Correlation Between Ford and Avery Dennison
Can any of the company-specific risk be diversified away by investing in both Ford and Avery Dennison 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 Ford and Avery Dennison into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Avery Dennison, you can compare the effects of market volatilities on Ford and Avery Dennison 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 Ford with a short position of Avery Dennison. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Avery Dennison.
Diversification Opportunities for Ford and Avery Dennison
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Ford and Avery is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Avery Dennison in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Avery Dennison and Ford 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 Ford Motor are associated (or correlated) with Avery Dennison. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Avery Dennison has no effect on the direction of Ford i.e., Ford and Avery Dennison go up and down completely randomly.
Pair Corralation between Ford and Avery Dennison
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Avery Dennison. In addition to that, Ford is 32.13 times more volatile than Avery Dennison. It trades about -0.16 of its total potential returns per unit of risk. Avery Dennison is currently generating about 0.16 per unit of volatility. If you would invest 57,767 in Avery Dennison on October 7, 2024 and sell it today you would earn a total of 175.00 from holding Avery Dennison or generate 0.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 92.68% |
Values | Daily Returns |
Ford Motor vs. Avery Dennison
Performance |
Timeline |
Ford Motor |
Avery Dennison |
Ford and Avery Dennison Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Avery Dennison
The main advantage of trading using opposite Ford and Avery Dennison positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Avery Dennison 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 Avery Dennison will offset losses from the drop in Avery Dennison's long position.The idea behind Ford Motor and Avery Dennison pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Avery Dennison vs. salesforce inc | Avery Dennison vs. Charter Communications | Avery Dennison vs. Arrow Electronics, | Avery Dennison vs. The Home Depot |
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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