Correlation Between SENECA FOODS and Poste Italiane
Can any of the company-specific risk be diversified away by investing in both SENECA FOODS and Poste Italiane 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 SENECA FOODS and Poste Italiane into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SENECA FOODS A and Poste Italiane SpA, you can compare the effects of market volatilities on SENECA FOODS and Poste Italiane 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 SENECA FOODS with a short position of Poste Italiane. Check out your portfolio center. Please also check ongoing floating volatility patterns of SENECA FOODS and Poste Italiane.
Diversification Opportunities for SENECA FOODS and Poste Italiane
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between SENECA and Poste is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding SENECA FOODS A and Poste Italiane SpA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Poste Italiane SpA and SENECA FOODS 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 SENECA FOODS A are associated (or correlated) with Poste Italiane. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Poste Italiane SpA has no effect on the direction of SENECA FOODS i.e., SENECA FOODS and Poste Italiane go up and down completely randomly.
Pair Corralation between SENECA FOODS and Poste Italiane
Assuming the 90 days trading horizon SENECA FOODS A is expected to generate 1.97 times more return on investment than Poste Italiane. However, SENECA FOODS is 1.97 times more volatile than Poste Italiane SpA. It trades about 0.12 of its potential returns per unit of risk. Poste Italiane SpA is currently generating about 0.1 per unit of risk. If you would invest 5,150 in SENECA FOODS A on September 24, 2024 and sell it today you would earn a total of 2,100 from holding SENECA FOODS A or generate 40.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
SENECA FOODS A vs. Poste Italiane SpA
Performance |
Timeline |
SENECA FOODS A |
Poste Italiane SpA |
SENECA FOODS and Poste Italiane Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SENECA FOODS and Poste Italiane
The main advantage of trading using opposite SENECA FOODS and Poste Italiane positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SENECA FOODS position performs unexpectedly, Poste Italiane 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 Poste Italiane will offset losses from the drop in Poste Italiane's long position.SENECA FOODS vs. National Beverage Corp | SENECA FOODS vs. PT Indofood Sukses | SENECA FOODS vs. Food Life Companies | SENECA FOODS vs. TYSON FOODS A |
Poste Italiane vs. Nomad Foods | Poste Italiane vs. GRUPO CARSO A1 | Poste Italiane vs. SENECA FOODS A | Poste Italiane vs. PLANT VEDA FOODS |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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