Correlation Between Great-west Mfs and Great-west Large
Can any of the company-specific risk be diversified away by investing in both Great-west Mfs and Great-west Large 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 Mfs and Great-west Large into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Great West Mfs International and Great West Large Cap, you can compare the effects of market volatilities on Great-west Mfs and Great-west Large 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 Mfs with a short position of Great-west Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of Great-west Mfs and Great-west Large.
Diversification Opportunities for Great-west Mfs and Great-west Large
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Great-west and Great-west is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Great West Mfs International and Great West Large Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Great West Large and Great-west Mfs 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 Mfs International are associated (or correlated) with Great-west Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Great West Large has no effect on the direction of Great-west Mfs i.e., Great-west Mfs and Great-west Large go up and down completely randomly.
Pair Corralation between Great-west Mfs and Great-west Large
Assuming the 90 days horizon Great West Mfs International is expected to under-perform the Great-west Large. In addition to that, Great-west Mfs is 1.26 times more volatile than Great West Large Cap. It trades about -0.07 of its total potential returns per unit of risk. Great West Large Cap is currently generating about 0.14 per unit of volatility. If you would invest 1,326 in Great West Large Cap on September 3, 2024 and sell it today you would earn a total of 75.00 from holding Great West Large Cap or generate 5.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Great West Mfs International vs. Great West Large Cap
Performance |
Timeline |
Great West Mfs |
Great West Large |
Great-west Mfs and Great-west Large Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Great-west Mfs and Great-west Large
The main advantage of trading using opposite Great-west Mfs and Great-west Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Great-west Mfs position performs unexpectedly, Great-west Large 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 Great-west Large will offset losses from the drop in Great-west Large's long position.Great-west Mfs vs. Goldman Sachs Short | Great-west Mfs vs. Locorr Longshort Modities | Great-west Mfs vs. Calvert Short Duration | Great-west Mfs vs. Astor Longshort Fund |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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