Correlation Between Federated Mdt and Goldman Sachs
Can any of the company-specific risk be diversified away by investing in both Federated Mdt and Goldman Sachs 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 Federated Mdt and Goldman Sachs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Mdt Large and Goldman Sachs International, you can compare the effects of market volatilities on Federated Mdt and Goldman Sachs 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 Federated Mdt with a short position of Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Mdt and Goldman Sachs.
Diversification Opportunities for Federated Mdt and Goldman Sachs
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between FEDERATED and Goldman is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding Federated Mdt Large and Goldman Sachs International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs Intern and Federated Mdt 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 Federated Mdt Large are associated (or correlated) with Goldman Sachs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goldman Sachs Intern has no effect on the direction of Federated Mdt i.e., Federated Mdt and Goldman Sachs go up and down completely randomly.
Pair Corralation between Federated Mdt and Goldman Sachs
Assuming the 90 days horizon Federated Mdt Large is expected to generate 1.0 times more return on investment than Goldman Sachs. However, Federated Mdt Large is 1.0 times less risky than Goldman Sachs. It trades about 0.43 of its potential returns per unit of risk. Goldman Sachs International is currently generating about -0.02 per unit of risk. If you would invest 3,497 in Federated Mdt Large on September 4, 2024 and sell it today you would earn a total of 255.00 from holding Federated Mdt Large or generate 7.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 95.24% |
Values | Daily Returns |
Federated Mdt Large vs. Goldman Sachs International
Performance |
Timeline |
Federated Mdt Large |
Goldman Sachs Intern |
Federated Mdt and Goldman Sachs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated Mdt and Goldman Sachs
The main advantage of trading using opposite Federated Mdt and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Mdt position performs unexpectedly, Goldman Sachs 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 Goldman Sachs will offset losses from the drop in Goldman Sachs' long position.Federated Mdt vs. Federated Max Cap Index | Federated Mdt vs. Federated Mdt Mid Cap | Federated Mdt vs. Federated Max Cap Index | Federated Mdt vs. Federated Global Allocation |
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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 Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
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