Correlation Between I Components and Doosan Heavy
Can any of the company-specific risk be diversified away by investing in both I Components and Doosan Heavy 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 I Components and Doosan Heavy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between i Components Co and Doosan Heavy Ind, you can compare the effects of market volatilities on I Components and Doosan Heavy 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 I Components with a short position of Doosan Heavy. Check out your portfolio center. Please also check ongoing floating volatility patterns of I Components and Doosan Heavy.
Diversification Opportunities for I Components and Doosan Heavy
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between 059100 and Doosan is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding i Components Co and Doosan Heavy Ind in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Doosan Heavy Ind and I Components 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 i Components Co are associated (or correlated) with Doosan Heavy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Doosan Heavy Ind has no effect on the direction of I Components i.e., I Components and Doosan Heavy go up and down completely randomly.
Pair Corralation between I Components and Doosan Heavy
Assuming the 90 days trading horizon i Components Co is expected to under-perform the Doosan Heavy. In addition to that, I Components is 1.09 times more volatile than Doosan Heavy Ind. It trades about -0.02 of its total potential returns per unit of risk. Doosan Heavy Ind is currently generating about 0.02 per unit of volatility. If you would invest 1,690,000 in Doosan Heavy Ind on October 3, 2024 and sell it today you would earn a total of 65,000 from holding Doosan Heavy Ind or generate 3.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
i Components Co vs. Doosan Heavy Ind
Performance |
Timeline |
i Components |
Doosan Heavy Ind |
I Components and Doosan Heavy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with I Components and Doosan Heavy
The main advantage of trading using opposite I Components and Doosan Heavy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if I Components position performs unexpectedly, Doosan Heavy 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 Doosan Heavy will offset losses from the drop in Doosan Heavy's long position.I Components vs. Samsung Electronics Co | I Components vs. Samsung Electronics Co | I Components vs. LG Energy Solution | I Components vs. SK Hynix |
Doosan Heavy vs. KT Submarine Telecom | Doosan Heavy vs. ECSTELECOM Co | Doosan Heavy vs. Osang Healthcare Co,Ltd | Doosan Heavy vs. Nable Communications |
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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