Correlation Between Check Point and Made Tech
Can any of the company-specific risk be diversified away by investing in both Check Point and Made Tech 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 Check Point and Made Tech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Check Point Software and Made Tech Group, you can compare the effects of market volatilities on Check Point and Made Tech 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 Check Point with a short position of Made Tech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Check Point and Made Tech.
Diversification Opportunities for Check Point and Made Tech
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Check and Made is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Check Point Software and Made Tech Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Made Tech Group and Check Point 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 Check Point Software are associated (or correlated) with Made Tech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Made Tech Group has no effect on the direction of Check Point i.e., Check Point and Made Tech go up and down completely randomly.
Pair Corralation between Check Point and Made Tech
Assuming the 90 days trading horizon Check Point is expected to generate 4.52 times less return on investment than Made Tech. But when comparing it to its historical volatility, Check Point Software is 2.1 times less risky than Made Tech. It trades about 0.1 of its potential returns per unit of risk. Made Tech Group is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 2,450 in Made Tech Group on April 23, 2025 and sell it today you would earn a total of 1,150 from holding Made Tech Group or generate 46.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.39% |
Values | Daily Returns |
Check Point Software vs. Made Tech Group
Performance |
Timeline |
Check Point Software |
Made Tech Group |
Check Point and Made Tech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Check Point and Made Tech
The main advantage of trading using opposite Check Point and Made Tech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Check Point position performs unexpectedly, Made Tech 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 Made Tech will offset losses from the drop in Made Tech's long position.Check Point vs. Capital Drilling | Check Point vs. Universal Health Services | Check Point vs. Premier Foods PLC | Check Point vs. OptiBiotix Health Plc |
Made Tech vs. Applied Materials | Made Tech vs. OptiBiotix Health Plc | Made Tech vs. Planet Fitness Cl | Made Tech vs. Bellevue Healthcare Trust |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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