Correlation Between Bankers Investment and Bell Food
Can any of the company-specific risk be diversified away by investing in both Bankers Investment 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 Bankers Investment and Bell Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bankers Investment Trust and Bell Food Group, you can compare the effects of market volatilities on Bankers Investment 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 Bankers Investment with a short position of Bell Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bankers Investment and Bell Food.
Diversification Opportunities for Bankers Investment and Bell Food
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Bankers and Bell is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding Bankers Investment Trust 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 Bankers Investment 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 Bankers Investment Trust 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 Bankers Investment i.e., Bankers Investment and Bell Food go up and down completely randomly.
Pair Corralation between Bankers Investment and Bell Food
Assuming the 90 days trading horizon Bankers Investment Trust is expected to under-perform the Bell Food. But the fund apears to be less risky and, when comparing its historical volatility, Bankers Investment Trust is 1.28 times less risky than Bell Food. The fund trades about -0.04 of its potential returns per unit of risk. The Bell Food Group is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 26,150 in Bell Food Group on December 31, 2024 and sell it today you would lose (700.00) from holding Bell Food Group or give up 2.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bankers Investment Trust vs. Bell Food Group
Performance |
Timeline |
Bankers Investment Trust |
Bell Food Group |
Bankers Investment and Bell Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bankers Investment and Bell Food
The main advantage of trading using opposite Bankers Investment and Bell Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bankers Investment 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.Bankers Investment vs. Brunner Investment Trust | Bankers Investment vs. Schroder Asian Alpha | Bankers Investment vs. Artemisome I | Bankers Investment vs. iShares Continental European |
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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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