Correlation Between Goldman Sachs and Edgewood Growth
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and Edgewood Growth 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 Edgewood Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goldman Sachs Gqg and Edgewood Growth Fund, you can compare the effects of market volatilities on Goldman Sachs and Edgewood Growth 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 Edgewood Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Edgewood Growth.
Diversification Opportunities for Goldman Sachs and Edgewood Growth
-0.75 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Goldman and Edgewood is -0.75. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Gqg and Edgewood Growth Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Edgewood Growth 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 Gqg are associated (or correlated) with Edgewood Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Edgewood Growth has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Edgewood Growth go up and down completely randomly.
Pair Corralation between Goldman Sachs and Edgewood Growth
Assuming the 90 days horizon Goldman Sachs Gqg is expected to under-perform the Edgewood Growth. But the mutual fund apears to be less risky and, when comparing its historical volatility, Goldman Sachs Gqg is 1.62 times less risky than Edgewood Growth. The mutual fund trades about -0.2 of its potential returns per unit of risk. The Edgewood Growth Fund is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 4,969 in Edgewood Growth Fund on September 3, 2024 and sell it today you would earn a total of 481.00 from holding Edgewood Growth Fund or generate 9.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Goldman Sachs Gqg vs. Edgewood Growth Fund
Performance |
Timeline |
Goldman Sachs Gqg |
Edgewood Growth |
Goldman Sachs and Edgewood Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Goldman Sachs and Edgewood Growth
The main advantage of trading using opposite Goldman Sachs and Edgewood Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, Edgewood Growth 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 Edgewood Growth will offset losses from the drop in Edgewood Growth's long position.Goldman Sachs vs. Baird Smallmid Cap | Goldman Sachs vs. Touchstone Small Cap | Goldman Sachs vs. Small Cap Value | Goldman Sachs vs. Oklahoma College Savings |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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