Correlation Between Daihan Pharmaceutical and High Tech
Can any of the company-specific risk be diversified away by investing in both Daihan Pharmaceutical and High Tech 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 Daihan Pharmaceutical and High Tech into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daihan Pharmaceutical CoLtd and High Tech Pharm, you can compare the effects of market volatilities on Daihan Pharmaceutical and High Tech 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 Daihan Pharmaceutical with a short position of High Tech. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daihan Pharmaceutical and High Tech.
Diversification Opportunities for Daihan Pharmaceutical and High Tech
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Daihan and High is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding Daihan Pharmaceutical CoLtd and High Tech Pharm in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on High Tech Pharm and Daihan Pharmaceutical 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 Daihan Pharmaceutical CoLtd are associated (or correlated) with High Tech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of High Tech Pharm has no effect on the direction of Daihan Pharmaceutical i.e., Daihan Pharmaceutical and High Tech go up and down completely randomly.
Pair Corralation between Daihan Pharmaceutical and High Tech
Assuming the 90 days trading horizon Daihan Pharmaceutical CoLtd is expected to generate 0.4 times more return on investment than High Tech. However, Daihan Pharmaceutical CoLtd is 2.5 times less risky than High Tech. It trades about 0.06 of its potential returns per unit of risk. High Tech Pharm is currently generating about -0.04 per unit of risk. If you would invest 2,635,000 in Daihan Pharmaceutical CoLtd on August 31, 2024 and sell it today you would earn a total of 90,000 from holding Daihan Pharmaceutical CoLtd or generate 3.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Daihan Pharmaceutical CoLtd vs. High Tech Pharm
Performance |
Timeline |
Daihan Pharmaceutical |
High Tech Pharm |
Daihan Pharmaceutical and High Tech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daihan Pharmaceutical and High Tech
The main advantage of trading using opposite Daihan Pharmaceutical and High Tech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daihan Pharmaceutical position performs unexpectedly, High Tech 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 High Tech will offset losses from the drop in High Tech's long position.Daihan Pharmaceutical vs. Polaris Office Corp | Daihan Pharmaceutical vs. LS Materials | Daihan Pharmaceutical vs. Wireless Power Amplifier | Daihan Pharmaceutical vs. Korean Air Lines |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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