Correlation Between Great-west Loomis and Free Market
Can any of the company-specific risk be diversified away by investing in both Great-west Loomis and Free Market 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 Free Market 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 Free Market International, you can compare the effects of market volatilities on Great-west Loomis and Free Market 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 Free Market. Check out your portfolio center. Please also check ongoing floating volatility patterns of Great-west Loomis and Free Market.
Diversification Opportunities for Great-west Loomis and Free Market
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Great-west and Free is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Great West Loomis Sayles and Free Market International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Free Market International 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 Free Market. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Free Market International has no effect on the direction of Great-west Loomis i.e., Great-west Loomis and Free Market go up and down completely randomly.
Pair Corralation between Great-west Loomis and Free Market
Assuming the 90 days horizon Great West Loomis Sayles is expected to under-perform the Free Market. In addition to that, Great-west Loomis is 1.26 times more volatile than Free Market International. It trades about -0.19 of its total potential returns per unit of risk. Free Market International is currently generating about -0.17 per unit of volatility. If you would invest 1,211 in Free Market International on October 11, 2024 and sell it today you would lose (69.00) from holding Free Market International or give up 5.7% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 97.56% |
Values | Daily Returns |
Great West Loomis Sayles vs. Free Market International
Performance |
Timeline |
Great West Loomis |
Free Market International |
Great-west Loomis and Free Market Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Great-west Loomis and Free Market
The main advantage of trading using opposite Great-west Loomis and Free Market positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Great-west Loomis position performs unexpectedly, Free Market 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 Free Market will offset losses from the drop in Free Market's long position.Great-west Loomis vs. Nasdaq 100 2x Strategy | Great-west Loomis vs. Dow 2x Strategy | Great-west Loomis vs. Catalystmillburn Hedge Strategy | Great-west Loomis vs. Mid Cap 15x Strategy |
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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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