Correlation Between Multi-manager High and Goldman Sachs
Can any of the company-specific risk be diversified away by investing in both Multi-manager High 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 Multi-manager High and Goldman Sachs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Multi Manager High Yield and Goldman Sachs Enhanced, you can compare the effects of market volatilities on Multi-manager High 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 Multi-manager High with a short position of Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Multi-manager High and Goldman Sachs.
Diversification Opportunities for Multi-manager High and Goldman Sachs
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Multi-manager and Goldman is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Multi Manager High Yield and Goldman Sachs Enhanced in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs Enhanced and Multi-manager High 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 Multi Manager High Yield 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 Enhanced has no effect on the direction of Multi-manager High i.e., Multi-manager High and Goldman Sachs go up and down completely randomly.
Pair Corralation between Multi-manager High and Goldman Sachs
Assuming the 90 days horizon Multi Manager High Yield is expected to generate 2.32 times more return on investment than Goldman Sachs. However, Multi-manager High is 2.32 times more volatile than Goldman Sachs Enhanced. It trades about 0.14 of its potential returns per unit of risk. Goldman Sachs Enhanced is currently generating about 0.21 per unit of risk. If you would invest 715.00 in Multi Manager High Yield on October 11, 2024 and sell it today you would earn a total of 126.00 from holding Multi Manager High Yield or generate 17.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Multi Manager High Yield vs. Goldman Sachs Enhanced
Performance |
Timeline |
Multi Manager High |
Goldman Sachs Enhanced |
Multi-manager High and Goldman Sachs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Multi-manager High and Goldman Sachs
The main advantage of trading using opposite Multi-manager High and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Multi-manager High 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.Multi-manager High vs. Lord Abbett Intermediate | Multi-manager High vs. Dreyfus Municipal Bond | Multi-manager High vs. Ishares Municipal Bond | Multi-manager High vs. Transamerica Intermediate Muni |
Goldman Sachs vs. Inverse High Yield | Goldman Sachs vs. Fidelity Capital Income | Goldman Sachs vs. Voya High Yield | Goldman Sachs vs. Multi Manager High Yield |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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