Correlation Between Applied Materials and Bell Food
Can any of the company-specific risk be diversified away by investing in both Applied Materials and Bell Food 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 Applied Materials and Bell Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Applied Materials and Bell Food Group, you can compare the effects of market volatilities on Applied Materials and Bell Food 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 Applied Materials with a short position of Bell Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Applied Materials and Bell Food.
Diversification Opportunities for Applied Materials and Bell Food
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Applied and Bell is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Applied Materials and Bell Food Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bell Food Group and Applied Materials 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 Applied Materials are associated (or correlated) with Bell Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bell Food Group has no effect on the direction of Applied Materials i.e., Applied Materials and Bell Food go up and down completely randomly.
Pair Corralation between Applied Materials and Bell Food
Assuming the 90 days trading horizon Applied Materials is expected to under-perform the Bell Food. In addition to that, Applied Materials is 2.69 times more volatile than Bell Food Group. It trades about -0.04 of its total potential returns per unit of risk. Bell Food Group is currently generating about 0.01 per unit of volatility. If you would invest 26,600 in Bell Food Group on September 27, 2024 and sell it today you would earn a total of 50.00 from holding Bell Food Group or generate 0.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 90.91% |
Values | Daily Returns |
Applied Materials vs. Bell Food Group
Performance |
Timeline |
Applied Materials |
Bell Food Group |
Applied Materials and Bell Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Applied Materials and Bell Food
The main advantage of trading using opposite Applied Materials and Bell Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Applied Materials position performs unexpectedly, Bell Food 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 Bell Food will offset losses from the drop in Bell Food's long position.Applied Materials vs. Uniper SE | Applied Materials vs. Mulberry Group PLC | Applied Materials vs. London Security Plc | Applied Materials vs. Triad Group PLC |
Bell Food vs. Aurora Investment Trust | Bell Food vs. Porvair plc | Bell Food vs. British American Tobacco | Bell Food vs. Taylor Maritime Investments |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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