Correlation Between ALTEOGEN and Green Cross
Can any of the company-specific risk be diversified away by investing in both ALTEOGEN 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 ALTEOGEN and Green Cross into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ALTEOGEN and Green Cross Lab, you can compare the effects of market volatilities on ALTEOGEN 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 ALTEOGEN with a short position of Green Cross. Check out your portfolio center. Please also check ongoing floating volatility patterns of ALTEOGEN and Green Cross.
Diversification Opportunities for ALTEOGEN and Green Cross
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between ALTEOGEN and Green is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding ALTEOGEN and Green Cross Lab in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Green Cross Lab and ALTEOGEN 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 ALTEOGEN 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 Lab has no effect on the direction of ALTEOGEN i.e., ALTEOGEN and Green Cross go up and down completely randomly.
Pair Corralation between ALTEOGEN and Green Cross
Assuming the 90 days trading horizon ALTEOGEN is expected to under-perform the Green Cross. In addition to that, ALTEOGEN is 1.94 times more volatile than Green Cross Lab. It trades about -0.12 of its total potential returns per unit of risk. Green Cross Lab is currently generating about -0.11 per unit of volatility. If you would invest 2,595,000 in Green Cross Lab on September 22, 2024 and sell it today you would lose (245,000) from holding Green Cross Lab or give up 9.44% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.65% |
Values | Daily Returns |
ALTEOGEN vs. Green Cross Lab
Performance |
Timeline |
ALTEOGEN |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Green Cross Lab |
ALTEOGEN and Green Cross Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ALTEOGEN and Green Cross
The main advantage of trading using opposite ALTEOGEN and Green Cross positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ALTEOGEN 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.The idea behind ALTEOGEN and Green Cross Lab pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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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