Correlation Between Goldman Sachs and Fidelity Salem
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and Fidelity Salem 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 Fidelity Salem into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goldman Sachs High and Fidelity Salem Street, you can compare the effects of market volatilities on Goldman Sachs and Fidelity Salem 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 Fidelity Salem. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Fidelity Salem.
Diversification Opportunities for Goldman Sachs and Fidelity Salem
-0.62 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Goldman and Fidelity is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs High and Fidelity Salem Street in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Salem Street 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 High are associated (or correlated) with Fidelity Salem. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Salem Street has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Fidelity Salem go up and down completely randomly.
Pair Corralation between Goldman Sachs and Fidelity Salem
Assuming the 90 days horizon Goldman Sachs High is expected to generate 0.2 times more return on investment than Fidelity Salem. However, Goldman Sachs High is 4.88 times less risky than Fidelity Salem. It trades about 0.19 of its potential returns per unit of risk. Fidelity Salem Street is currently generating about 0.03 per unit of risk. If you would invest 754.00 in Goldman Sachs High on October 7, 2024 and sell it today you would earn a total of 134.00 from holding Goldman Sachs High or generate 17.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Goldman Sachs High vs. Fidelity Salem Street
Performance |
Timeline |
Goldman Sachs High |
Fidelity Salem Street |
Goldman Sachs and Fidelity Salem Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Goldman Sachs and Fidelity Salem
The main advantage of trading using opposite Goldman Sachs and Fidelity Salem positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, Fidelity Salem 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 Fidelity Salem will offset losses from the drop in Fidelity Salem's long position.Goldman Sachs vs. T Rowe Price | Goldman Sachs vs. Allianzgi Diversified Income | Goldman Sachs vs. Tiaa Cref Small Cap Equity | Goldman Sachs vs. Tax Managed Mid Small |
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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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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