Correlation Between Aprogen Healthcare and Hankukpackage
Can any of the company-specific risk be diversified away by investing in both Aprogen Healthcare and Hankukpackage 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 Aprogen Healthcare and Hankukpackage into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aprogen Healthcare Games and Hankukpackage Co, you can compare the effects of market volatilities on Aprogen Healthcare and Hankukpackage 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 Aprogen Healthcare with a short position of Hankukpackage. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aprogen Healthcare and Hankukpackage.
Diversification Opportunities for Aprogen Healthcare and Hankukpackage
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Aprogen and Hankukpackage is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Aprogen Healthcare Games and Hankukpackage Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hankukpackage and Aprogen Healthcare 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 Aprogen Healthcare Games are associated (or correlated) with Hankukpackage. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hankukpackage has no effect on the direction of Aprogen Healthcare i.e., Aprogen Healthcare and Hankukpackage go up and down completely randomly.
Pair Corralation between Aprogen Healthcare and Hankukpackage
Assuming the 90 days trading horizon Aprogen Healthcare Games is expected to generate 1.98 times more return on investment than Hankukpackage. However, Aprogen Healthcare is 1.98 times more volatile than Hankukpackage Co. It trades about 0.14 of its potential returns per unit of risk. Hankukpackage Co is currently generating about 0.23 per unit of risk. If you would invest 44,700 in Aprogen Healthcare Games on October 9, 2024 and sell it today you would earn a total of 6,200 from holding Aprogen Healthcare Games or generate 13.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Aprogen Healthcare Games vs. Hankukpackage Co
Performance |
Timeline |
Aprogen Healthcare Games |
Hankukpackage |
Aprogen Healthcare and Hankukpackage Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aprogen Healthcare and Hankukpackage
The main advantage of trading using opposite Aprogen Healthcare and Hankukpackage positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aprogen Healthcare position performs unexpectedly, Hankukpackage 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 Hankukpackage will offset losses from the drop in Hankukpackage's long position.Aprogen Healthcare vs. Jb Financial | Aprogen Healthcare vs. DB Insurance Co | Aprogen Healthcare vs. Samsung Life Insurance | Aprogen Healthcare vs. DB Financial Investment |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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