Correlation Between Argo Group and Hilton Food
Can any of the company-specific risk be diversified away by investing in both Argo Group and Hilton 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 Argo Group and Hilton Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Argo Group Limited and Hilton Food Group, you can compare the effects of market volatilities on Argo Group and Hilton 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 Argo Group with a short position of Hilton Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Argo Group and Hilton Food.
Diversification Opportunities for Argo Group and Hilton Food
-0.59 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Argo and Hilton is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Argo Group Limited and Hilton Food Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hilton Food Group and Argo Group 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 Argo Group Limited are associated (or correlated) with Hilton Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hilton Food Group has no effect on the direction of Argo Group i.e., Argo Group and Hilton Food go up and down completely randomly.
Pair Corralation between Argo Group and Hilton Food
Assuming the 90 days trading horizon Argo Group Limited is expected to generate 1.96 times more return on investment than Hilton Food. However, Argo Group is 1.96 times more volatile than Hilton Food Group. It trades about 0.21 of its potential returns per unit of risk. Hilton Food Group is currently generating about -0.09 per unit of risk. If you would invest 400.00 in Argo Group Limited on November 4, 2024 and sell it today you would earn a total of 50.00 from holding Argo Group Limited or generate 12.5% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Argo Group Limited vs. Hilton Food Group
Performance |
| Timeline |
| Argo Group Limited |
| Hilton Food Group |
Argo Group and Hilton Food Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Argo Group and Hilton Food
The main advantage of trading using opposite Argo Group and Hilton Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Argo Group position performs unexpectedly, Hilton 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 Hilton Food will offset losses from the drop in Hilton Food's long position.| Argo Group vs. Aeorema Communications Plc | Argo Group vs. MTI Wireless Edge | Argo Group vs. Cairo Communication SpA | Argo Group vs. Infrastrutture Wireless Italiane |
| Hilton Food vs. Datagroup SE | Hilton Food vs. International Biotechnology Trust | Hilton Food vs. Coor Service Management | Hilton Food vs. Premier Foods PLC |
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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