Correlation Between Litman Gregory and Fisher Fixed
Can any of the company-specific risk be diversified away by investing in both Litman Gregory and Fisher Fixed 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 Fisher Fixed 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 Fisher Fixed Income, you can compare the effects of market volatilities on Litman Gregory and Fisher Fixed 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 Fisher Fixed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Litman Gregory and Fisher Fixed.
Diversification Opportunities for Litman Gregory and Fisher Fixed
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Litman and Fisher is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Litman Gregory Masters and Fisher Fixed Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fisher Fixed Income 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 Fisher Fixed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fisher Fixed Income has no effect on the direction of Litman Gregory i.e., Litman Gregory and Fisher Fixed go up and down completely randomly.
Pair Corralation between Litman Gregory and Fisher Fixed
Assuming the 90 days horizon Litman Gregory is expected to generate 2.21 times less return on investment than Fisher Fixed. But when comparing it to its historical volatility, Litman Gregory Masters is 2.23 times less risky than Fisher Fixed. It trades about 0.18 of its potential returns per unit of risk. Fisher Fixed Income is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 855.00 in Fisher Fixed Income on December 21, 2024 and sell it today you would earn a total of 27.00 from holding Fisher Fixed Income or generate 3.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Litman Gregory Masters vs. Fisher Fixed Income
Performance |
Timeline |
Litman Gregory Masters |
Fisher Fixed Income |
Litman Gregory and Fisher Fixed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Litman Gregory and Fisher Fixed
The main advantage of trading using opposite Litman Gregory and Fisher Fixed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Litman Gregory position performs unexpectedly, Fisher Fixed 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 Fisher Fixed will offset losses from the drop in Fisher Fixed's long position.Litman Gregory vs. Transamerica Asset Allocation | Litman Gregory vs. Small Pany Growth | Litman Gregory vs. Longboard Alternative Growth | Litman Gregory vs. T Rowe Price |
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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 Transaction History module to view history of all your transactions and understand their impact on performance.
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