Steward and Goldman Sachs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Crossmark Steward and Goldman Sachs
The main advantage of trading using opposite Crossmark Steward and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Crossmark Steward position performs unexpectedly, Goldman Sachs 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 Goldman Sachs will offset losses from the drop in Goldman Sachs' long position.Crossmark Steward vs. Steward Small Mid Cap | Crossmark Steward vs. Steward Small Mid Cap | Crossmark Steward vs. Steward Ered Call | Crossmark Steward vs. Steward Ered Call |
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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 Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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