Correlation Between Litman Gregory and Artisan Small
Can any of the company-specific risk be diversified away by investing in both Litman Gregory and Artisan Small 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 Artisan Small 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 Artisan Small Cap, you can compare the effects of market volatilities on Litman Gregory and Artisan Small 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 Artisan Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Litman Gregory and Artisan Small.
Diversification Opportunities for Litman Gregory and Artisan Small
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Litman and Artisan is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Litman Gregory Masters and Artisan Small Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Artisan Small Cap 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 Artisan Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Artisan Small Cap has no effect on the direction of Litman Gregory i.e., Litman Gregory and Artisan Small go up and down completely randomly.
Pair Corralation between Litman Gregory and Artisan Small
Assuming the 90 days horizon Litman Gregory Masters is expected to under-perform the Artisan Small. But the mutual fund apears to be less risky and, when comparing its historical volatility, Litman Gregory Masters is 1.45 times less risky than Artisan Small. The mutual fund trades about -0.02 of its potential returns per unit of risk. The Artisan Small Cap is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 3,448 in Artisan Small Cap on September 12, 2024 and sell it today you would earn a total of 467.00 from holding Artisan Small Cap or generate 13.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Litman Gregory Masters vs. Artisan Small Cap
Performance |
Timeline |
Litman Gregory Masters |
Artisan Small Cap |
Litman Gregory and Artisan Small Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Litman Gregory and Artisan Small
The main advantage of trading using opposite Litman Gregory and Artisan Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Litman Gregory position performs unexpectedly, Artisan Small 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 Artisan Small will offset losses from the drop in Artisan Small's long position.Litman Gregory vs. Science Technology Fund | Litman Gregory vs. Invesco Technology Fund | Litman Gregory vs. Fidelity Advisor Technology | Litman Gregory vs. Global Technology Portfolio |
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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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