Correlation Between Litman Gregory and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Litman Gregory and Dow Jones 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 Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Litman Gregory Funds and Dow Jones Industrial, you can compare the effects of market volatilities on Litman Gregory and Dow Jones 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 Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Litman Gregory and Dow Jones.
Diversification Opportunities for Litman Gregory and Dow Jones
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Litman and Dow is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Litman Gregory Funds and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial 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 Funds are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Litman Gregory i.e., Litman Gregory and Dow Jones go up and down completely randomly.
Pair Corralation between Litman Gregory and Dow Jones
Given the investment horizon of 90 days Litman Gregory Funds is expected to generate 1.22 times more return on investment than Dow Jones. However, Litman Gregory is 1.22 times more volatile than Dow Jones Industrial. It trades about 0.03 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about -0.04 per unit of risk. If you would invest 918.00 in Litman Gregory Funds on December 29, 2024 and sell it today you would earn a total of 15.00 from holding Litman Gregory Funds or generate 1.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Litman Gregory Funds vs. Dow Jones Industrial
Performance |
Timeline |
Litman Gregory and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Litman Gregory Funds
Pair trading matchups for Litman Gregory
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Litman Gregory and Dow Jones
The main advantage of trading using opposite Litman Gregory and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Litman Gregory position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Litman Gregory vs. FT Vest Equity | Litman Gregory vs. Northern Lights | Litman Gregory vs. Dimensional International High | Litman Gregory vs. First Trust Exchange Traded |
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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 Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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