Correlation Between Champlain Mid and State Farm
Can any of the company-specific risk be diversified away by investing in both Champlain Mid and State Farm 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 State Farm 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 State Farm Growth, you can compare the effects of market volatilities on Champlain Mid and State Farm 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 State Farm. Check out your portfolio center. Please also check ongoing floating volatility patterns of Champlain Mid and State Farm.
Diversification Opportunities for Champlain Mid and State Farm
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Champlain and State is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Champlain Mid Cap and State Farm Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on State Farm Growth 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 State Farm. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of State Farm Growth has no effect on the direction of Champlain Mid i.e., Champlain Mid and State Farm go up and down completely randomly.
Pair Corralation between Champlain Mid and State Farm
Assuming the 90 days horizon Champlain Mid Cap is expected to under-perform the State Farm. In addition to that, Champlain Mid is 1.02 times more volatile than State Farm Growth. It trades about -0.28 of its total potential returns per unit of risk. State Farm Growth is currently generating about -0.21 per unit of volatility. If you would invest 13,219 in State Farm Growth on October 9, 2024 and sell it today you would lose (1,290) from holding State Farm Growth or give up 9.76% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Champlain Mid Cap vs. State Farm Growth
Performance |
Timeline |
Champlain Mid Cap |
State Farm Growth |
Champlain Mid and State Farm Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Champlain Mid and State Farm
The main advantage of trading using opposite Champlain Mid and State Farm positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Champlain Mid position performs unexpectedly, State Farm 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 State Farm will offset losses from the drop in State Farm'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 |
State Farm vs. Amg River Road | State Farm vs. Victory Rs Partners | State Farm vs. Fpa Queens Road | State Farm vs. Ultramid Cap Profund Ultramid Cap |
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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