Correlation Between Goldman Sachs and Hartford Growth
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and Hartford 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 Hartford Growth 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 The Hartford Growth, you can compare the effects of market volatilities on Goldman Sachs and Hartford 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 Hartford Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Hartford Growth.
Diversification Opportunities for Goldman Sachs and Hartford Growth
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Goldman and Hartford is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Inflation and The Hartford Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hartford 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 Inflation are associated (or correlated) with Hartford Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hartford Growth has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Hartford Growth go up and down completely randomly.
Pair Corralation between Goldman Sachs and Hartford Growth
Assuming the 90 days horizon Goldman Sachs is expected to generate 15.02 times less return on investment than Hartford Growth. But when comparing it to its historical volatility, Goldman Sachs Inflation is 3.29 times less risky than Hartford Growth. It trades about 0.03 of its potential returns per unit of risk. The Hartford Growth is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 3,709 in The Hartford Growth on September 26, 2024 and sell it today you would earn a total of 4,107 from holding The Hartford Growth or generate 110.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Goldman Sachs Inflation vs. The Hartford Growth
Performance |
Timeline |
Goldman Sachs Inflation |
Hartford Growth |
Goldman Sachs and Hartford Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Goldman Sachs and Hartford Growth
The main advantage of trading using opposite Goldman Sachs and Hartford Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, Hartford 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 Hartford Growth will offset losses from the drop in Hartford Growth's long position.Goldman Sachs vs. Goldman Sachs Clean | Goldman Sachs vs. Goldman Sachs Clean | Goldman Sachs vs. Goldman Sachs Clean | Goldman Sachs vs. Goldman Sachs Clean |
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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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