Correlation Between Haesung DS and Tokai Carbon
Can any of the company-specific risk be diversified away by investing in both Haesung DS and Tokai Carbon 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 Haesung DS and Tokai Carbon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Haesung DS Co and Tokai Carbon Korea, you can compare the effects of market volatilities on Haesung DS and Tokai Carbon 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 Haesung DS with a short position of Tokai Carbon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Haesung DS and Tokai Carbon.
Diversification Opportunities for Haesung DS and Tokai Carbon
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Haesung and Tokai is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Haesung DS Co and Tokai Carbon Korea in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tokai Carbon Korea and Haesung DS 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 Haesung DS Co are associated (or correlated) with Tokai Carbon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tokai Carbon Korea has no effect on the direction of Haesung DS i.e., Haesung DS and Tokai Carbon go up and down completely randomly.
Pair Corralation between Haesung DS and Tokai Carbon
Assuming the 90 days trading horizon Haesung DS Co is expected to under-perform the Tokai Carbon. In addition to that, Haesung DS is 1.12 times more volatile than Tokai Carbon Korea. It trades about -0.02 of its total potential returns per unit of risk. Tokai Carbon Korea is currently generating about -0.01 per unit of volatility. If you would invest 9,639,385 in Tokai Carbon Korea on September 6, 2024 and sell it today you would lose (2,759,385) from holding Tokai Carbon Korea or give up 28.63% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Haesung DS Co vs. Tokai Carbon Korea
Performance |
Timeline |
Haesung DS |
Tokai Carbon Korea |
Haesung DS and Tokai Carbon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Haesung DS and Tokai Carbon
The main advantage of trading using opposite Haesung DS and Tokai Carbon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Haesung DS position performs unexpectedly, Tokai Carbon 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 Tokai Carbon will offset losses from the drop in Tokai Carbon's long position.Haesung DS vs. Doosan Fuel Cell | Haesung DS vs. Daishin Balance 1 | Haesung DS vs. Total Soft Bank | Haesung DS vs. AptaBio Therapeutics |
Tokai Carbon vs. SK Hynix | Tokai Carbon vs. LX Semicon Co | Tokai Carbon vs. People Technology | Tokai Carbon vs. Hana Materials |
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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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