Correlation Between Avery Dennison and Manufatura
Can any of the company-specific risk be diversified away by investing in both Avery Dennison and Manufatura 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 Avery Dennison and Manufatura into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Avery Dennison and Manufatura de Brinquedos, you can compare the effects of market volatilities on Avery Dennison and Manufatura 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 Avery Dennison with a short position of Manufatura. Check out your portfolio center. Please also check ongoing floating volatility patterns of Avery Dennison and Manufatura.
Diversification Opportunities for Avery Dennison and Manufatura
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Avery and Manufatura is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Avery Dennison and Manufatura de Brinquedos in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Manufatura de Brinquedos and Avery Dennison 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 Avery Dennison are associated (or correlated) with Manufatura. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Manufatura de Brinquedos has no effect on the direction of Avery Dennison i.e., Avery Dennison and Manufatura go up and down completely randomly.
Pair Corralation between Avery Dennison and Manufatura
Assuming the 90 days trading horizon Avery Dennison is expected to generate 0.63 times more return on investment than Manufatura. However, Avery Dennison is 1.59 times less risky than Manufatura. It trades about -0.12 of its potential returns per unit of risk. Manufatura de Brinquedos is currently generating about -0.12 per unit of risk. If you would invest 57,745 in Avery Dennison on December 30, 2024 and sell it today you would lose (4,564) from holding Avery Dennison or give up 7.9% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Avery Dennison vs. Manufatura de Brinquedos
Performance |
Timeline |
Avery Dennison |
Manufatura de Brinquedos |
Avery Dennison and Manufatura Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Avery Dennison and Manufatura
The main advantage of trading using opposite Avery Dennison and Manufatura positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Avery Dennison position performs unexpectedly, Manufatura 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 Manufatura will offset losses from the drop in Manufatura's long position.Avery Dennison vs. Seagate Technology Holdings | Avery Dennison vs. Zoom Video Communications | Avery Dennison vs. Charter Communications | Avery Dennison vs. Waste Management |
Manufatura vs. Inepar SA Indstria | Manufatura vs. Bombril SA | Manufatura vs. Hotis Othon SA | Manufatura vs. Hrcules SA |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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