Correlation Between Retail Food and COG Financial
Can any of the company-specific risk be diversified away by investing in both Retail Food and COG Financial 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 Retail Food and COG Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Retail Food Group and COG Financial Services, you can compare the effects of market volatilities on Retail Food and COG Financial 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 Retail Food with a short position of COG Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Retail Food and COG Financial.
Diversification Opportunities for Retail Food and COG Financial
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Retail and COG is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Retail Food Group and COG Financial Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on COG Financial Services and Retail 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 Retail Food Group are associated (or correlated) with COG Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of COG Financial Services has no effect on the direction of Retail Food i.e., Retail Food and COG Financial go up and down completely randomly.
Pair Corralation between Retail Food and COG Financial
Assuming the 90 days trading horizon Retail Food Group is expected to generate 1.49 times more return on investment than COG Financial. However, Retail Food is 1.49 times more volatile than COG Financial Services. It trades about 0.0 of its potential returns per unit of risk. COG Financial Services is currently generating about -0.01 per unit of risk. If you would invest 356.00 in Retail Food Group on October 2, 2024 and sell it today you would lose (101.00) from holding Retail Food Group or give up 28.37% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Retail Food Group vs. COG Financial Services
Performance |
Timeline |
Retail Food Group |
COG Financial Services |
Retail Food and COG Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Retail Food and COG Financial
The main advantage of trading using opposite Retail Food and COG Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Retail Food position performs unexpectedly, COG Financial 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 COG Financial will offset losses from the drop in COG Financial's long position.Retail Food vs. Aneka Tambang Tbk | Retail Food vs. ANZ Group Holdings | Retail Food vs. Australia and New | Retail Food vs. ANZ Group Holdings |
COG Financial vs. Aneka Tambang Tbk | COG Financial vs. Commonwealth Bank of | COG Financial vs. Australia and New | COG Financial vs. ANZ Group Holdings |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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