Correlation Between Lgm Risk and Catalyst/smh High
Can any of the company-specific risk be diversified away by investing in both Lgm Risk and Catalyst/smh High 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 Catalyst/smh High 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 Catalystsmh High Income, you can compare the effects of market volatilities on Lgm Risk and Catalyst/smh High 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 Catalyst/smh High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lgm Risk and Catalyst/smh High.
Diversification Opportunities for Lgm Risk and Catalyst/smh High
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Lgm and Catalyst/smh is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Lgm Risk Managed and Catalystsmh High Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Catalystsmh High Income 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 Catalyst/smh High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Catalystsmh High Income has no effect on the direction of Lgm Risk i.e., Lgm Risk and Catalyst/smh High go up and down completely randomly.
Pair Corralation between Lgm Risk and Catalyst/smh High
Assuming the 90 days horizon Lgm Risk is expected to generate 2.41 times less return on investment than Catalyst/smh High. In addition to that, Lgm Risk is 1.18 times more volatile than Catalystsmh High Income. It trades about 0.07 of its total potential returns per unit of risk. Catalystsmh High Income is currently generating about 0.19 per unit of volatility. If you would invest 370.00 in Catalystsmh High Income on October 25, 2024 and sell it today you would earn a total of 4.00 from holding Catalystsmh High Income or generate 1.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Lgm Risk Managed vs. Catalystsmh High Income
Performance |
Timeline |
Lgm Risk Managed |
Catalystsmh High Income |
Lgm Risk and Catalyst/smh High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lgm Risk and Catalyst/smh High
The main advantage of trading using opposite Lgm Risk and Catalyst/smh High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lgm Risk position performs unexpectedly, Catalyst/smh High 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 Catalyst/smh High will offset losses from the drop in Catalyst/smh High's long position.Lgm Risk vs. Mndvux | Lgm Risk vs. Prudential Jennison International | Lgm Risk vs. Fidelity New Markets | Lgm Risk vs. Ohio Variable College |
Catalyst/smh High vs. Victory Rs Partners | Catalyst/smh High vs. Fidelity Small Cap | Catalyst/smh High vs. Small Cap Value | Catalyst/smh High vs. Ab Small Cap |
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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
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