Correlation Between Goldman Sachs and Catalyst/map Global
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and Catalyst/map 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 Catalyst/map 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 Catalystmap Global Balanced, you can compare the effects of market volatilities on Goldman Sachs and Catalyst/map 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 Catalyst/map Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Catalyst/map Global.
Diversification Opportunities for Goldman Sachs and Catalyst/map Global
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Goldman and Catalyst/map is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Government and Catalystmap Global Balanced in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Catalyst/map Global 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 Catalyst/map Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Catalyst/map Global has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Catalyst/map Global go up and down completely randomly.
Pair Corralation between Goldman Sachs and Catalyst/map Global
Assuming the 90 days horizon Goldman Sachs is expected to generate 1.5 times less return on investment than Catalyst/map Global. But when comparing it to its historical volatility, Goldman Sachs Government is 1.09 times less risky than Catalyst/map Global. It trades about 0.12 of its potential returns per unit of risk. Catalystmap Global Balanced is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 1,195 in Catalystmap Global Balanced on May 20, 2025 and sell it today you would earn a total of 41.00 from holding Catalystmap Global Balanced or generate 3.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Goldman Sachs Government vs. Catalystmap Global Balanced
Performance |
Timeline |
Goldman Sachs Government |
Catalyst/map Global |
Goldman Sachs and Catalyst/map Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Goldman Sachs and Catalyst/map Global
The main advantage of trading using opposite Goldman Sachs and Catalyst/map Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, Catalyst/map 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 Catalyst/map Global will offset losses from the drop in Catalyst/map Global's long position.Goldman Sachs vs. Elfun Government Money | Goldman Sachs vs. Fidelity Money Market | Goldman Sachs vs. John Hancock Money | Goldman Sachs vs. Schwab Government Money |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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