Correlation Between Magic Software and Food Life
Can any of the company-specific risk be diversified away by investing in both Magic Software and Food Life 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 Magic Software and Food Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Magic Software Enterprises and Food Life Companies, you can compare the effects of market volatilities on Magic Software and Food Life 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 Magic Software with a short position of Food Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of Magic Software and Food Life.
Diversification Opportunities for Magic Software and Food Life
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Magic and Food is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Magic Software Enterprises and Food Life Companies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Food Life Companies and Magic 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 Magic Software Enterprises are associated (or correlated) with Food Life. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Food Life Companies has no effect on the direction of Magic Software i.e., Magic Software and Food Life go up and down completely randomly.
Pair Corralation between Magic Software and Food Life
Assuming the 90 days horizon Magic Software Enterprises is expected to generate 1.3 times more return on investment than Food Life. However, Magic Software is 1.3 times more volatile than Food Life Companies. It trades about 0.02 of its potential returns per unit of risk. Food Life Companies is currently generating about 0.02 per unit of risk. If you would invest 1,089 in Magic Software Enterprises on September 2, 2024 and sell it today you would earn a total of 71.00 from holding Magic Software Enterprises or generate 6.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Magic Software Enterprises vs. Food Life Companies
Performance |
Timeline |
Magic Software Enter |
Food Life Companies |
Magic Software and Food Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Magic Software and Food Life
The main advantage of trading using opposite Magic Software and Food Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Magic Software position performs unexpectedly, Food Life 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 Food Life will offset losses from the drop in Food Life's long position.Magic Software vs. Synopsys | Magic Software vs. Superior Plus Corp | Magic Software vs. NMI Holdings | Magic Software vs. Origin Agritech |
Food Life vs. Insurance Australia Group | Food Life vs. United Insurance Holdings | Food Life vs. American Airlines Group | Food Life vs. SINGAPORE AIRLINES |
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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