Correlation Between Great-west Loomis and World Energy
Can any of the company-specific risk be diversified away by investing in both Great-west Loomis and World Energy 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 Loomis and World Energy 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 World Energy Fund, you can compare the effects of market volatilities on Great-west Loomis and World Energy 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 Loomis with a short position of World Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Great-west Loomis and World Energy.
Diversification Opportunities for Great-west Loomis and World Energy
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Great-west and World is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Great West Loomis Sayles and World Energy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on World Energy and Great-west Loomis 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 World Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of World Energy has no effect on the direction of Great-west Loomis i.e., Great-west Loomis and World Energy go up and down completely randomly.
Pair Corralation between Great-west Loomis and World Energy
Assuming the 90 days horizon Great West Loomis Sayles is expected to under-perform the World Energy. But the mutual fund apears to be less risky and, when comparing its historical volatility, Great West Loomis Sayles is 1.64 times less risky than World Energy. The mutual fund trades about -0.07 of its potential returns per unit of risk. The World Energy Fund is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 1,419 in World Energy Fund on December 27, 2024 and sell it today you would earn a total of 40.00 from holding World Energy Fund or generate 2.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Great West Loomis Sayles vs. World Energy Fund
Performance |
Timeline |
Great West Loomis |
World Energy |
Great-west Loomis and World Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Great-west Loomis and World Energy
The main advantage of trading using opposite Great-west Loomis and World Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Great-west Loomis position performs unexpectedly, World Energy 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 World Energy will offset losses from the drop in World Energy's long position.Great-west Loomis vs. Ashmore Emerging Markets | Great-west Loomis vs. Pace Smallmedium Value | Great-west Loomis vs. Goldman Sachs Small | Great-west Loomis vs. Glg Intl 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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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