Correlation Between Lgm Risk and Pro-blend(r) Extended
Can any of the company-specific risk be diversified away by investing in both Lgm Risk and Pro-blend(r) Extended 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 Lgm Risk and Pro-blend(r) Extended into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lgm Risk Managed and Pro Blend Extended Term, you can compare the effects of market volatilities on Lgm Risk and Pro-blend(r) Extended 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 Lgm Risk with a short position of Pro-blend(r) Extended. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lgm Risk and Pro-blend(r) Extended.
Diversification Opportunities for Lgm Risk and Pro-blend(r) Extended
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Lgm and Pro-blend(r) is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Lgm Risk Managed and Pro Blend Extended Term in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pro-blend(r) Extended and Lgm Risk 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 Lgm Risk Managed are associated (or correlated) with Pro-blend(r) Extended. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pro-blend(r) Extended has no effect on the direction of Lgm Risk i.e., Lgm Risk and Pro-blend(r) Extended go up and down completely randomly.
Pair Corralation between Lgm Risk and Pro-blend(r) Extended
Assuming the 90 days horizon Lgm Risk Managed is expected to under-perform the Pro-blend(r) Extended. But the mutual fund apears to be less risky and, when comparing its historical volatility, Lgm Risk Managed is 1.41 times less risky than Pro-blend(r) Extended. The mutual fund trades about -0.06 of its potential returns per unit of risk. The Pro Blend Extended Term is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 1,951 in Pro Blend Extended Term on December 26, 2024 and sell it today you would earn a total of 16.00 from holding Pro Blend Extended Term or generate 0.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Lgm Risk Managed vs. Pro Blend Extended Term
Performance |
Timeline |
Lgm Risk Managed |
Pro-blend(r) Extended |
Lgm Risk and Pro-blend(r) Extended Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lgm Risk and Pro-blend(r) Extended
The main advantage of trading using opposite Lgm Risk and Pro-blend(r) Extended positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lgm Risk position performs unexpectedly, Pro-blend(r) Extended 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 Pro-blend(r) Extended will offset losses from the drop in Pro-blend(r) Extended's long position.Lgm Risk vs. Wabmsx | Lgm Risk vs. Ft 7934 Corporate | Lgm Risk vs. Barings Emerging Markets | Lgm Risk vs. Jp Morgan Smartretirement |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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