Correlation Between Bell Food and Gamma Communications
Can any of the company-specific risk be diversified away by investing in both Bell Food and Gamma Communications 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 Bell Food and Gamma Communications into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bell Food Group and Gamma Communications PLC, you can compare the effects of market volatilities on Bell Food and Gamma Communications 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 Bell Food with a short position of Gamma Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bell Food and Gamma Communications.
Diversification Opportunities for Bell Food and Gamma Communications
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between Bell and Gamma is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding Bell Food Group and Gamma Communications PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gamma Communications PLC and Bell Food 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 Bell Food Group are associated (or correlated) with Gamma Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gamma Communications PLC has no effect on the direction of Bell Food i.e., Bell Food and Gamma Communications go up and down completely randomly.
Pair Corralation between Bell Food and Gamma Communications
Assuming the 90 days trading horizon Bell Food is expected to generate 3.78 times less return on investment than Gamma Communications. But when comparing it to its historical volatility, Bell Food Group is 1.34 times less risky than Gamma Communications. It trades about 0.02 of its potential returns per unit of risk. Gamma Communications PLC is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 105,492 in Gamma Communications PLC on September 20, 2024 and sell it today you would earn a total of 50,508 from holding Gamma Communications PLC or generate 47.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 99.6% |
Values | Daily Returns |
Bell Food Group vs. Gamma Communications PLC
Performance |
Timeline |
Bell Food Group |
Gamma Communications PLC |
Bell Food and Gamma Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bell Food and Gamma Communications
The main advantage of trading using opposite Bell Food and Gamma Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bell Food position performs unexpectedly, Gamma Communications 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 Gamma Communications will offset losses from the drop in Gamma Communications' long position.Bell Food vs. Samsung Electronics Co | Bell Food vs. Samsung Electronics Co | Bell Food vs. Hyundai Motor | Bell Food vs. Reliance Industries Ltd |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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