Correlation Between Goldman Sachs and Great Ajax
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and Great Ajax 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 Great Ajax 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 Great Ajax Corp, you can compare the effects of market volatilities on Goldman Sachs and Great Ajax 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 Great Ajax. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Great Ajax.
Diversification Opportunities for Goldman Sachs and Great Ajax
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Goldman and Great is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Group and Great Ajax Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Great Ajax Corp 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 Great Ajax. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Great Ajax Corp has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Great Ajax go up and down completely randomly.
Pair Corralation between Goldman Sachs and Great Ajax
Allowing for the 90-day total investment horizon Goldman Sachs Group is expected to generate 0.57 times more return on investment than Great Ajax. However, Goldman Sachs Group is 1.77 times less risky than Great Ajax. It trades about 0.08 of its potential returns per unit of risk. Great Ajax Corp is currently generating about -0.04 per unit of risk. If you would invest 35,335 in Goldman Sachs Group on August 24, 2024 and sell it today you would earn a total of 24,943 from holding Goldman Sachs Group or generate 70.59% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Goldman Sachs Group vs. Great Ajax Corp
Performance |
| Timeline |
| Goldman Sachs Group |
| Great Ajax Corp |
Goldman Sachs and Great Ajax Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Goldman Sachs and Great Ajax
The main advantage of trading using opposite Goldman Sachs and Great Ajax positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, Great Ajax 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 Great Ajax will offset losses from the drop in Great Ajax's long position.| Goldman Sachs vs. JPMorgan Chase Co | Goldman Sachs vs. Wells Fargo | Goldman Sachs vs. Citigroup | Goldman Sachs vs. American Express |
| Great Ajax vs. Ellington Financial | Great Ajax vs. Dynex Capital | Great Ajax vs. Ares Commercial Real | Great Ajax vs. Cherry Hill Mortgage |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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