Correlation Between Great West and Massachusetts Investors
Can any of the company-specific risk be diversified away by investing in both Great West and Massachusetts Investors 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 Massachusetts Investors 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 Massachusetts Investors Trust, you can compare the effects of market volatilities on Great West and Massachusetts Investors 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 Massachusetts Investors. Check out your portfolio center. Please also check ongoing floating volatility patterns of Great West and Massachusetts Investors.
Diversification Opportunities for Great West and Massachusetts Investors
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Great and Massachusetts is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Great West Loomis Sayles and Massachusetts Investors Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Massachusetts Investors 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 Massachusetts Investors. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Massachusetts Investors has no effect on the direction of Great West i.e., Great West and Massachusetts Investors go up and down completely randomly.
Pair Corralation between Great West and Massachusetts Investors
Assuming the 90 days horizon Great West is expected to generate 1.07 times less return on investment than Massachusetts Investors. In addition to that, Great West is 1.25 times more volatile than Massachusetts Investors Trust. It trades about 0.04 of its total potential returns per unit of risk. Massachusetts Investors Trust is currently generating about 0.06 per unit of volatility. If you would invest 2,687 in Massachusetts Investors Trust on September 26, 2024 and sell it today you would earn a total of 782.00 from holding Massachusetts Investors Trust or generate 29.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.8% |
Values | Daily Returns |
Great West Loomis Sayles vs. Massachusetts Investors Trust
Performance |
Timeline |
Great West Loomis |
Massachusetts Investors |
Great West and Massachusetts Investors Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Great West and Massachusetts Investors
The main advantage of trading using opposite Great West and Massachusetts Investors positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Great West position performs unexpectedly, Massachusetts Investors 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 Massachusetts Investors will offset losses from the drop in Massachusetts Investors' long position.Great West vs. Commodities Strategy Fund | Great West vs. Gmo Treasury Fund | Great West vs. Multimedia Portfolio Multimedia | Great West vs. Issachar Fund Class |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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