Correlation Between Lgm Risk and American Balanced
Can any of the company-specific risk be diversified away by investing in both Lgm Risk and American Balanced 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 American Balanced 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 American Balanced Fund, you can compare the effects of market volatilities on Lgm Risk and American Balanced 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 American Balanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lgm Risk and American Balanced.
Diversification Opportunities for Lgm Risk and American Balanced
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Lgm and American is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Lgm Risk Managed and American Balanced Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Balanced 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 American Balanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Balanced has no effect on the direction of Lgm Risk i.e., Lgm Risk and American Balanced go up and down completely randomly.
Pair Corralation between Lgm Risk and American Balanced
Assuming the 90 days horizon Lgm Risk Managed is expected to under-perform the American Balanced. But the mutual fund apears to be less risky and, when comparing its historical volatility, Lgm Risk Managed is 1.8 times less risky than American Balanced. The mutual fund trades about -0.07 of its potential returns per unit of risk. The American Balanced Fund is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 3,428 in American Balanced Fund on December 20, 2024 and sell it today you would earn a total of 15.00 from holding American Balanced Fund or generate 0.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.33% |
Values | Daily Returns |
Lgm Risk Managed vs. American Balanced Fund
Performance |
Timeline |
Lgm Risk Managed |
American Balanced |
Lgm Risk and American Balanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lgm Risk and American Balanced
The main advantage of trading using opposite Lgm Risk and American Balanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lgm Risk position performs unexpectedly, American Balanced 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 American Balanced will offset losses from the drop in American Balanced's long position.Lgm Risk vs. Nuveen California High | Lgm Risk vs. Aqr Risk Parity | Lgm Risk vs. Copeland Risk Managed | Lgm Risk vs. Franklin California High |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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