Correlation Between Retail Food and FOS Capital
Can any of the company-specific risk be diversified away by investing in both Retail Food and FOS Capital 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 FOS Capital 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 FOS Capital, you can compare the effects of market volatilities on Retail Food and FOS Capital 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 FOS Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Retail Food and FOS Capital.
Diversification Opportunities for Retail Food and FOS Capital
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Retail and FOS is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Retail Food Group and FOS Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FOS Capital 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 FOS Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FOS Capital has no effect on the direction of Retail Food i.e., Retail Food and FOS Capital go up and down completely randomly.
Pair Corralation between Retail Food and FOS Capital
Assuming the 90 days trading horizon Retail Food Group is expected to generate 0.62 times more return on investment than FOS Capital. However, Retail Food Group is 1.62 times less risky than FOS Capital. It trades about 0.11 of its potential returns per unit of risk. FOS Capital is currently generating about 0.03 per unit of risk. If you would invest 179.00 in Retail Food Group on April 20, 2025 and sell it today you would earn a total of 25.00 from holding Retail Food Group or generate 13.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Retail Food Group vs. FOS Capital
Performance |
Timeline |
Retail Food Group |
FOS Capital |
Retail Food and FOS Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Retail Food and FOS Capital
The main advantage of trading using opposite Retail Food and FOS Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Retail Food position performs unexpectedly, FOS Capital 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 FOS Capital will offset losses from the drop in FOS Capital's long position.Retail Food vs. Acorn Capital Investment | Retail Food vs. Clime Investment Management | Retail Food vs. Pinnacle Investment Management | Retail Food vs. Alternative Investment Trust |
FOS Capital vs. Super Retail Group | FOS Capital vs. Hastings Technology Metals | FOS Capital vs. Stelar Metals | FOS Capital vs. Macquarie Technology Group |
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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
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