Correlation Between Food Life and Rogers Communications
Can any of the company-specific risk be diversified away by investing in both Food Life and Rogers 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 Food Life and Rogers Communications into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Food Life Companies and Rogers Communications, you can compare the effects of market volatilities on Food Life and Rogers 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 Food Life with a short position of Rogers Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of Food Life and Rogers Communications.
Diversification Opportunities for Food Life and Rogers Communications
-0.77 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Food and Rogers is -0.77. Overlapping area represents the amount of risk that can be diversified away by holding Food Life Companies and Rogers Communications in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Rogers Communications and Food Life 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 Food Life Companies are associated (or correlated) with Rogers Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Rogers Communications has no effect on the direction of Food Life i.e., Food Life and Rogers Communications go up and down completely randomly.
Pair Corralation between Food Life and Rogers Communications
Assuming the 90 days horizon Food Life Companies is expected to generate 1.44 times more return on investment than Rogers Communications. However, Food Life is 1.44 times more volatile than Rogers Communications. It trades about 0.21 of its potential returns per unit of risk. Rogers Communications is currently generating about -0.08 per unit of risk. If you would invest 1,690 in Food Life Companies on September 2, 2024 and sell it today you would earn a total of 450.00 from holding Food Life Companies or generate 26.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Food Life Companies vs. Rogers Communications
Performance |
Timeline |
Food Life Companies |
Rogers Communications |
Food Life and Rogers Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Food Life and Rogers Communications
The main advantage of trading using opposite Food Life and Rogers Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Food Life position performs unexpectedly, Rogers 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 Rogers Communications will offset losses from the drop in Rogers Communications' long position.Food Life vs. Insurance Australia Group | Food Life vs. United Insurance Holdings | Food Life vs. American Airlines Group | Food Life vs. SINGAPORE AIRLINES |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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