Correlation Between Goldman Sachs and Strategic Asset
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and Strategic Asset 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 Strategic Asset into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goldman Sachs Inflation and Strategic Asset Management, you can compare the effects of market volatilities on Goldman Sachs and Strategic Asset 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 Strategic Asset. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Strategic Asset.
Diversification Opportunities for Goldman Sachs and Strategic Asset
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Goldman and Strategic is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Inflation and Strategic Asset Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Strategic Asset Mana 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 Inflation are associated (or correlated) with Strategic Asset. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Strategic Asset Mana has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Strategic Asset go up and down completely randomly.
Pair Corralation between Goldman Sachs and Strategic Asset
Assuming the 90 days horizon Goldman Sachs Inflation is expected to generate 0.47 times more return on investment than Strategic Asset. However, Goldman Sachs Inflation is 2.15 times less risky than Strategic Asset. It trades about 0.19 of its potential returns per unit of risk. Strategic Asset Management is currently generating about 0.02 per unit of risk. If you would invest 939.00 in Goldman Sachs Inflation on December 28, 2024 and sell it today you would earn a total of 29.00 from holding Goldman Sachs Inflation or generate 3.09% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Goldman Sachs Inflation vs. Strategic Asset Management
Performance |
Timeline |
Goldman Sachs Inflation |
Strategic Asset Mana |
Goldman Sachs and Strategic Asset Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Goldman Sachs and Strategic Asset
The main advantage of trading using opposite Goldman Sachs and Strategic Asset positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, Strategic Asset 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 Strategic Asset will offset losses from the drop in Strategic Asset's long position.Goldman Sachs vs. Columbia Global Technology | Goldman Sachs vs. Specialized Technology Fund | Goldman Sachs vs. Dreyfus Technology Growth | Goldman Sachs vs. Janus Global Technology |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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