Correlation Between Champlain Small and Lebenthal Lisanti
Can any of the company-specific risk be diversified away by investing in both Champlain Small and Lebenthal Lisanti 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 Champlain Small and Lebenthal Lisanti into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Champlain Small and Lebenthal Lisanti Small, you can compare the effects of market volatilities on Champlain Small and Lebenthal Lisanti 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 Champlain Small with a short position of Lebenthal Lisanti. Check out your portfolio center. Please also check ongoing floating volatility patterns of Champlain Small and Lebenthal Lisanti.
Diversification Opportunities for Champlain Small and Lebenthal Lisanti
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Champlain and Lebenthal is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Champlain Small and Lebenthal Lisanti Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lebenthal Lisanti Small and Champlain Small 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 Champlain Small are associated (or correlated) with Lebenthal Lisanti. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lebenthal Lisanti Small has no effect on the direction of Champlain Small i.e., Champlain Small and Lebenthal Lisanti go up and down completely randomly.
Pair Corralation between Champlain Small and Lebenthal Lisanti
Assuming the 90 days horizon Champlain Small is expected to generate 0.66 times more return on investment than Lebenthal Lisanti. However, Champlain Small is 1.51 times less risky than Lebenthal Lisanti. It trades about -0.09 of its potential returns per unit of risk. Lebenthal Lisanti Small is currently generating about -0.19 per unit of risk. If you would invest 2,251 in Champlain Small on December 29, 2024 and sell it today you would lose (149.00) from holding Champlain Small or give up 6.62% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Champlain Small vs. Lebenthal Lisanti Small
Performance |
Timeline |
Champlain Small |
Lebenthal Lisanti Small |
Champlain Small and Lebenthal Lisanti Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Champlain Small and Lebenthal Lisanti
The main advantage of trading using opposite Champlain Small and Lebenthal Lisanti positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Champlain Small position performs unexpectedly, Lebenthal Lisanti 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 Lebenthal Lisanti will offset losses from the drop in Lebenthal Lisanti's long position.Champlain Small vs. The Hartford Midcap | Champlain Small vs. Mfs Emerging Markets | Champlain Small vs. Wells Fargo Special | Champlain Small vs. Washington Mutual Investors |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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