Correlation Between LSI Software and M Food
Can any of the company-specific risk be diversified away by investing in both LSI Software 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 LSI Software and M Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LSI Software SA and M Food SA, you can compare the effects of market volatilities on LSI Software 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 LSI Software with a short position of M Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of LSI Software and M Food.
Diversification Opportunities for LSI Software and M Food
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between LSI and MFD is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding LSI Software 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 LSI Software 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 LSI Software 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 LSI Software i.e., LSI Software and M Food go up and down completely randomly.
Pair Corralation between LSI Software and M Food
Assuming the 90 days trading horizon LSI Software is expected to generate 14.33 times less return on investment than M Food. But when comparing it to its historical volatility, LSI Software SA is 2.59 times less risky than M Food. It trades about 0.02 of its potential returns per unit of risk. M Food SA is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 96.00 in M Food SA on September 3, 2024 and sell it today you would earn a total of 17.00 from holding M Food SA or generate 17.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 60.32% |
Values | Daily Returns |
LSI Software SA vs. M Food SA
Performance |
Timeline |
LSI Software SA |
M Food SA |
LSI Software and M Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LSI Software and M Food
The main advantage of trading using opposite LSI Software and M Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LSI Software 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.The idea behind LSI Software SA and M Food SA pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.M Food vs. Asseco Business Solutions | M Food vs. Kogeneracja SA | M Food vs. Asseco South Eastern | M Food vs. Movie Games SA |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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