Correlation Between Great West and Multi-asset Real
Can any of the company-specific risk be diversified away by investing in both Great West and Multi-asset Real 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 Great West and Multi-asset Real into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Great West Loomis Sayles and Multi Asset Real Return, you can compare the effects of market volatilities on Great West and Multi-asset Real 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 Great West with a short position of Multi-asset Real. Check out your portfolio center. Please also check ongoing floating volatility patterns of Great West and Multi-asset Real.
Diversification Opportunities for Great West and Multi-asset Real
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Great and Multi-asset is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Great West Loomis Sayles and Multi Asset Real Return in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Multi Asset Real and Great West 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 Great West Loomis Sayles are associated (or correlated) with Multi-asset Real. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Multi Asset Real has no effect on the direction of Great West i.e., Great West and Multi-asset Real go up and down completely randomly.
Pair Corralation between Great West and Multi-asset Real
Assuming the 90 days horizon Great West is expected to generate 1.34 times less return on investment than Multi-asset Real. But when comparing it to its historical volatility, Great West Loomis Sayles is 1.14 times less risky than Multi-asset Real. It trades about 0.07 of its potential returns per unit of risk. Multi Asset Real Return is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 2,188 in Multi Asset Real Return on October 24, 2024 and sell it today you would earn a total of 139.00 from holding Multi Asset Real Return or generate 6.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Great West Loomis Sayles vs. Multi Asset Real Return
Performance |
Timeline |
Great West Loomis |
Multi Asset Real |
Great West and Multi-asset Real Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Great West and Multi-asset Real
The main advantage of trading using opposite Great West and Multi-asset Real positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Great West position performs unexpectedly, Multi-asset Real 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 Multi-asset Real will offset losses from the drop in Multi-asset Real's long position.Great West vs. Small Cap Equity | Great West vs. Qs Global Equity | Great West vs. Artisan Select Equity | Great West vs. Dreyfusstandish Global Fixed |
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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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