Correlation Between Dongil Metal and Osang Healthcare
Can any of the company-specific risk be diversified away by investing in both Dongil Metal and Osang Healthcare 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 Dongil Metal and Osang Healthcare into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dongil Metal Co and Osang Healthcare Co,Ltd, you can compare the effects of market volatilities on Dongil Metal and Osang Healthcare 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 Dongil Metal with a short position of Osang Healthcare. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongil Metal and Osang Healthcare.
Diversification Opportunities for Dongil Metal and Osang Healthcare
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Dongil and Osang is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Dongil Metal Co and Osang Healthcare Co,Ltd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Osang Healthcare Co,Ltd and Dongil Metal 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 Dongil Metal Co are associated (or correlated) with Osang Healthcare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Osang Healthcare Co,Ltd has no effect on the direction of Dongil Metal i.e., Dongil Metal and Osang Healthcare go up and down completely randomly.
Pair Corralation between Dongil Metal and Osang Healthcare
Assuming the 90 days trading horizon Dongil Metal Co is expected to under-perform the Osang Healthcare. But the stock apears to be less risky and, when comparing its historical volatility, Dongil Metal Co is 2.59 times less risky than Osang Healthcare. The stock trades about -0.18 of its potential returns per unit of risk. The Osang Healthcare Co,Ltd is currently generating about -0.06 of returns per unit of risk over similar time horizon. If you would invest 1,314,000 in Osang Healthcare Co,Ltd on September 15, 2024 and sell it today you would lose (129,000) from holding Osang Healthcare Co,Ltd or give up 9.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Dongil Metal Co vs. Osang Healthcare Co,Ltd
Performance |
Timeline |
Dongil Metal |
Osang Healthcare Co,Ltd |
Dongil Metal and Osang Healthcare Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongil Metal and Osang Healthcare
The main advantage of trading using opposite Dongil Metal and Osang Healthcare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongil Metal position performs unexpectedly, Osang Healthcare 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 Osang Healthcare will offset losses from the drop in Osang Healthcare's long position.Dongil Metal vs. LG Chemicals | Dongil Metal vs. POSCO Holdings | Dongil Metal vs. Hanwha Solutions | Dongil Metal vs. Lotte Chemical Corp |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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