Correlation Between Litman Gregory and American Funds
Can any of the company-specific risk be diversified away by investing in both Litman Gregory and American Funds 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 Litman Gregory and American Funds into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Litman Gregory Masters and American Funds Capital, you can compare the effects of market volatilities on Litman Gregory and American Funds 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 Litman Gregory with a short position of American Funds. Check out your portfolio center. Please also check ongoing floating volatility patterns of Litman Gregory and American Funds.
Diversification Opportunities for Litman Gregory and American Funds
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Litman and American is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Litman Gregory Masters and American Funds Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Funds Capital and Litman Gregory 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 Litman Gregory Masters are associated (or correlated) with American Funds. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Funds Capital has no effect on the direction of Litman Gregory i.e., Litman Gregory and American Funds go up and down completely randomly.
Pair Corralation between Litman Gregory and American Funds
Assuming the 90 days horizon Litman Gregory is expected to generate 1.37 times less return on investment than American Funds. But when comparing it to its historical volatility, Litman Gregory Masters is 1.07 times less risky than American Funds. It trades about 0.08 of its potential returns per unit of risk. American Funds Capital is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 6,608 in American Funds Capital on September 3, 2024 and sell it today you would earn a total of 289.00 from holding American Funds Capital or generate 4.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Litman Gregory Masters vs. American Funds Capital
Performance |
Timeline |
Litman Gregory Masters |
American Funds Capital |
Litman Gregory and American Funds Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Litman Gregory and American Funds
The main advantage of trading using opposite Litman Gregory and American Funds positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Litman Gregory position performs unexpectedly, American Funds 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 Funds will offset losses from the drop in American Funds' long position.Litman Gregory vs. American Funds Capital | Litman Gregory vs. American Funds Capital | Litman Gregory vs. Capital World Growth | Litman Gregory vs. Capital World Growth |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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