Correlation Between IShares Core and Litman Gregory
Can any of the company-specific risk be diversified away by investing in both IShares Core and Litman Gregory 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 IShares Core and Litman Gregory into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iShares Core SP and Litman Gregory Funds, you can compare the effects of market volatilities on IShares Core and Litman Gregory 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 IShares Core with a short position of Litman Gregory. Check out your portfolio center. Please also check ongoing floating volatility patterns of IShares Core and Litman Gregory.
Diversification Opportunities for IShares Core and Litman Gregory
0.37 | Correlation Coefficient |
Weak diversification
The 3 months correlation between IShares and Litman is 0.37. Overlapping area represents the amount of risk that can be diversified away by holding iShares Core SP and Litman Gregory Funds in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Litman Gregory Funds and IShares Core 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 iShares Core SP are associated (or correlated) with Litman Gregory. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Litman Gregory Funds has no effect on the direction of IShares Core i.e., IShares Core and Litman Gregory go up and down completely randomly.
Pair Corralation between IShares Core and Litman Gregory
Given the investment horizon of 90 days iShares Core SP is expected to under-perform the Litman Gregory. In addition to that, IShares Core is 1.34 times more volatile than Litman Gregory Funds. It trades about -0.06 of its total potential returns per unit of risk. Litman Gregory Funds is currently generating about 0.04 per unit of volatility. If you would invest 1,142 in Litman Gregory Funds on December 29, 2024 and sell it today you would earn a total of 19.00 from holding Litman Gregory Funds or generate 1.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
iShares Core SP vs. Litman Gregory Funds
Performance |
Timeline |
iShares Core SP |
Litman Gregory Funds |
IShares Core and Litman Gregory Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IShares Core and Litman Gregory
The main advantage of trading using opposite IShares Core and Litman Gregory positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IShares Core position performs unexpectedly, Litman Gregory 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 Litman Gregory will offset losses from the drop in Litman Gregory's long position.IShares Core vs. iShares Core MSCI | IShares Core vs. iShares Core MSCI | IShares Core vs. iShares Core MSCI | IShares Core vs. iShares Core SP |
Litman Gregory vs. Strategy Shares | Litman Gregory vs. Freedom Day Dividend | Litman Gregory vs. Franklin Templeton ETF | Litman Gregory vs. iShares MSCI China |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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