Correlation Between Mfs Technology and Great-west Loomis
Can any of the company-specific risk be diversified away by investing in both Mfs Technology and Great-west Loomis 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 Mfs Technology and Great-west Loomis into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mfs Technology Fund and Great West Loomis Sayles, you can compare the effects of market volatilities on Mfs Technology and Great-west Loomis 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 Mfs Technology with a short position of Great-west Loomis. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mfs Technology and Great-west Loomis.
Diversification Opportunities for Mfs Technology and Great-west Loomis
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Mfs and Great-west is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Mfs Technology Fund and Great West Loomis Sayles in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Great West Loomis and Mfs Technology 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 Mfs Technology Fund are associated (or correlated) with Great-west Loomis. 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 Loomis has no effect on the direction of Mfs Technology i.e., Mfs Technology and Great-west Loomis go up and down completely randomly.
Pair Corralation between Mfs Technology and Great-west Loomis
Assuming the 90 days horizon Mfs Technology Fund is expected to generate 1.16 times more return on investment than Great-west Loomis. However, Mfs Technology is 1.16 times more volatile than Great West Loomis Sayles. It trades about 0.08 of its potential returns per unit of risk. Great West Loomis Sayles is currently generating about 0.05 per unit of risk. If you would invest 3,054 in Mfs Technology Fund on September 2, 2024 and sell it today you would earn a total of 2,130 from holding Mfs Technology Fund or generate 69.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Mfs Technology Fund vs. Great West Loomis Sayles
Performance |
Timeline |
Mfs Technology |
Great West Loomis |
Mfs Technology and Great-west Loomis Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mfs Technology and Great-west Loomis
The main advantage of trading using opposite Mfs Technology and Great-west Loomis positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mfs Technology position performs unexpectedly, Great-west Loomis 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 Loomis will offset losses from the drop in Great-west Loomis' long position.Mfs Technology vs. Deutsche Health And | Mfs Technology vs. The Gabelli Healthcare | Mfs Technology vs. Blackrock Health Sciences | Mfs Technology vs. Eventide Healthcare Life |
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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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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