Correlation Between Organic Special and Green Cross
Can any of the company-specific risk be diversified away by investing in both Organic Special and Green Cross 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 Organic Special and Green Cross into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Organic Special Pet and Green Cross Medical, you can compare the effects of market volatilities on Organic Special and Green Cross 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 Organic Special with a short position of Green Cross. Check out your portfolio center. Please also check ongoing floating volatility patterns of Organic Special and Green Cross.
Diversification Opportunities for Organic Special and Green Cross
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Organic and Green is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Organic Special Pet and Green Cross Medical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Green Cross Medical and Organic Special 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 Organic Special Pet are associated (or correlated) with Green Cross. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Green Cross Medical has no effect on the direction of Organic Special i.e., Organic Special and Green Cross go up and down completely randomly.
Pair Corralation between Organic Special and Green Cross
Assuming the 90 days trading horizon Organic Special Pet is expected to under-perform the Green Cross. In addition to that, Organic Special is 1.22 times more volatile than Green Cross Medical. It trades about -0.12 of its total potential returns per unit of risk. Green Cross Medical is currently generating about -0.09 per unit of volatility. If you would invest 370,500 in Green Cross Medical on September 13, 2024 and sell it today you would lose (23,000) from holding Green Cross Medical or give up 6.21% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Organic Special Pet vs. Green Cross Medical
Performance |
Timeline |
Organic Special Pet |
Green Cross Medical |
Organic Special and Green Cross Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Organic Special and Green Cross
The main advantage of trading using opposite Organic Special and Green Cross positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Organic Special position performs unexpectedly, Green Cross 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 Green Cross will offset losses from the drop in Green Cross' long position.Organic Special vs. Samsung Electronics Co | Organic Special vs. Samsung Electronics Co | Organic Special vs. LG Energy Solution | Organic Special vs. SK Hynix |
Green Cross vs. Samsung Electronics Co | Green Cross vs. Samsung Electronics Co | Green Cross vs. SK Hynix | Green Cross vs. SK Holdings Co |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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