Correlation Between Aikchol Hospital and Eternal Energy
Can any of the company-specific risk be diversified away by investing in both Aikchol Hospital and Eternal Energy 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 Aikchol Hospital and Eternal Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aikchol Hospital Public and Eternal Energy Public, you can compare the effects of market volatilities on Aikchol Hospital and Eternal Energy 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 Aikchol Hospital with a short position of Eternal Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aikchol Hospital and Eternal Energy.
Diversification Opportunities for Aikchol Hospital and Eternal Energy
0.63 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Aikchol and Eternal is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Aikchol Hospital Public and Eternal Energy Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eternal Energy Public and Aikchol Hospital 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 Aikchol Hospital Public are associated (or correlated) with Eternal Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eternal Energy Public has no effect on the direction of Aikchol Hospital i.e., Aikchol Hospital and Eternal Energy go up and down completely randomly.
Pair Corralation between Aikchol Hospital and Eternal Energy
Assuming the 90 days trading horizon Aikchol Hospital Public is expected to generate 0.69 times more return on investment than Eternal Energy. However, Aikchol Hospital Public is 1.44 times less risky than Eternal Energy. It trades about -0.03 of its potential returns per unit of risk. Eternal Energy Public is currently generating about -0.11 per unit of risk. If you would invest 1,530 in Aikchol Hospital Public on December 29, 2024 and sell it today you would lose (150.00) from holding Aikchol Hospital Public or give up 9.8% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Aikchol Hospital Public vs. Eternal Energy Public
Performance |
Timeline |
Aikchol Hospital Public |
Eternal Energy Public |
Aikchol Hospital and Eternal Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aikchol Hospital and Eternal Energy
The main advantage of trading using opposite Aikchol Hospital and Eternal Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aikchol Hospital position performs unexpectedly, Eternal Energy 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 Eternal Energy will offset losses from the drop in Eternal Energy's long position.Aikchol Hospital vs. AP Public | Aikchol Hospital vs. Bumrungrad Hospital PCL | Aikchol Hospital vs. Advanced Information Technology | Aikchol Hospital vs. AJ Plast Public |
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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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