Correlation Between Goldman Sachs and Dreyfus Short
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and Dreyfus Short 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 Dreyfus Short into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goldman Sachs Short Term and Dreyfus Short Intermediate, you can compare the effects of market volatilities on Goldman Sachs and Dreyfus Short 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 Dreyfus Short. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Dreyfus Short.
Diversification Opportunities for Goldman Sachs and Dreyfus Short
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between GOLDMAN and Dreyfus is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Short Term and Dreyfus Short Intermediate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dreyfus Short Interm 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 Short Term are associated (or correlated) with Dreyfus Short. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dreyfus Short Interm has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Dreyfus Short go up and down completely randomly.
Pair Corralation between Goldman Sachs and Dreyfus Short
Assuming the 90 days horizon Goldman Sachs Short Term is expected to generate 0.99 times more return on investment than Dreyfus Short. However, Goldman Sachs Short Term is 1.01 times less risky than Dreyfus Short. It trades about 0.16 of its potential returns per unit of risk. Dreyfus Short Intermediate is currently generating about 0.06 per unit of risk. If you would invest 1,002 in Goldman Sachs Short Term on September 1, 2024 and sell it today you would earn a total of 8.00 from holding Goldman Sachs Short Term or generate 0.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Goldman Sachs Short Term vs. Dreyfus Short Intermediate
Performance |
Timeline |
Goldman Sachs Short |
Dreyfus Short Interm |
Goldman Sachs and Dreyfus Short Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Goldman Sachs and Dreyfus Short
The main advantage of trading using opposite Goldman Sachs and Dreyfus Short positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, Dreyfus Short 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 Dreyfus Short will offset losses from the drop in Dreyfus Short'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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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