Correlation Between Green Cross and Neungyule Education
Can any of the company-specific risk be diversified away by investing in both Green Cross and Neungyule Education 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 Neungyule Education into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Green Cross Medical and Neungyule Education, you can compare the effects of market volatilities on Green Cross and Neungyule Education 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 Neungyule Education. Check out your portfolio center. Please also check ongoing floating volatility patterns of Green Cross and Neungyule Education.
Diversification Opportunities for Green Cross and Neungyule Education
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Green and Neungyule is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Green Cross Medical and Neungyule Education in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Neungyule Education 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 Medical are associated (or correlated) with Neungyule Education. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Neungyule Education has no effect on the direction of Green Cross i.e., Green Cross and Neungyule Education go up and down completely randomly.
Pair Corralation between Green Cross and Neungyule Education
Assuming the 90 days trading horizon Green Cross Medical is expected to generate 1.03 times more return on investment than Neungyule Education. However, Green Cross is 1.03 times more volatile than Neungyule Education. It trades about 0.4 of its potential returns per unit of risk. Neungyule Education is currently generating about 0.19 per unit of risk. If you would invest 333,500 in Green Cross Medical on October 11, 2024 and sell it today you would earn a total of 112,000 from holding Green Cross Medical or generate 33.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Green Cross Medical vs. Neungyule Education
Performance |
Timeline |
Green Cross Medical |
Neungyule Education |
Green Cross and Neungyule Education Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Green Cross and Neungyule Education
The main advantage of trading using opposite Green Cross and Neungyule Education positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Green Cross position performs unexpectedly, Neungyule Education 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 Neungyule Education will offset losses from the drop in Neungyule Education's long position.Green Cross vs. Next Entertainment World | Green Cross vs. Lotte Chilsung Beverage | Green Cross vs. MediaZen | Green Cross vs. iNtRON Biotechnology |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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