Correlation Between British American and Bell Food
Can any of the company-specific risk be diversified away by investing in both British American 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 British American and Bell Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between British American Tobacco and Bell Food Group, you can compare the effects of market volatilities on British American 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 British American with a short position of Bell Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of British American and Bell Food.
Diversification Opportunities for British American and Bell Food
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between British and Bell is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding British American Tobacco 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 British American 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 British American Tobacco 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 British American i.e., British American and Bell Food go up and down completely randomly.
Pair Corralation between British American and Bell Food
Assuming the 90 days trading horizon British American Tobacco is expected to generate 1.84 times more return on investment than Bell Food. However, British American is 1.84 times more volatile than Bell Food Group. It trades about 0.49 of its potential returns per unit of risk. Bell Food Group is currently generating about 0.05 per unit of risk. If you would invest 3,489 in British American Tobacco on August 29, 2024 and sell it today you would earn a total of 264.00 from holding British American Tobacco or generate 7.57% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 95.65% |
| Values | Daily Returns |
British American Tobacco vs. Bell Food Group
Performance |
| Timeline |
| British American Tobacco |
| Bell Food Group |
British American and Bell Food Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with British American and Bell Food
The main advantage of trading using opposite British American and Bell Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if British American 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.| British American vs. Lendinvest PLC | British American vs. Neometals | British American vs. Coor Service Management | British American vs. Albion Technology General |
| Bell Food vs. Lendinvest PLC | Bell Food vs. Neometals | Bell Food vs. Coor Service Management | Bell Food vs. Albion Technology General |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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