Correlation Between InMode and Software Effective
Can any of the company-specific risk be diversified away by investing in both InMode and Software Effective 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 InMode and Software Effective into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between InMode and Software Effective Solutions, you can compare the effects of market volatilities on InMode and Software Effective 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 InMode with a short position of Software Effective. Check out your portfolio center. Please also check ongoing floating volatility patterns of InMode and Software Effective.
Diversification Opportunities for InMode and Software Effective
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between InMode and Software is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding InMode and Software Effective Solutions in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Software Effective and InMode 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 InMode are associated (or correlated) with Software Effective. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Software Effective has no effect on the direction of InMode i.e., InMode and Software Effective go up and down completely randomly.
Pair Corralation between InMode and Software Effective
Given the investment horizon of 90 days InMode is expected to generate 26.98 times less return on investment than Software Effective. But when comparing it to its historical volatility, InMode is 9.39 times less risky than Software Effective. It trades about 0.05 of its potential returns per unit of risk. Software Effective Solutions is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 1.20 in Software Effective Solutions on September 16, 2024 and sell it today you would earn a total of 1.30 from holding Software Effective Solutions or generate 108.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
InMode vs. Software Effective Solutions
Performance |
Timeline |
InMode |
Software Effective |
InMode and Software Effective Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with InMode and Software Effective
The main advantage of trading using opposite InMode and Software Effective positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if InMode position performs unexpectedly, Software Effective 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 Software Effective will offset losses from the drop in Software Effective's long position.InMode vs. TransMedics Group | InMode vs. Inspire Medical Systems | InMode vs. Inari Medical | InMode vs. Insulet |
Software Effective vs. Two Hands Corp | Software Effective vs. Visium Technologies | Software Effective vs. Tautachrome | Software Effective vs. V 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 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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