Correlation Between Innelec Multimedia and Solocal Group
Can any of the company-specific risk be diversified away by investing in both Innelec Multimedia and Solocal Group 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 Innelec Multimedia and Solocal Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Innelec Multimedia and Solocal Group SA, you can compare the effects of market volatilities on Innelec Multimedia and Solocal Group 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 Innelec Multimedia with a short position of Solocal Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Innelec Multimedia and Solocal Group.
Diversification Opportunities for Innelec Multimedia and Solocal Group
-0.71 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Innelec and Solocal is -0.71. Overlapping area represents the amount of risk that can be diversified away by holding Innelec Multimedia and Solocal Group SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Solocal Group SA and Innelec Multimedia 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 Innelec Multimedia are associated (or correlated) with Solocal Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Solocal Group SA has no effect on the direction of Innelec Multimedia i.e., Innelec Multimedia and Solocal Group go up and down completely randomly.
Pair Corralation between Innelec Multimedia and Solocal Group
Assuming the 90 days trading horizon Innelec Multimedia is expected to generate 1.45 times more return on investment than Solocal Group. However, Innelec Multimedia is 1.45 times more volatile than Solocal Group SA. It trades about 0.11 of its potential returns per unit of risk. Solocal Group SA is currently generating about -0.03 per unit of risk. If you would invest 279.00 in Innelec Multimedia on April 24, 2025 and sell it today you would earn a total of 46.00 from holding Innelec Multimedia or generate 16.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Innelec Multimedia vs. Solocal Group SA
Performance |
Timeline |
Innelec Multimedia |
Solocal Group SA |
Innelec Multimedia and Solocal Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Innelec Multimedia and Solocal Group
The main advantage of trading using opposite Innelec Multimedia and Solocal Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Innelec Multimedia position performs unexpectedly, Solocal Group 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 Solocal Group will offset losses from the drop in Solocal Group's long position.Innelec Multimedia vs. Damartex | Innelec Multimedia vs. BigBen Interactive | Innelec Multimedia vs. Lacroix Group SA | Innelec Multimedia vs. Rexel SA |
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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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