Correlation Between Goldman Sachs and Gmo Global
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and Gmo Global 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 Goldman Sachs and Gmo Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goldman Sachs Government and Gmo Global Equity, you can compare the effects of market volatilities on Goldman Sachs and Gmo Global 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 Goldman Sachs with a short position of Gmo Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Gmo Global.
Diversification Opportunities for Goldman Sachs and Gmo Global
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Goldman and Gmo is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Government and Gmo Global Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gmo Global Equity and Goldman Sachs 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 Goldman Sachs Government are associated (or correlated) with Gmo Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gmo Global Equity has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Gmo Global go up and down completely randomly.
Pair Corralation between Goldman Sachs and Gmo Global
Assuming the 90 days horizon Goldman Sachs is expected to generate 2.26 times less return on investment than Gmo Global. But when comparing it to its historical volatility, Goldman Sachs Government is 2.5 times less risky than Gmo Global. It trades about 0.11 of its potential returns per unit of risk. Gmo Global Equity is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 2,813 in Gmo Global Equity on December 28, 2024 and sell it today you would earn a total of 124.00 from holding Gmo Global Equity or generate 4.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Goldman Sachs Government vs. Gmo Global Equity
Performance |
Timeline |
Goldman Sachs Government |
Gmo Global Equity |
Goldman Sachs and Gmo Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Goldman Sachs and Gmo Global
The main advantage of trading using opposite Goldman Sachs and Gmo Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, Gmo Global 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 Gmo Global will offset losses from the drop in Gmo Global's long position.Goldman Sachs vs. United Kingdom Small | Goldman Sachs vs. Pace Smallmedium Value | Goldman Sachs vs. Small Midcap Dividend Income | Goldman Sachs vs. Cardinal Small Cap |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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