Correlation Between Lebenthal Lisanti and Ridgeworth Seix
Can any of the company-specific risk be diversified away by investing in both Lebenthal Lisanti and Ridgeworth Seix 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 Lebenthal Lisanti and Ridgeworth Seix into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lebenthal Lisanti Small and Ridgeworth Seix E, you can compare the effects of market volatilities on Lebenthal Lisanti and Ridgeworth Seix 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 Lebenthal Lisanti with a short position of Ridgeworth Seix. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lebenthal Lisanti and Ridgeworth Seix.
Diversification Opportunities for Lebenthal Lisanti and Ridgeworth Seix
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Lebenthal and Ridgeworth is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Lebenthal Lisanti Small and Ridgeworth Seix E in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ridgeworth Seix E and Lebenthal Lisanti 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 Lebenthal Lisanti Small are associated (or correlated) with Ridgeworth Seix. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ridgeworth Seix E has no effect on the direction of Lebenthal Lisanti i.e., Lebenthal Lisanti and Ridgeworth Seix go up and down completely randomly.
Pair Corralation between Lebenthal Lisanti and Ridgeworth Seix
Assuming the 90 days horizon Lebenthal Lisanti Small is expected to generate 4.22 times more return on investment than Ridgeworth Seix. However, Lebenthal Lisanti is 4.22 times more volatile than Ridgeworth Seix E. It trades about 0.08 of its potential returns per unit of risk. Ridgeworth Seix E is currently generating about 0.06 per unit of risk. If you would invest 2,145 in Lebenthal Lisanti Small on October 23, 2024 and sell it today you would earn a total of 34.00 from holding Lebenthal Lisanti Small or generate 1.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lebenthal Lisanti Small vs. Ridgeworth Seix E
Performance |
Timeline |
Lebenthal Lisanti Small |
Ridgeworth Seix E |
Lebenthal Lisanti and Ridgeworth Seix Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lebenthal Lisanti and Ridgeworth Seix
The main advantage of trading using opposite Lebenthal Lisanti and Ridgeworth Seix positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lebenthal Lisanti position performs unexpectedly, Ridgeworth Seix 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 Ridgeworth Seix will offset losses from the drop in Ridgeworth Seix's long position.Lebenthal Lisanti vs. Lord Abbett Growth | Lebenthal Lisanti vs. Queens Road Small | Lebenthal Lisanti vs. Eaton Vance Large Cap |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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