Correlation Between Champlain Mid and Walden Midcap
Can any of the company-specific risk be diversified away by investing in both Champlain Mid and Walden Midcap 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 Mid and Walden Midcap into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Champlain Mid Cap and Walden Midcap Fund, you can compare the effects of market volatilities on Champlain Mid and Walden Midcap 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 Mid with a short position of Walden Midcap. Check out your portfolio center. Please also check ongoing floating volatility patterns of Champlain Mid and Walden Midcap.
Diversification Opportunities for Champlain Mid and Walden Midcap
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Champlain and Walden is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Champlain Mid Cap and Walden Midcap Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Walden Midcap and Champlain Mid 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 Mid Cap are associated (or correlated) with Walden Midcap. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Walden Midcap has no effect on the direction of Champlain Mid i.e., Champlain Mid and Walden Midcap go up and down completely randomly.
Pair Corralation between Champlain Mid and Walden Midcap
Assuming the 90 days horizon Champlain Mid Cap is expected to generate 1.16 times more return on investment than Walden Midcap. However, Champlain Mid is 1.16 times more volatile than Walden Midcap Fund. It trades about 0.23 of its potential returns per unit of risk. Walden Midcap Fund is currently generating about 0.21 per unit of risk. If you would invest 2,304 in Champlain Mid Cap on November 4, 2024 and sell it today you would earn a total of 78.00 from holding Champlain Mid Cap or generate 3.39% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Champlain Mid Cap vs. Walden Midcap Fund
Performance |
| Timeline |
| Champlain Mid Cap |
| Walden Midcap |
Champlain Mid and Walden Midcap Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Champlain Mid and Walden Midcap
The main advantage of trading using opposite Champlain Mid and Walden Midcap positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Champlain Mid position performs unexpectedly, Walden Midcap 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 Walden Midcap will offset losses from the drop in Walden Midcap's long position.| Champlain Mid vs. Champlain Small Pany | Champlain Mid vs. T Rowe Price | Champlain Mid vs. American Mutual Fund | Champlain Mid vs. Loomis Sayles Growth |
| Walden Midcap vs. Boston Trust Midcap | Walden Midcap vs. Walden Equity Fund | Walden Midcap vs. Mid Cap Value | Walden Midcap vs. Blackrock Total Stock |
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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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