Correlation Between Polar Capital and AMG Advanced
Can any of the company-specific risk be diversified away by investing in both Polar Capital and AMG Advanced 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 Polar Capital and AMG Advanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Polar Capital Technology and AMG Advanced Metallurgical, you can compare the effects of market volatilities on Polar Capital and AMG Advanced 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 Polar Capital with a short position of AMG Advanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of Polar Capital and AMG Advanced.
Diversification Opportunities for Polar Capital and AMG Advanced
-0.77 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Polar and AMG is -0.77. Overlapping area represents the amount of risk that can be diversified away by holding Polar Capital Technology and AMG Advanced Metallurgical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AMG Advanced Metallu and Polar Capital 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 Polar Capital Technology are associated (or correlated) with AMG Advanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AMG Advanced Metallu has no effect on the direction of Polar Capital i.e., Polar Capital and AMG Advanced go up and down completely randomly.
Pair Corralation between Polar Capital and AMG Advanced
Assuming the 90 days trading horizon Polar Capital Technology is expected to generate 0.55 times more return on investment than AMG Advanced. However, Polar Capital Technology is 1.83 times less risky than AMG Advanced. It trades about 0.22 of its potential returns per unit of risk. AMG Advanced Metallurgical is currently generating about -0.08 per unit of risk. If you would invest 29,400 in Polar Capital Technology on September 17, 2024 and sell it today you would earn a total of 5,350 from holding Polar Capital Technology or generate 18.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Polar Capital Technology vs. AMG Advanced Metallurgical
Performance |
Timeline |
Polar Capital Technology |
AMG Advanced Metallu |
Polar Capital and AMG Advanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Polar Capital and AMG Advanced
The main advantage of trading using opposite Polar Capital and AMG Advanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Polar Capital position performs unexpectedly, AMG Advanced 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 Advanced will offset losses from the drop in AMG Advanced's long position.Polar Capital vs. Hansa Investment | Polar Capital vs. Edita Food Industries | Polar Capital vs. Odyssean Investment Trust | Polar Capital vs. Federal Realty Investment |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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