Correlation Between Goldman Sachs and Guggenheim Active
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and Guggenheim Active 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 Guggenheim Active into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goldman Sachs Group and Guggenheim Active Allocation, you can compare the effects of market volatilities on Goldman Sachs and Guggenheim Active 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 Guggenheim Active. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Guggenheim Active.
Diversification Opportunities for Goldman Sachs and Guggenheim Active
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Goldman and Guggenheim is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Group and Guggenheim Active Allocation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guggenheim Active 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 Group are associated (or correlated) with Guggenheim Active. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guggenheim Active has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Guggenheim Active go up and down completely randomly.
Pair Corralation between Goldman Sachs and Guggenheim Active
Allowing for the 90-day total investment horizon Goldman Sachs Group is expected to generate 3.38 times more return on investment than Guggenheim Active. However, Goldman Sachs is 3.38 times more volatile than Guggenheim Active Allocation. It trades about 0.27 of its potential returns per unit of risk. Guggenheim Active Allocation is currently generating about 0.08 per unit of risk. If you would invest 50,895 in Goldman Sachs Group on September 4, 2024 and sell it today you would earn a total of 9,313 from holding Goldman Sachs Group or generate 18.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Goldman Sachs Group vs. Guggenheim Active Allocation
Performance |
Timeline |
Goldman Sachs Group |
Guggenheim Active |
Goldman Sachs and Guggenheim Active Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Goldman Sachs and Guggenheim Active
The main advantage of trading using opposite Goldman Sachs and Guggenheim Active positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, Guggenheim Active 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 Guggenheim Active will offset losses from the drop in Guggenheim Active's long position.Goldman Sachs vs. Morgan Stanley | Goldman Sachs vs. JPMorgan Chase Co | Goldman Sachs vs. Wells Fargo | Goldman Sachs vs. Citigroup |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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