Correlation Between Green Cross and Sk Biopharmaceutica
Can any of the company-specific risk be diversified away by investing in both Green Cross and Sk Biopharmaceutica 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 Green Cross and Sk Biopharmaceutica into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Green Cross Lab and Sk Biopharmaceuticals Co, you can compare the effects of market volatilities on Green Cross and Sk Biopharmaceutica 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 Green Cross with a short position of Sk Biopharmaceutica. Check out your portfolio center. Please also check ongoing floating volatility patterns of Green Cross and Sk Biopharmaceutica.
Diversification Opportunities for Green Cross and Sk Biopharmaceutica
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Green and 326030 is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Green Cross Lab and Sk Biopharmaceuticals Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sk Biopharmaceuticals and Green Cross 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 Green Cross Lab are associated (or correlated) with Sk Biopharmaceutica. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sk Biopharmaceuticals has no effect on the direction of Green Cross i.e., Green Cross and Sk Biopharmaceutica go up and down completely randomly.
Pair Corralation between Green Cross and Sk Biopharmaceutica
Assuming the 90 days trading horizon Green Cross Lab is expected to under-perform the Sk Biopharmaceutica. In addition to that, Green Cross is 1.18 times more volatile than Sk Biopharmaceuticals Co. It trades about -0.04 of its total potential returns per unit of risk. Sk Biopharmaceuticals Co is currently generating about 0.15 per unit of volatility. If you would invest 9,750,000 in Sk Biopharmaceuticals Co on September 20, 2024 and sell it today you would earn a total of 880,000 from holding Sk Biopharmaceuticals Co or generate 9.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Green Cross Lab vs. Sk Biopharmaceuticals Co
Performance |
Timeline |
Green Cross Lab |
Sk Biopharmaceuticals |
Green Cross and Sk Biopharmaceutica Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Green Cross and Sk Biopharmaceutica
The main advantage of trading using opposite Green Cross and Sk Biopharmaceutica positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Green Cross position performs unexpectedly, Sk Biopharmaceutica 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 Sk Biopharmaceutica will offset losses from the drop in Sk Biopharmaceutica's long position.Green Cross vs. Display Tech Co | Green Cross vs. CG Hi Tech | Green Cross vs. Jin Air Co | Green Cross vs. Daesung Hi Tech Co |
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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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