Correlation Between Daelim Trading and Korea Petro
Can any of the company-specific risk be diversified away by investing in both Daelim Trading and Korea Petro 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 Daelim Trading and Korea Petro into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daelim Trading Co and Korea Petro Chemical, you can compare the effects of market volatilities on Daelim Trading and Korea Petro 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 Daelim Trading with a short position of Korea Petro. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daelim Trading and Korea Petro.
Diversification Opportunities for Daelim Trading and Korea Petro
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Daelim and Korea is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Daelim Trading Co and Korea Petro Chemical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korea Petro Chemical and Daelim Trading 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 Daelim Trading Co are associated (or correlated) with Korea Petro. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korea Petro Chemical has no effect on the direction of Daelim Trading i.e., Daelim Trading and Korea Petro go up and down completely randomly.
Pair Corralation between Daelim Trading and Korea Petro
Assuming the 90 days trading horizon Daelim Trading Co is expected to generate 0.79 times more return on investment than Korea Petro. However, Daelim Trading Co is 1.26 times less risky than Korea Petro. It trades about -0.06 of its potential returns per unit of risk. Korea Petro Chemical is currently generating about -0.18 per unit of risk. If you would invest 295,500 in Daelim Trading Co on September 29, 2024 and sell it today you would lose (34,000) from holding Daelim Trading Co or give up 11.51% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Daelim Trading Co vs. Korea Petro Chemical
Performance |
Timeline |
Daelim Trading |
Korea Petro Chemical |
Daelim Trading and Korea Petro Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daelim Trading and Korea Petro
The main advantage of trading using opposite Daelim Trading and Korea Petro positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daelim Trading position performs unexpectedly, Korea Petro 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 Korea Petro will offset losses from the drop in Korea Petro's long position.Daelim Trading vs. AptaBio Therapeutics | Daelim Trading vs. Wonbang Tech Co | Daelim Trading vs. Busan Industrial Co | Daelim Trading vs. Busan Ind |
Korea Petro vs. LG Chemicals | Korea Petro vs. POSCO Holdings | Korea Petro vs. Hanwha Solutions | Korea Petro vs. Lotte Chemical Corp |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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