Correlation Between Intersport Polska and M Food
Can any of the company-specific risk be diversified away by investing in both Intersport Polska and M 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 Intersport Polska and M Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Intersport Polska SA and M Food SA, you can compare the effects of market volatilities on Intersport Polska and M 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 Intersport Polska with a short position of M Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of Intersport Polska and M Food.
Diversification Opportunities for Intersport Polska and M Food
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Intersport and MFD is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Intersport Polska SA and M Food SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on M Food SA and Intersport Polska 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 Intersport Polska SA are associated (or correlated) with M Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of M Food SA has no effect on the direction of Intersport Polska i.e., Intersport Polska and M Food go up and down completely randomly.
Pair Corralation between Intersport Polska and M Food
Assuming the 90 days trading horizon Intersport Polska SA is expected to under-perform the M Food. But the stock apears to be less risky and, when comparing its historical volatility, Intersport Polska SA is 1.35 times less risky than M Food. The stock trades about -0.11 of its potential returns per unit of risk. The M Food SA is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 79.00 in M Food SA on December 30, 2024 and sell it today you would earn a total of 41.00 from holding M Food SA or generate 51.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 84.13% |
Values | Daily Returns |
Intersport Polska SA vs. M Food SA
Performance |
Timeline |
Intersport Polska |
M Food SA |
Risk-Adjusted Performance
Good
Weak | Strong |
Intersport Polska and M Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Intersport Polska and M Food
The main advantage of trading using opposite Intersport Polska and M Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Intersport Polska position performs unexpectedly, M 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 M Food will offset losses from the drop in M Food's long position.Intersport Polska vs. PZ Cormay SA | Intersport Polska vs. Investment Friends Capital | Intersport Polska vs. Play2Chill SA | Intersport Polska vs. LSI Software SA |
M Food vs. Alior Bank SA | M Food vs. Monnari Trade SA | M Food vs. Bank Millennium SA | M Food vs. Investment Friends Capital |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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