Correlation Between Litman Gregory and Franklin Small-mid
Can any of the company-specific risk be diversified away by investing in both Litman Gregory and Franklin Small-mid 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 Franklin Small-mid 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 Franklin Small Mid Cap, you can compare the effects of market volatilities on Litman Gregory and Franklin Small-mid 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 Franklin Small-mid. Check out your portfolio center. Please also check ongoing floating volatility patterns of Litman Gregory and Franklin Small-mid.
Diversification Opportunities for Litman Gregory and Franklin Small-mid
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Litman and Franklin is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Litman Gregory Masters and Franklin Small Mid Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin Small Mid 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 Franklin Small-mid. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin Small Mid has no effect on the direction of Litman Gregory i.e., Litman Gregory and Franklin Small-mid go up and down completely randomly.
Pair Corralation between Litman Gregory and Franklin Small-mid
Assuming the 90 days horizon Litman Gregory Masters is expected to generate 0.1 times more return on investment than Franklin Small-mid. However, Litman Gregory Masters is 9.74 times less risky than Franklin Small-mid. It trades about 0.17 of its potential returns per unit of risk. Franklin Small Mid Cap is currently generating about -0.1 per unit of risk. If you would invest 980.00 in Litman Gregory Masters on December 22, 2024 and sell it today you would earn a total of 14.00 from holding Litman Gregory Masters or generate 1.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Litman Gregory Masters vs. Franklin Small Mid Cap
Performance |
Timeline |
Litman Gregory Masters |
Franklin Small Mid |
Litman Gregory and Franklin Small-mid Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Litman Gregory and Franklin Small-mid
The main advantage of trading using opposite Litman Gregory and Franklin Small-mid positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Litman Gregory position performs unexpectedly, Franklin Small-mid 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 Franklin Small-mid will offset losses from the drop in Franklin Small-mid's long position.Litman Gregory vs. Global Gold Fund | Litman Gregory vs. Global Gold Fund | Litman Gregory vs. Fidelity Advisor Gold | Litman Gregory vs. Oppenheimer Gold Special |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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