Correlation Between Kinetics Paradigm and Amg Managers
Can any of the company-specific risk be diversified away by investing in both Kinetics Paradigm and Amg Managers 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 Amg Managers 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 Amg Managers Loomis, you can compare the effects of market volatilities on Kinetics Paradigm and Amg Managers 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 Amg Managers. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kinetics Paradigm and Amg Managers.
Diversification Opportunities for Kinetics Paradigm and Amg Managers
-0.79 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Kinetics and Amg is -0.79. Overlapping area represents the amount of risk that can be diversified away by holding Kinetics Paradigm Fund and Amg Managers Loomis in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amg Managers Loomis 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 Amg Managers. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amg Managers Loomis has no effect on the direction of Kinetics Paradigm i.e., Kinetics Paradigm and Amg Managers go up and down completely randomly.
Pair Corralation between Kinetics Paradigm and Amg Managers
Assuming the 90 days horizon Kinetics Paradigm Fund is expected to generate 7.85 times more return on investment than Amg Managers. However, Kinetics Paradigm is 7.85 times more volatile than Amg Managers Loomis. It trades about 0.4 of its potential returns per unit of risk. Amg Managers Loomis is currently generating about -0.06 per unit of risk. If you would invest 10,363 in Kinetics Paradigm Fund on September 2, 2024 and sell it today you would earn a total of 7,922 from holding Kinetics Paradigm Fund or generate 76.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kinetics Paradigm Fund vs. Amg Managers Loomis
Performance |
Timeline |
Kinetics Paradigm |
Amg Managers Loomis |
Kinetics Paradigm and Amg Managers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kinetics Paradigm and Amg Managers
The main advantage of trading using opposite Kinetics Paradigm and Amg Managers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kinetics Paradigm position performs unexpectedly, Amg Managers 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 Amg Managers will offset losses from the drop in Amg Managers' long position.Kinetics Paradigm vs. Kinetics Global Fund | Kinetics Paradigm vs. Kinetics Global Fund | Kinetics Paradigm vs. Kinetics Internet Fund | Kinetics Paradigm vs. Kinetics Global Fund |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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