Correlation Between Lebenthal Lisanti and T Rowe
Can any of the company-specific risk be diversified away by investing in both Lebenthal Lisanti and T Rowe 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 T Rowe 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 T Rowe Price, you can compare the effects of market volatilities on Lebenthal Lisanti and T Rowe 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 T Rowe. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lebenthal Lisanti and T Rowe.
Diversification Opportunities for Lebenthal Lisanti and T Rowe
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Lebenthal and PHEIX is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Lebenthal Lisanti Small and T Rowe Price in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on T Rowe Price 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 T Rowe. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of T Rowe Price has no effect on the direction of Lebenthal Lisanti i.e., Lebenthal Lisanti and T Rowe go up and down completely randomly.
Pair Corralation between Lebenthal Lisanti and T Rowe
Assuming the 90 days horizon Lebenthal Lisanti Small is expected to generate 2.4 times more return on investment than T Rowe. However, Lebenthal Lisanti is 2.4 times more volatile than T Rowe Price. It trades about 0.16 of its potential returns per unit of risk. T Rowe Price is currently generating about 0.18 per unit of risk. If you would invest 1,897 in Lebenthal Lisanti Small on May 19, 2025 and sell it today you would earn a total of 236.00 from holding Lebenthal Lisanti Small or generate 12.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Lebenthal Lisanti Small vs. T Rowe Price
Performance |
Timeline |
Lebenthal Lisanti Small |
T Rowe Price |
Lebenthal Lisanti and T Rowe Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lebenthal Lisanti and T Rowe
The main advantage of trading using opposite Lebenthal Lisanti and T Rowe positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lebenthal Lisanti position performs unexpectedly, T Rowe 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 T Rowe will offset losses from the drop in T Rowe's long position.Lebenthal Lisanti vs. Gurtin California Muni | Lebenthal Lisanti vs. Morningstar Municipal Bond | Lebenthal Lisanti vs. California Municipal Portfolio | Lebenthal Lisanti vs. Lord Abbett Intermediate |
T Rowe vs. Absolute Convertible Arbitrage | T Rowe vs. Gabelli Convertible And | T Rowe vs. Fidelity Sai Convertible | T Rowe vs. Columbia Convertible Securities |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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