Correlation Between Magic Software and Global Knafaim
Can any of the company-specific risk be diversified away by investing in both Magic Software and Global Knafaim 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 Global Knafaim 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 Global Knafaim Leasing, you can compare the effects of market volatilities on Magic Software and Global Knafaim 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 Global Knafaim. Check out your portfolio center. Please also check ongoing floating volatility patterns of Magic Software and Global Knafaim.
Diversification Opportunities for Magic Software and Global Knafaim
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Magic and Global is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Magic Software Enterprises and Global Knafaim Leasing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global Knafaim Leasing 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 Global Knafaim. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global Knafaim Leasing has no effect on the direction of Magic Software i.e., Magic Software and Global Knafaim go up and down completely randomly.
Pair Corralation between Magic Software and Global Knafaim
Assuming the 90 days trading horizon Magic Software Enterprises is expected to generate 1.38 times more return on investment than Global Knafaim. However, Magic Software is 1.38 times more volatile than Global Knafaim Leasing. It trades about 0.11 of its potential returns per unit of risk. Global Knafaim Leasing is currently generating about 0.01 per unit of risk. If you would invest 429,400 in Magic Software Enterprises on December 30, 2024 and sell it today you would earn a total of 58,700 from holding Magic Software Enterprises or generate 13.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Magic Software Enterprises vs. Global Knafaim Leasing
Performance |
Timeline |
Magic Software Enter |
Global Knafaim Leasing |
Magic Software and Global Knafaim Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Magic Software and Global Knafaim
The main advantage of trading using opposite Magic Software and Global Knafaim positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Magic Software position performs unexpectedly, Global Knafaim 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 Global Knafaim will offset losses from the drop in Global Knafaim's long position.Magic Software vs. Sapiens International | Magic Software vs. AudioCodes | Magic Software vs. Matrix | Magic Software vs. Tower Semiconductor |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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