Correlation Between Check Point and MTI Wireless
Can any of the company-specific risk be diversified away by investing in both Check Point and MTI Wireless 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 MTI Wireless 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 MTI Wireless Edge, you can compare the effects of market volatilities on Check Point and MTI Wireless 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 MTI Wireless. Check out your portfolio center. Please also check ongoing floating volatility patterns of Check Point and MTI Wireless.
Diversification Opportunities for Check Point and MTI Wireless
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Check and MTI is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding Check Point Software and MTI Wireless Edge in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MTI Wireless Edge 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 MTI Wireless. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MTI Wireless Edge has no effect on the direction of Check Point i.e., Check Point and MTI Wireless go up and down completely randomly.
Pair Corralation between Check Point and MTI Wireless
Assuming the 90 days trading horizon Check Point Software is expected to generate 1.17 times more return on investment than MTI Wireless. However, Check Point is 1.17 times more volatile than MTI Wireless Edge. It trades about 0.02 of its potential returns per unit of risk. MTI Wireless Edge is currently generating about -0.05 per unit of risk. If you would invest 18,923 in Check Point Software on September 18, 2024 and sell it today you would earn a total of 150.00 from holding Check Point Software or generate 0.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Check Point Software vs. MTI Wireless Edge
Performance |
Timeline |
Check Point Software |
MTI Wireless Edge |
Check Point and MTI Wireless Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Check Point and MTI Wireless
The main advantage of trading using opposite Check Point and MTI Wireless positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Check Point position performs unexpectedly, MTI Wireless 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 MTI Wireless will offset losses from the drop in MTI Wireless' long position.Check Point vs. Toyota Motor Corp | Check Point vs. SoftBank Group Corp | Check Point vs. OTP Bank Nyrt | Check Point vs. Hershey Co |
MTI Wireless vs. Team Internet Group | MTI Wireless vs. Travel Leisure Co | MTI Wireless vs. Herald Investment Trust | MTI Wireless vs. Creo Medical Group |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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