Correlation Between Elixinol Global and Indo Global
Can any of the company-specific risk be diversified away by investing in both Elixinol Global and Indo Global 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 Elixinol Global and Indo Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Elixinol Global and Indo Global Exchange, you can compare the effects of market volatilities on Elixinol Global and Indo Global 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 Elixinol Global with a short position of Indo Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Elixinol Global and Indo Global.
Diversification Opportunities for Elixinol Global and Indo Global
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Elixinol and Indo is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Elixinol Global and Indo Global Exchange in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Indo Global Exchange and Elixinol Global 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 Elixinol Global are associated (or correlated) with Indo Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Indo Global Exchange has no effect on the direction of Elixinol Global i.e., Elixinol Global and Indo Global go up and down completely randomly.
Pair Corralation between Elixinol Global and Indo Global
Assuming the 90 days horizon Elixinol Global is expected to generate 14.42 times more return on investment than Indo Global. However, Elixinol Global is 14.42 times more volatile than Indo Global Exchange. It trades about 0.16 of its potential returns per unit of risk. Indo Global Exchange is currently generating about 0.1 per unit of risk. If you would invest 0.22 in Elixinol Global on September 16, 2024 and sell it today you would earn a total of 0.28 from holding Elixinol Global or generate 127.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.48% |
Values | Daily Returns |
Elixinol Global vs. Indo Global Exchange
Performance |
Timeline |
Elixinol Global |
Indo Global Exchange |
Elixinol Global and Indo Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Elixinol Global and Indo Global
The main advantage of trading using opposite Elixinol Global and Indo Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Elixinol Global position performs unexpectedly, Indo Global 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 Indo Global will offset losses from the drop in Indo Global's long position.Elixinol Global vs. Pharmadrug | Elixinol Global vs. Livewire Ergogenics | Elixinol Global vs. Agra Ventures | Elixinol Global vs. BellRock Brands |
Indo Global vs. Cann American Corp | Indo Global vs. GelStat Corp | Indo Global vs. Green Cures Botanical | Indo Global vs. For The Earth |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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