Correlation Between Kinetics Paradigm and Champlain Small
Can any of the company-specific risk be diversified away by investing in both Kinetics Paradigm and Champlain Small 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 Kinetics Paradigm and Champlain Small into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kinetics Paradigm Fund and Champlain Small Pany, you can compare the effects of market volatilities on Kinetics Paradigm and Champlain Small 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 Kinetics Paradigm with a short position of Champlain Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kinetics Paradigm and Champlain Small.
Diversification Opportunities for Kinetics Paradigm and Champlain Small
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Kinetics and Champlain is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Kinetics Paradigm Fund and Champlain Small Pany in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Champlain Small Pany and Kinetics Paradigm 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 Kinetics Paradigm Fund are associated (or correlated) with Champlain Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Champlain Small Pany has no effect on the direction of Kinetics Paradigm i.e., Kinetics Paradigm and Champlain Small go up and down completely randomly.
Pair Corralation between Kinetics Paradigm and Champlain Small
Assuming the 90 days horizon Kinetics Paradigm Fund is expected to generate 1.93 times more return on investment than Champlain Small. However, Kinetics Paradigm is 1.93 times more volatile than Champlain Small Pany. It trades about 0.1 of its potential returns per unit of risk. Champlain Small Pany is currently generating about 0.02 per unit of risk. If you would invest 7,133 in Kinetics Paradigm Fund on February 8, 2025 and sell it today you would earn a total of 5,565 from holding Kinetics Paradigm Fund or generate 78.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Kinetics Paradigm Fund vs. Champlain Small Pany
Performance |
Timeline |
Kinetics Paradigm |
Champlain Small Pany |
Kinetics Paradigm and Champlain Small Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kinetics Paradigm and Champlain Small
The main advantage of trading using opposite Kinetics Paradigm and Champlain Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kinetics Paradigm position performs unexpectedly, Champlain Small 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 Champlain Small will offset losses from the drop in Champlain Small's long position.Kinetics Paradigm vs. Old Westbury Fixed | Kinetics Paradigm vs. Pace Strategic Fixed | Kinetics Paradigm vs. Ft 9331 Corporate | Kinetics Paradigm vs. Rbc Ultra Short Fixed |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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